├── tools └── mydataloader.py ├── mmseg ├── .mim │ ├── tools │ │ └── mydataloader.py │ └── configs │ │ ├── icnet │ │ ├── icnet_r101-d8_832x832_80k_cityscapes.py │ │ ├── icnet_r101-d8_832x832_160k_cityscapes.py │ │ ├── icnet_r18-d8_832x832_160k_cityscapes.py │ │ ├── icnet_r18-d8_832x832_80k_cityscapes.py │ │ ├── icnet_r50-d8_832x832_80k_cityscapes.py │ │ ├── icnet_r50-d8_832x832_160k_cityscapes.py │ │ ├── icnet_r50-d8_in1k-pre_832x832_80k_cityscapes.py │ │ └── icnet_r50-d8_in1k-pre_832x832_160k_cityscapes.py │ │ ├── stdc │ │ └── stdc2_512x1024_80k_cityscapes.py │ │ ├── ann │ │ ├── ann_r101-d8_512x512_160k_ade20k.py │ │ ├── ann_r101-d8_512x512_80k_ade20k.py │ │ ├── ann_r101-d8_512x512_20k_voc12aug.py │ │ ├── ann_r101-d8_512x512_40k_voc12aug.py │ │ ├── ann_r101-d8_769x769_40k_cityscapes.py │ │ ├── ann_r101-d8_769x769_80k_cityscapes.py │ │ ├── ann_r101-d8_512x1024_40k_cityscapes.py │ │ ├── ann_r101-d8_512x1024_80k_cityscapes.py │ │ ├── ann_r50-d8_512x1024_40k_cityscapes.py │ │ ├── ann_r50-d8_512x1024_80k_cityscapes.py │ │ └── ann_r50-d8_512x512_80k_ade20k.py │ │ ├── dnlnet │ │ ├── dnl_r101-d8_512x512_80k_ade20k.py │ │ ├── dnl_r101-d8_512x512_160k_ade20k.py │ │ ├── dnl_r101-d8_512x1024_40k_cityscapes.py │ │ ├── dnl_r101-d8_512x1024_80k_cityscapes.py │ │ ├── dnl_r101-d8_769x769_40k_cityscapes.py │ │ ├── dnl_r101-d8_769x769_80k_cityscapes.py │ │ ├── dnl_r50-d8_512x1024_40k_cityscapes.py │ │ └── dnl_r50-d8_512x1024_80k_cityscapes.py │ │ ├── fcn │ │ ├── fcn_r101-d8_512x512_160k_ade20k.py │ │ ├── fcn_r101-d8_512x512_80k_ade20k.py │ │ ├── fcn_r101-d8_512x512_20k_voc12aug.py │ │ ├── fcn_r101-d8_512x512_40k_voc12aug.py │ │ ├── fcn_r101-d8_769x769_40k_cityscapes.py │ │ ├── fcn_r101-d8_769x769_80k_cityscapes.py │ │ ├── fcn_r50b-d8_769x769_80k_cityscapes.py │ │ ├── fcn_r101-d8_512x1024_40k_cityscapes.py │ │ ├── fcn_r101-d8_512x1024_80k_cityscapes.py │ │ ├── fcn_r50b-d8_512x1024_80k_cityscapes.py │ │ ├── fcn_d6_r101-d16_512x1024_40k_cityscapes.py │ │ ├── fcn_d6_r101-d16_512x1024_80k_cityscapes.py │ │ ├── fcn_d6_r101-d16_769x769_40k_cityscapes.py │ │ ├── fcn_d6_r101-d16_769x769_80k_cityscapes.py │ │ ├── fcn_d6_r50b-d16_512x1024_80k_cityscapes.py │ │ ├── fcn_d6_r50b-d16_769x769_80k_cityscapes.py │ │ ├── fcn_r101-d8_480x480_40k_pascal_context.py │ │ ├── fcn_r101-d8_480x480_80k_pascal_context.py │ │ ├── fcn_r101-d8_480x480_40k_pascal_context_59.py │ │ ├── fcn_r101-d8_480x480_80k_pascal_context_59.py │ │ ├── fcn_r101b-d8_769x769_80k_cityscapes.py │ │ ├── fcn_r101b-d8_512x1024_80k_cityscapes.py │ │ ├── fcn_d6_r101b-d16_769x769_80k_cityscapes.py │ │ ├── fcn_r50-d8_512x1024_40k_cityscapes.py │ │ ├── fcn_r50-d8_512x1024_80k_cityscapes.py │ │ ├── fcn_d6_r101b-d16_512x1024_80k_cityscapes.py │ │ ├── fcn_r101-d8_fp16_512x1024_80k_cityscapes.py │ │ └── fcn_r50-d8_512x512_80k_ade20k.py │ │ ├── sem_fpn │ │ ├── fpn_r101_512x512_160k_ade20k.py │ │ ├── fpn_r101_512x1024_80k_cityscapes.py │ │ ├── fpn_r50_512x1024_80k_cityscapes.py │ │ └── fpn_r50_512x512_160k_ade20k.py │ │ ├── setr │ │ └── setr_mla_512x512_160k_b16_ade20k.py │ │ ├── ccnet │ │ ├── ccnet_r101-d8_512x512_160k_ade20k.py │ │ ├── ccnet_r101-d8_512x512_80k_ade20k.py │ │ ├── ccnet_r101-d8_512x512_20k_voc12aug.py │ │ ├── ccnet_r101-d8_512x512_40k_voc12aug.py │ │ ├── ccnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── ccnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── ccnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── ccnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── ccnet_r50-d8_512x1024_40k_cityscapes.py │ │ └── ccnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── danet │ │ ├── danet_r101-d8_512x512_160k_ade20k.py │ │ ├── danet_r101-d8_512x512_80k_ade20k.py │ │ ├── danet_r101-d8_512x512_20k_voc12aug.py │ │ ├── danet_r101-d8_512x512_40k_voc12aug.py │ │ ├── danet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── danet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── danet_r101-d8_769x769_40k_cityscapes.py │ │ ├── danet_r101-d8_769x769_80k_cityscapes.py │ │ ├── danet_r50-d8_512x1024_40k_cityscapes.py │ │ └── danet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── dmnet │ │ ├── dmnet_r101-d8_512x512_160k_ade20k.py │ │ ├── dmnet_r101-d8_512x512_80k_ade20k.py │ │ ├── dmnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── dmnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── dmnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── dmnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── dmnet_r50-d8_512x1024_40k_cityscapes.py │ │ └── dmnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── gcnet │ │ ├── gcnet_r101-d8_512x512_160k_ade20k.py │ │ ├── gcnet_r101-d8_512x512_80k_ade20k.py │ │ ├── gcnet_r101-d8_512x512_20k_voc12aug.py │ │ ├── gcnet_r101-d8_512x512_40k_voc12aug.py │ │ ├── gcnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── gcnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── gcnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── gcnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── gcnet_r50-d8_512x1024_40k_cityscapes.py │ │ └── gcnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── pspnet │ │ ├── pspnet_r101-d8_512x1024_40k_dark.py │ │ ├── pspnet_r101-d8_512x512_160k_ade20k.py │ │ ├── pspnet_r101-d8_512x512_20k_voc12aug.py │ │ ├── pspnet_r101-d8_512x512_40k_voc12aug.py │ │ ├── pspnet_r101-d8_512x512_80k_ade20k.py │ │ ├── pspnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── pspnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── pspnet_r50b-d8_769x769_80k_cityscapes.py │ │ ├── pspnet_r101-d8_4x4_512x512_80k_potsdam.py │ │ ├── pspnet_r101-d8_4x4_512x512_80k_vaihingen.py │ │ ├── pspnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── pspnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── pspnet_r50b-d8_512x1024_80k_cityscapes.py │ │ ├── pspnet_r101-d8_480x480_40k_pascal_context.py │ │ ├── pspnet_r101-d8_480x480_80k_pascal_context.py │ │ ├── pspnet_r101-d8_512x1024_40k_night_driving.py │ │ ├── pspnet_r101-d8_480x480_40k_pascal_context_59.py │ │ ├── pspnet_r101-d8_480x480_80k_pascal_context_59.py │ │ ├── pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k.py │ │ ├── pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k.py │ │ ├── pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k.py │ │ ├── pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k.py │ │ ├── pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k.py │ │ ├── pspnet_r101b-d8_512x1024_80k_dark.py │ │ ├── pspnet_r101b-d8_769x769_80k_cityscapes.py │ │ ├── pspnet_r101b-d8_512x1024_80k_cityscapes.py │ │ ├── pspnet_r101b-d8_512x1024_80k_night_driving.py │ │ ├── pspnet_r50-d8_512x1024_40k_cityscapes.py │ │ ├── pspnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── pspnet_r101-d8_fp16_512x1024_80k_cityscapes.py │ │ ├── pspnet_r101-d8_512x512_80k_loveda.py │ │ └── pspnet_r50-d32_512x1024_80k_cityscapes.py │ │ ├── upernet │ │ ├── upernet_r101_512x512_160k_ade20k.py │ │ ├── upernet_r101_512x512_80k_ade20k.py │ │ ├── upernet_r101_512x512_20k_voc12aug.py │ │ ├── upernet_r101_512x512_40k_voc12aug.py │ │ ├── upernet_r101_512x1024_40k_cityscapes.py │ │ ├── upernet_r101_512x1024_80k_cityscapes.py │ │ ├── upernet_r101_769x769_40k_cityscapes.py │ │ ├── upernet_r101_769x769_80k_cityscapes.py │ │ ├── upernet_r50_512x1024_40k_cityscapes.py │ │ └── upernet_r50_512x1024_80k_cityscapes.py │ │ ├── apcnet │ │ ├── apcnet_r101-d8_512x512_160k_ade20k.py │ │ ├── apcnet_r101-d8_512x512_80k_ade20k.py │ │ ├── apcnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── apcnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── apcnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── apcnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── apcnet_r50-d8_512x1024_40k_cityscapes.py │ │ └── apcnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── encnet │ │ ├── encnet_r101-d8_512x512_160k_ade20k.py │ │ ├── encnet_r101-d8_512x512_20k_voc12aug.py │ │ ├── encnet_r101-d8_512x512_40k_voc12aug.py │ │ ├── encnet_r101-d8_512x512_80k_ade20k.py │ │ ├── encnet_r101-d8_769x769_40k_cityscapes.py │ │ ├── encnet_r101-d8_769x769_80k_cityscapes.py │ │ ├── encnet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── encnet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── encnet_r50-d8_512x1024_40k_cityscapes.py │ │ └── encnet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── isanet │ │ ├── isanet_r101-d8_512x512_160k_ade20k.py │ │ ├── isanet_r101-d8_512x512_20k_voc12aug.py │ │ ├── isanet_r101-d8_512x512_40k_voc12aug.py │ │ ├── isanet_r101-d8_512x512_80k_ade20k.py │ │ ├── isanet_r101-d8_769x769_40k_cityscapes.py │ │ ├── isanet_r101-d8_769x769_80k_cityscapes.py │ │ ├── isanet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── isanet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── isanet_r50-d8_512x1024_40k_cityscapes.py │ │ └── isanet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── psanet │ │ ├── psanet_r101-d8_512x512_160k_ade20k.py │ │ ├── psanet_r101-d8_512x512_20k_voc12aug.py │ │ ├── psanet_r101-d8_512x512_40k_voc12aug.py │ │ ├── psanet_r101-d8_512x512_80k_ade20k.py │ │ ├── psanet_r101-d8_769x769_40k_cityscapes.py │ │ ├── psanet_r101-d8_769x769_80k_cityscapes.py │ │ ├── psanet_r101-d8_512x1024_40k_cityscapes.py │ │ ├── psanet_r101-d8_512x1024_80k_cityscapes.py │ │ ├── psanet_r50-d8_512x1024_40k_cityscapes.py │ │ └── psanet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3 │ │ ├── deeplabv3_r101-d8_512x512_80k_ade20k.py │ │ ├── deeplabv3_r101-d8_512x512_160k_ade20k.py │ │ ├── deeplabv3_r101-d8_512x512_20k_voc12aug.py │ │ ├── deeplabv3_r101-d8_512x512_40k_voc12aug.py │ │ ├── deeplabv3_r101-d8_512x1024_40k_cityscapes.py │ │ ├── deeplabv3_r101-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3_r101-d8_769x769_40k_cityscapes.py │ │ ├── deeplabv3_r101-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3_r50b-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3_r50b-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3_r101-d8_480x480_40k_pascal_context.py │ │ ├── deeplabv3_r101-d8_480x480_80k_pascal_context.py │ │ ├── deeplabv3_r101-d8_480x480_40k_pascal_context_59.py │ │ ├── deeplabv3_r101-d8_480x480_80k_pascal_context_59.py │ │ ├── deeplabv3_r101-d8_512x512_4x4_20k_coco-stuff10k.py │ │ ├── deeplabv3_r101-d8_512x512_4x4_40k_coco-stuff10k.py │ │ ├── deeplabv3_r101-d8_512x512_4x4_80k_coco-stuff164k.py │ │ ├── deeplabv3_r101-d8_512x512_4x4_160k_coco-stuff164k.py │ │ ├── deeplabv3_r101-d8_512x512_4x4_320k_coco-stuff164k.py │ │ ├── deeplabv3_r101b-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3_r101b-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3_r50-d8_512x1024_40k_cityscapes.py │ │ ├── deeplabv3_r50-d8_512x1024_80k_cityscapes.py │ │ └── deeplabv3_r101-d8_fp16_512x1024_80k_cityscapes.py │ │ ├── emanet │ │ ├── emanet_r101-d8_769x769_80k_cityscapes.py │ │ ├── emanet_r101-d8_512x1024_80k_cityscapes.py │ │ └── emanet_r50-d8_512x1024_80k_cityscapes.py │ │ ├── point_rend │ │ ├── pointrend_r101_512x512_160k_ade20k.py │ │ ├── pointrend_r101_512x1024_80k_cityscapes.py │ │ └── pointrend_r50_512x1024_80k_cityscapes.py │ │ ├── nonlocal_net │ │ ├── nonlocal_r101-d8_512x512_160k_ade20k.py │ │ ├── nonlocal_r101-d8_512x512_20k_voc12aug.py │ │ ├── nonlocal_r101-d8_512x512_40k_voc12aug.py │ │ ├── nonlocal_r101-d8_512x512_80k_ade20k.py │ │ ├── nonlocal_r101-d8_769x769_40k_cityscapes.py │ │ ├── nonlocal_r101-d8_769x769_80k_cityscapes.py │ │ ├── nonlocal_r101-d8_512x1024_40k_cityscapes.py │ │ ├── nonlocal_r101-d8_512x1024_80k_cityscapes.py │ │ ├── nonlocal_r50-d8_512x1024_40k_cityscapes.py │ │ └── nonlocal_r50-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3plus │ │ ├── deeplabv3plus_r101-d8_512x512_160k_ade20k.py │ │ ├── deeplabv3plus_r101-d8_512x512_80k_ade20k.py │ │ ├── deeplabv3plus_r101-d8_512x512_80k_potsdam.py │ │ ├── deeplabv3plus_r101-d8_512x512_20k_voc12aug.py │ │ ├── deeplabv3plus_r101-d8_512x512_40k_voc12aug.py │ │ ├── deeplabv3plus_r101-d8_769x769_40k_cityscapes.py │ │ ├── deeplabv3plus_r101-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3plus_r50b-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3plus_r101-d8_512x1024_40k_cityscapes.py │ │ ├── deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3plus_r50b-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3plus_r101-d8_480x480_40k_pascal_context.py │ │ ├── deeplabv3plus_r101-d8_480x480_80k_pascal_context.py │ │ ├── deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen.py │ │ ├── deeplabv3plus_r101-d8_480x480_40k_pascal_context_59.py │ │ ├── deeplabv3plus_r101-d8_480x480_80k_pascal_context_59.py │ │ ├── deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py │ │ ├── deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py │ │ ├── deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py │ │ ├── deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes.py │ │ └── deeplabv3plus_r101-d8_512x512_80k_loveda.py │ │ ├── hrnet │ │ ├── fcn_hr18_512x1024_160k_cityscapes.py │ │ ├── fcn_hr18_512x1024_40k_cityscapes.py │ │ ├── fcn_hr18_512x1024_80k_cityscapes.py │ │ ├── fcn_hr18_512x512_80k_ade20k.py │ │ ├── fcn_hr18_512x512_80k_loveda.py │ │ ├── fcn_hr18_512x512_80k_potsdam.py │ │ ├── fcn_hr18_4x4_896x896_80k_isaid.py │ │ ├── fcn_hr18_512x512_160k_ade20k.py │ │ ├── fcn_hr18_4x4_512x512_80k_vaihingen.py │ │ ├── fcn_hr18_512x512_20k_voc12aug.py │ │ └── fcn_hr18_512x512_40k_voc12aug.py │ │ ├── bisenetv1 │ │ └── bisenetv1_r18-d32_in1k-pre_4x8_1024x1024_160k_cityscapes.py │ │ ├── ocrnet │ │ ├── ocrnet_hr18_512x1024_40k_cityscapes.py │ │ ├── ocrnet_hr18_512x1024_80k_cityscapes.py │ │ └── ocrnet_hr18_512x1024_160k_cityscapes.py │ │ ├── fastfcn │ │ ├── fastfcn_r50-d32_jpu_enc_4x4_512x1024_80k_cityscapes.py │ │ ├── fastfcn_r50-d32_jpu_aspp_4x4_512x1024_80k_cityscapes.py │ │ └── fastfcn_r50-d32_jpu_psp_512x1024_80k_cityscapes.py │ │ ├── vit │ │ ├── upernet_deit-b16_mln_512x512_160k_ade20k.py │ │ ├── upernet_deit-b16_512x512_160k_ade20k.py │ │ ├── upernet_deit-b16_512x512_80k_ade20k.py │ │ └── upernet_deit-b16_ln_mln_512x512_160k_ade20k.py │ │ ├── bisenetv2 │ │ └── bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py │ │ ├── erfnet │ │ └── erfnet_fcn_4x4_512x1024_160k_cityscapes.py │ │ └── unet │ │ └── pspnet_unet_s5-d16_256x256_40k_hrf.py ├── models │ └── decode_heads │ │ └── segnext_unet.py ├── core │ ├── hook │ │ └── __init__.py │ ├── utils │ │ └── __init__.py │ └── seg │ │ ├── sampler │ │ └── __init__.py │ │ └── __init__.py ├── datasets │ └── samplers │ │ └── __init__.py └── ops │ └── __init__.py ├── requirements ├── optional.txt ├── mminstall.txt ├── readthedocs.txt ├── runtime.txt ├── tests.txt └── docs.txt ├── tests ├── data │ ├── pseudo_dataset │ │ ├── splits │ │ │ ├── val.txt │ │ │ └── train.txt │ │ ├── gts │ │ │ ├── 00000_gt.png │ │ │ ├── 00001_gt.png │ │ │ ├── 00002_gt.png │ │ │ ├── 00003_gt.png │ │ │ └── 00004_gt.png │ │ └── imgs │ │ │ ├── 00000_img.jpg │ │ │ ├── 00001_img.jpg │ │ │ ├── 00002_img.jpg │ │ │ ├── 00003_img.jpg │ │ │ └── 00004_img.jpg │ ├── pseudo_isaid_dataset │ │ ├── img_dir │ │ │ ├── P0000_0_896_1024_1920.png │ │ │ └── P0000_0_896_1536_2432.png │ │ ├── splits │ │ │ ├── val.txt │ │ │ └── train.txt │ │ └── ann_dir │ │ │ ├── P0000_0_896_1024_1920_instance_color_RGB.png │ │ │ └── P0000_0_896_1536_2432_instance_color_RGB.png │ ├── seg.png │ ├── color.jpg │ ├── gray.jpg │ ├── pseudo_loveda_dataset │ │ ├── ann_dir │ │ │ ├── 0.png │ │ │ ├── 1.png │ │ │ └── 2.png │ │ └── img_dir │ │ │ ├── 0.png │ │ │ ├── 1.png │ │ │ └── 2.png │ ├── pseudo_potsdam_dataset │ │ ├── ann_dir │ │ │ └── 2_10_0_0_512_512.png │ │ └── img_dir │ │ │ └── 2_10_0_0_512_512.png │ ├── pseudo_vaihingen_dataset │ │ ├── ann_dir │ │ │ └── area1_0_0_512_512.png │ │ └── img_dir │ │ │ └── area1_0_0_512_512.png │ └── pseudo_cityscapes_dataset │ │ ├── gtFine │ │ ├── frankfurt_000000_000294_gtFine_labelIds.png │ │ ├── frankfurt_000000_000294_gtFine_instanceIds.png │ │ └── frankfurt_000000_000294_gtFine_labelTrainIds.png │ │ └── leftImg8bit │ │ └── frankfurt_000000_000294_leftImg8bit.png ├── __init__.py └── test_models │ ├── __init__.py │ ├── test_heads │ └── __init__.py │ ├── test_losses │ └── __init__.py │ ├── test_necks │ └── __init__.py │ ├── test_utils │ └── __init__.py │ ├── test_segmentors │ └── __init__.py │ └── test_backbones │ └── __init__.py ├── image ├── img.png ├── NALoss.png ├── model.png └── compare.png ├── requirements.txt ├── docs ├── zh_cn │ ├── imgs │ │ ├── zhihu_qrcode.jpg │ │ └── qq_group_qrcode.jpg │ ├── _static │ │ ├── images │ │ │ └── mmsegmentation.png │ │ └── css │ │ │ └── readthedocs.css │ ├── switch_language.md │ └── tutorials │ │ └── index.rst └── en │ ├── _static │ ├── images │ │ └── mmsegmentation.png │ └── css │ │ └── readthedocs.css │ ├── switch_language.md │ └── tutorials │ └── index.rst ├── dist └── mmsegmentation-0.30.0-py3.9.egg ├── configs ├── stdc │ └── stdc2_512x1024_80k_cityscapes.py ├── icnet │ ├── icnet_r101-d8_832x832_160k_cityscapes.py │ ├── icnet_r101-d8_832x832_80k_cityscapes.py │ ├── icnet_r18-d8_832x832_160k_cityscapes.py │ ├── icnet_r18-d8_832x832_80k_cityscapes.py │ ├── icnet_r50-d8_832x832_80k_cityscapes.py │ ├── icnet_r50-d8_832x832_160k_cityscapes.py │ ├── icnet_r50-d8_in1k-pre_832x832_80k_cityscapes.py │ └── icnet_r50-d8_in1k-pre_832x832_160k_cityscapes.py ├── setr │ └── setr_mla_512x512_160k_b16_ade20k.py ├── ann │ ├── ann_r101-d8_512x512_160k_ade20k.py │ ├── ann_r101-d8_512x512_20k_voc12aug.py │ ├── ann_r101-d8_512x512_40k_voc12aug.py │ ├── ann_r101-d8_512x512_80k_ade20k.py │ ├── ann_r101-d8_769x769_40k_cityscapes.py │ ├── ann_r101-d8_769x769_80k_cityscapes.py │ ├── ann_r101-d8_512x1024_40k_cityscapes.py │ ├── ann_r101-d8_512x1024_80k_cityscapes.py │ ├── ann_r50-d8_512x1024_40k_cityscapes.py │ ├── ann_r50-d8_512x1024_80k_cityscapes.py │ ├── ann_r50-d8_512x512_160k_ade20k.py │ ├── ann_r50-d8_512x512_80k_ade20k.py │ ├── ann_r50-d8_512x512_20k_voc12aug.py │ └── ann_r50-d8_512x512_40k_voc12aug.py ├── dnlnet │ ├── dnl_r101-d8_512x512_80k_ade20k.py │ ├── dnl_r101-d8_512x512_160k_ade20k.py │ ├── dnl_r101-d8_512x1024_40k_cityscapes.py │ ├── dnl_r101-d8_512x1024_80k_cityscapes.py │ ├── dnl_r101-d8_769x769_40k_cityscapes.py │ ├── dnl_r101-d8_769x769_80k_cityscapes.py │ ├── dnl_r50-d8_512x1024_40k_cityscapes.py │ ├── dnl_r50-d8_512x1024_80k_cityscapes.py │ ├── dnl_r50-d8_512x512_160k_ade20k.py │ └── dnl_r50-d8_512x512_80k_ade20k.py ├── fcn │ ├── fcn_r101-d8_512x512_160k_ade20k.py │ ├── fcn_r101-d8_512x512_20k_voc12aug.py │ ├── fcn_r101-d8_512x512_40k_voc12aug.py │ ├── fcn_r101-d8_512x512_80k_ade20k.py │ ├── fcn_r101-d8_769x769_40k_cityscapes.py │ ├── fcn_r101-d8_769x769_80k_cityscapes.py │ ├── fcn_r50b-d8_769x769_80k_cityscapes.py │ ├── fcn_r101-d8_512x1024_40k_cityscapes.py │ ├── fcn_r101-d8_512x1024_80k_cityscapes.py │ ├── fcn_r50b-d8_512x1024_80k_cityscapes.py │ ├── fcn_d6_r101-d16_512x1024_40k_cityscapes.py │ ├── fcn_d6_r101-d16_512x1024_80k_cityscapes.py │ ├── fcn_d6_r101-d16_769x769_40k_cityscapes.py │ ├── fcn_d6_r101-d16_769x769_80k_cityscapes.py │ ├── fcn_d6_r50b-d16_512x1024_80k_cityscapes.py │ ├── fcn_d6_r50b-d16_769x769_80k_cityscapes.py │ ├── fcn_r101-d8_480x480_40k_pascal_context.py │ ├── fcn_r101-d8_480x480_80k_pascal_context.py │ ├── fcn_r101-d8_480x480_40k_pascal_context_59.py │ ├── fcn_r101-d8_480x480_80k_pascal_context_59.py │ ├── fcn_r101b-d8_769x769_80k_cityscapes.py │ ├── fcn_r101b-d8_512x1024_80k_cityscapes.py │ ├── fcn_d6_r101b-d16_512x1024_80k_cityscapes.py │ ├── fcn_d6_r101b-d16_769x769_80k_cityscapes.py │ ├── fcn_r50-d8_512x1024_40k_cityscapes.py │ ├── fcn_r50-d8_512x1024_80k_cityscapes.py │ ├── fcn_r101-d8_fp16_512x1024_80k_cityscapes.py │ ├── fcn_r50-d8_512x512_160k_ade20k.py │ ├── fcn_r50-d8_512x512_80k_ade20k.py │ ├── fcn_r50-d8_512x512_20k_voc12aug.py │ └── fcn_r50-d8_512x512_40k_voc12aug.py ├── sem_fpn │ ├── fpn_r101_512x512_160k_ade20k.py │ ├── fpn_r101_512x1024_80k_cityscapes.py │ ├── fpn_r50_512x1024_80k_cityscapes.py │ └── fpn_r50_512x512_160k_ade20k.py ├── apcnet │ ├── apcnet_r101-d8_512x512_80k_ade20k.py │ ├── apcnet_r101-d8_512x512_160k_ade20k.py │ ├── apcnet_r101-d8_512x1024_40k_cityscapes.py │ ├── apcnet_r101-d8_512x1024_80k_cityscapes.py │ ├── apcnet_r101-d8_769x769_40k_cityscapes.py │ ├── apcnet_r101-d8_769x769_80k_cityscapes.py │ ├── apcnet_r50-d8_512x1024_40k_cityscapes.py │ ├── apcnet_r50-d8_512x1024_80k_cityscapes.py │ ├── apcnet_r50-d8_512x512_160k_ade20k.py │ └── apcnet_r50-d8_512x512_80k_ade20k.py ├── ccnet │ ├── ccnet_r101-d8_512x512_160k_ade20k.py │ ├── ccnet_r101-d8_512x512_80k_ade20k.py │ ├── ccnet_r101-d8_512x512_20k_voc12aug.py │ ├── ccnet_r101-d8_512x512_40k_voc12aug.py │ ├── ccnet_r101-d8_769x769_40k_cityscapes.py │ ├── ccnet_r101-d8_769x769_80k_cityscapes.py │ ├── ccnet_r101-d8_512x1024_40k_cityscapes.py │ ├── ccnet_r101-d8_512x1024_80k_cityscapes.py │ ├── ccnet_r50-d8_512x1024_40k_cityscapes.py │ ├── ccnet_r50-d8_512x1024_80k_cityscapes.py │ ├── ccnet_r50-d8_512x512_80k_ade20k.py │ └── ccnet_r50-d8_512x512_160k_ade20k.py ├── danet │ ├── danet_r101-d8_512x512_160k_ade20k.py │ ├── danet_r101-d8_512x512_80k_ade20k.py │ ├── danet_r101-d8_512x512_20k_voc12aug.py │ ├── danet_r101-d8_512x512_40k_voc12aug.py │ ├── danet_r101-d8_769x769_40k_cityscapes.py │ ├── danet_r101-d8_769x769_80k_cityscapes.py │ ├── danet_r101-d8_512x1024_40k_cityscapes.py │ ├── danet_r101-d8_512x1024_80k_cityscapes.py │ ├── danet_r50-d8_512x1024_40k_cityscapes.py │ ├── danet_r50-d8_512x1024_80k_cityscapes.py │ ├── danet_r50-d8_512x512_80k_ade20k.py │ └── danet_r50-d8_512x512_160k_ade20k.py ├── dmnet │ ├── dmnet_r101-d8_512x512_160k_ade20k.py │ ├── dmnet_r101-d8_512x512_80k_ade20k.py │ ├── dmnet_r101-d8_769x769_40k_cityscapes.py │ ├── dmnet_r101-d8_769x769_80k_cityscapes.py │ ├── dmnet_r101-d8_512x1024_40k_cityscapes.py │ ├── dmnet_r101-d8_512x1024_80k_cityscapes.py │ ├── dmnet_r50-d8_512x1024_40k_cityscapes.py │ ├── dmnet_r50-d8_512x1024_80k_cityscapes.py │ ├── dmnet_r50-d8_512x512_80k_ade20k.py │ └── dmnet_r50-d8_512x512_160k_ade20k.py ├── encnet │ ├── encnet_r101-d8_512x512_80k_ade20k.py │ ├── encnet_r101-d8_512x512_160k_ade20k.py │ ├── encnet_r101-d8_512x512_20k_voc12aug.py │ ├── encnet_r101-d8_512x512_40k_voc12aug.py │ ├── encnet_r101-d8_512x1024_40k_cityscapes.py │ ├── encnet_r101-d8_512x1024_80k_cityscapes.py │ ├── encnet_r101-d8_769x769_40k_cityscapes.py │ ├── encnet_r101-d8_769x769_80k_cityscapes.py │ ├── encnet_r50-d8_512x1024_40k_cityscapes.py │ ├── encnet_r50-d8_512x1024_80k_cityscapes.py │ ├── encnet_r50-d8_512x512_160k_ade20k.py │ └── encnet_r50-d8_512x512_80k_ade20k.py ├── gcnet │ ├── gcnet_r101-d8_512x512_160k_ade20k.py │ ├── gcnet_r101-d8_512x512_80k_ade20k.py │ ├── gcnet_r101-d8_512x512_20k_voc12aug.py │ ├── gcnet_r101-d8_512x512_40k_voc12aug.py │ ├── gcnet_r101-d8_769x769_40k_cityscapes.py │ ├── gcnet_r101-d8_769x769_80k_cityscapes.py │ ├── gcnet_r101-d8_512x1024_40k_cityscapes.py │ ├── gcnet_r101-d8_512x1024_80k_cityscapes.py │ ├── gcnet_r50-d8_512x1024_40k_cityscapes.py │ ├── gcnet_r50-d8_512x1024_80k_cityscapes.py │ ├── gcnet_r50-d8_512x512_80k_ade20k.py │ └── gcnet_r50-d8_512x512_160k_ade20k.py ├── isanet │ ├── isanet_r101-d8_512x512_80k_ade20k.py │ ├── isanet_r101-d8_512x512_160k_ade20k.py │ ├── isanet_r101-d8_512x512_20k_voc12aug.py │ ├── isanet_r101-d8_512x512_40k_voc12aug.py │ ├── isanet_r101-d8_512x1024_40k_cityscapes.py │ ├── isanet_r101-d8_512x1024_80k_cityscapes.py │ ├── isanet_r101-d8_769x769_40k_cityscapes.py │ ├── isanet_r101-d8_769x769_80k_cityscapes.py │ ├── isanet_r50-d8_512x1024_40k_cityscapes.py │ ├── isanet_r50-d8_512x1024_80k_cityscapes.py │ ├── isanet_r50-d8_512x512_160k_ade20k.py │ └── isanet_r50-d8_512x512_80k_ade20k.py ├── psanet │ ├── psanet_r101-d8_512x512_80k_ade20k.py │ ├── psanet_r101-d8_512x512_160k_ade20k.py │ ├── psanet_r101-d8_512x512_20k_voc12aug.py │ ├── psanet_r101-d8_512x512_40k_voc12aug.py │ ├── psanet_r101-d8_512x1024_40k_cityscapes.py │ ├── psanet_r101-d8_512x1024_80k_cityscapes.py │ ├── psanet_r101-d8_769x769_40k_cityscapes.py │ ├── psanet_r101-d8_769x769_80k_cityscapes.py │ ├── psanet_r50-d8_512x1024_40k_cityscapes.py │ └── psanet_r50-d8_512x1024_80k_cityscapes.py ├── pspnet │ ├── pspnet_r101-d8_512x1024_40k_dark.py │ ├── pspnet_r101-d8_512x512_80k_ade20k.py │ ├── pspnet_r101-d8_512x512_160k_ade20k.py │ ├── pspnet_r101-d8_512x512_20k_voc12aug.py │ ├── pspnet_r101-d8_512x512_40k_voc12aug.py │ ├── pspnet_r101-d8_4x4_512x512_80k_potsdam.py │ ├── pspnet_r101-d8_512x1024_40k_cityscapes.py │ ├── pspnet_r101-d8_512x1024_80k_cityscapes.py │ ├── pspnet_r101-d8_769x769_40k_cityscapes.py │ ├── pspnet_r101-d8_769x769_80k_cityscapes.py │ ├── pspnet_r50b-d8_512x1024_80k_cityscapes.py │ ├── pspnet_r50b-d8_769x769_80k_cityscapes.py │ ├── pspnet_r101-d8_4x4_512x512_80k_vaihingen.py │ ├── pspnet_r101-d8_480x480_40k_pascal_context.py │ ├── pspnet_r101-d8_480x480_80k_pascal_context.py │ ├── pspnet_r101-d8_512x1024_40k_night_driving.py │ ├── pspnet_r101-d8_480x480_40k_pascal_context_59.py │ ├── pspnet_r101-d8_480x480_80k_pascal_context_59.py │ ├── pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k.py │ ├── pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k.py │ ├── pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k.py │ ├── pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k.py │ ├── pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k.py │ ├── pspnet_r101b-d8_512x1024_80k_dark.py │ ├── pspnet_r101b-d8_512x1024_80k_cityscapes.py │ ├── pspnet_r101b-d8_769x769_80k_cityscapes.py │ ├── pspnet_r101b-d8_512x1024_80k_night_driving.py │ ├── pspnet_r50-d8_512x1024_40k_cityscapes.py │ ├── pspnet_r50-d8_512x1024_80k_cityscapes.py │ ├── pspnet_r101-d8_fp16_512x1024_80k_cityscapes.py │ ├── pspnet_r101-d8_512x512_80k_loveda.py │ ├── pspnet_r50-d32_512x1024_80k_cityscapes.py │ ├── pspnet_r50-d8_512x512_80k_loveda.py │ ├── pspnet_r50-d8_4x4_512x512_80k_potsdam.py │ ├── pspnet_r50-d8_4x4_896x896_80k_isaid.py │ ├── pspnet_r50-d8_512x512_160k_ade20k.py │ └── pspnet_r50-d8_512x512_80k_ade20k.py ├── upernet │ ├── upernet_r101_512x512_160k_ade20k.py │ ├── upernet_r101_512x512_80k_ade20k.py │ ├── upernet_r101_512x512_20k_voc12aug.py │ ├── upernet_r101_512x512_40k_voc12aug.py │ ├── upernet_r101_769x769_40k_cityscapes.py │ ├── upernet_r101_769x769_80k_cityscapes.py │ ├── upernet_r101_512x1024_40k_cityscapes.py │ ├── upernet_r101_512x1024_80k_cityscapes.py │ ├── upernet_r50_512x1024_40k_cityscapes.py │ ├── upernet_r50_512x1024_80k_cityscapes.py │ ├── upernet_r18_512x1024_40k_cityscapes.py │ ├── upernet_r18_512x1024_80k_cityscapes.py │ ├── upernet_r50_512x512_80k_ade20k.py │ └── upernet_r50_512x512_160k_ade20k.py ├── deeplabv3 │ ├── deeplabv3_r101-d8_512x512_80k_ade20k.py │ ├── deeplabv3_r101-d8_512x512_160k_ade20k.py │ ├── deeplabv3_r101-d8_512x512_20k_voc12aug.py │ ├── deeplabv3_r101-d8_512x512_40k_voc12aug.py │ ├── deeplabv3_r101-d8_512x1024_40k_cityscapes.py │ ├── deeplabv3_r101-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3_r101-d8_769x769_40k_cityscapes.py │ ├── deeplabv3_r101-d8_769x769_80k_cityscapes.py │ ├── deeplabv3_r50b-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3_r50b-d8_769x769_80k_cityscapes.py │ ├── deeplabv3_r101-d8_480x480_40k_pascal_context.py │ ├── deeplabv3_r101-d8_480x480_80k_pascal_context.py │ ├── deeplabv3_r101-d8_480x480_40k_pascal_context_59.py │ ├── deeplabv3_r101-d8_480x480_80k_pascal_context_59.py │ ├── deeplabv3_r101-d8_512x512_4x4_160k_coco-stuff164k.py │ ├── deeplabv3_r101-d8_512x512_4x4_20k_coco-stuff10k.py │ ├── deeplabv3_r101-d8_512x512_4x4_320k_coco-stuff164k.py │ ├── deeplabv3_r101-d8_512x512_4x4_40k_coco-stuff10k.py │ ├── deeplabv3_r101-d8_512x512_4x4_80k_coco-stuff164k.py │ ├── deeplabv3_r101b-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3_r101b-d8_769x769_80k_cityscapes.py │ ├── deeplabv3_r50-d8_512x1024_40k_cityscapes.py │ ├── deeplabv3_r50-d8_512x1024_80k_cityscapes.py │ └── deeplabv3_r101-d8_fp16_512x1024_80k_cityscapes.py ├── emanet │ ├── emanet_r101-d8_512x1024_80k_cityscapes.py │ ├── emanet_r101-d8_769x769_80k_cityscapes.py │ └── emanet_r50-d8_512x1024_80k_cityscapes.py ├── nonlocal_net │ ├── nonlocal_r101-d8_512x512_80k_ade20k.py │ ├── nonlocal_r101-d8_512x512_160k_ade20k.py │ ├── nonlocal_r101-d8_512x512_20k_voc12aug.py │ ├── nonlocal_r101-d8_512x512_40k_voc12aug.py │ ├── nonlocal_r101-d8_512x1024_40k_cityscapes.py │ ├── nonlocal_r101-d8_512x1024_80k_cityscapes.py │ ├── nonlocal_r101-d8_769x769_40k_cityscapes.py │ ├── nonlocal_r101-d8_769x769_80k_cityscapes.py │ ├── nonlocal_r50-d8_512x1024_40k_cityscapes.py │ └── nonlocal_r50-d8_512x1024_80k_cityscapes.py ├── point_rend │ ├── pointrend_r101_512x512_160k_ade20k.py │ ├── pointrend_r101_512x1024_80k_cityscapes.py │ └── pointrend_r50_512x1024_80k_cityscapes.py ├── deeplabv3plus │ ├── deeplabv3plus_r101-d8_512x512_160k_ade20k.py │ ├── deeplabv3plus_r101-d8_512x512_20k_voc12aug.py │ ├── deeplabv3plus_r101-d8_512x512_40k_voc12aug.py │ ├── deeplabv3plus_r101-d8_512x512_80k_ade20k.py │ ├── deeplabv3plus_r101-d8_512x512_80k_potsdam.py │ ├── deeplabv3plus_r101-d8_769x769_40k_cityscapes.py │ ├── deeplabv3plus_r101-d8_769x769_80k_cityscapes.py │ ├── deeplabv3plus_r50b-d8_769x769_80k_cityscapes.py │ ├── deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen.py │ ├── deeplabv3plus_r101-d8_512x1024_40k_cityscapes.py │ ├── deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3plus_r50b-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3plus_r101-d8_480x480_40k_pascal_context.py │ ├── deeplabv3plus_r101-d8_480x480_80k_pascal_context.py │ ├── deeplabv3plus_r101-d8_480x480_40k_pascal_context_59.py │ ├── deeplabv3plus_r101-d8_480x480_80k_pascal_context_59.py │ ├── deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py │ ├── deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py │ ├── deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py │ ├── deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes.py │ └── deeplabv3plus_r101-d8_512x512_80k_loveda.py ├── hrnet │ ├── fcn_hr18_512x1024_160k_cityscapes.py │ ├── fcn_hr18_512x1024_40k_cityscapes.py │ ├── fcn_hr18_512x1024_80k_cityscapes.py │ ├── fcn_hr18_4x4_896x896_80k_isaid.py │ ├── fcn_hr18_512x512_80k_ade20k.py │ ├── fcn_hr18_512x512_80k_loveda.py │ ├── fcn_hr18_512x512_80k_potsdam.py │ ├── fcn_hr18_512x512_160k_ade20k.py │ ├── fcn_hr18_4x4_512x512_80k_vaihingen.py │ ├── fcn_hr18_512x512_20k_voc12aug.py │ └── fcn_hr18_512x512_40k_voc12aug.py ├── bisenetv1 │ └── bisenetv1_r18-d32_in1k-pre_4x8_1024x1024_160k_cityscapes.py ├── ocrnet │ ├── ocrnet_hr18_512x1024_160k_cityscapes.py │ ├── ocrnet_hr18_512x1024_40k_cityscapes.py │ ├── ocrnet_hr18_512x1024_80k_cityscapes.py │ └── ocrnet_r101-d8_512x1024_40k_b8_cityscapes.py ├── fastfcn │ ├── fastfcn_r50-d32_jpu_aspp_4x4_512x1024_80k_cityscapes.py │ ├── fastfcn_r50-d32_jpu_enc_4x4_512x1024_80k_cityscapes.py │ └── fastfcn_r50-d32_jpu_psp_512x1024_80k_cityscapes.py ├── vit │ ├── upernet_deit-b16_mln_512x512_160k_ade20k.py │ ├── upernet_deit-b16_512x512_160k_ade20k.py │ ├── upernet_deit-b16_512x512_80k_ade20k.py │ └── upernet_deit-b16_ln_mln_512x512_160k_ade20k.py ├── bisenetv2 │ └── bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py ├── erfnet │ └── erfnet_fcn_4x4_512x1024_160k_cityscapes.py └── unet │ ├── pspnet_unet_s5-d16_256x256_40k_hrf.py │ └── deeplabv3_unet_s5-d16_64x64_40k_drive.py └── docker └── serve ├── config.properties └── entrypoint.sh /tools/mydataloader.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mmseg/.mim/tools/mydataloader.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mmseg/models/decode_heads/segnext_unet.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /requirements/optional.txt: -------------------------------------------------------------------------------- 1 | cityscapesscripts 2 | -------------------------------------------------------------------------------- /tests/data/pseudo_dataset/splits/val.txt: -------------------------------------------------------------------------------- 1 | 00004 2 | -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/img_dir/P0000_0_896_1024_1920.png: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/img_dir/P0000_0_896_1536_2432.png: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /requirements/mminstall.txt: -------------------------------------------------------------------------------- 1 | mmcls>=0.20.1 2 | mmcv-full>=1.4.4,<1.7.0 3 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/splits/val.txt: -------------------------------------------------------------------------------- 1 | P0000_0_896_1024_1920 2 | -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/splits/train.txt: -------------------------------------------------------------------------------- 1 | P0000_0_896_1536_2432 2 | -------------------------------------------------------------------------------- /requirements/readthedocs.txt: -------------------------------------------------------------------------------- 1 | mmcv 2 | prettytable 3 | torch 4 | torchvision 5 | -------------------------------------------------------------------------------- /tests/data/pseudo_dataset/splits/train.txt: -------------------------------------------------------------------------------- 1 | 00000 2 | 00001 3 | 00002 4 | 00003 5 | -------------------------------------------------------------------------------- /tests/test_models/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /image/img.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/image/img.png -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/ann_dir/P0000_0_896_1024_1920_instance_color_RGB.png: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /tests/data/pseudo_isaid_dataset/ann_dir/P0000_0_896_1536_2432_instance_color_RGB.png: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /image/NALoss.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/image/NALoss.png -------------------------------------------------------------------------------- /image/model.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/image/model.png -------------------------------------------------------------------------------- /tests/test_models/test_heads/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /tests/test_models/test_losses/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /tests/test_models/test_necks/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /tests/test_models/test_utils/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /image/compare.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/image/compare.png -------------------------------------------------------------------------------- /requirements/runtime.txt: -------------------------------------------------------------------------------- 1 | matplotlib 2 | mmcls>=0.20.1 3 | numpy 4 | packaging 5 | prettytable 6 | -------------------------------------------------------------------------------- /tests/data/seg.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/seg.png -------------------------------------------------------------------------------- /tests/test_models/test_segmentors/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | -------------------------------------------------------------------------------- /requirements/tests.txt: -------------------------------------------------------------------------------- 1 | codecov 2 | flake8 3 | interrogate 4 | pytest 5 | xdoctest>=0.10.0 6 | yapf 7 | -------------------------------------------------------------------------------- /tests/data/color.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/color.jpg -------------------------------------------------------------------------------- /tests/data/gray.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/gray.jpg -------------------------------------------------------------------------------- /requirements.txt: 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All rights reserved. 2 | from .wandblogger_hook import MMSegWandbHook 3 | 4 | __all__ = ['MMSegWandbHook'] 5 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r101-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict(backbone=dict(backbone_cfg=dict(depth=101))) 3 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r101-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict(backbone=dict(backbone_cfg=dict(depth=101))) 3 | -------------------------------------------------------------------------------- /configs/setr/setr_mla_512x512_160k_b16_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = ['./setr_mla_512x512_160k_b8_ade20k.py'] 2 | 3 | # num_gpus: 8 -> batch_size: 16 4 | data = dict(samples_per_gpu=2) 5 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/sem_fpn/fpn_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fpn_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r101-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict(backbone=dict(backbone_cfg=dict(depth=101))) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/stdc/stdc2_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './stdc1_512x1024_80k_cityscapes.py' 2 | model = dict(backbone=dict(backbone_cfg=dict(stdc_type='STDCNet2'))) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x1024_40k_dark.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_dark.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/sem_fpn/fpn_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fpn_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /docs/en/switch_language.md: -------------------------------------------------------------------------------- 1 | ## English 2 | 3 | ## 简体中文 4 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r101-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict(backbone=dict(backbone_cfg=dict(depth=101))) 3 | -------------------------------------------------------------------------------- /mmseg/datasets/samplers/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .distributed_sampler import DistributedSampler 3 | 4 | __all__ = ['DistributedSampler'] 5 | -------------------------------------------------------------------------------- /tests/data/pseudo_potsdam_dataset/ann_dir/2_10_0_0_512_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_potsdam_dataset/ann_dir/2_10_0_0_512_512.png -------------------------------------------------------------------------------- /tests/data/pseudo_potsdam_dataset/img_dir/2_10_0_0_512_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_potsdam_dataset/img_dir/2_10_0_0_512_512.png -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /docs/zh_cn/switch_language.md: -------------------------------------------------------------------------------- 1 | ## English 2 | 3 | ## 简体中文 4 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/sem_fpn/fpn_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './fpn_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/setr/setr_mla_512x512_160k_b16_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = ['./setr_mla_512x512_160k_b8_ade20k.py'] 2 | 3 | # num_gpus: 8 -> batch_size: 16 4 | data = dict(samples_per_gpu=2) 5 | -------------------------------------------------------------------------------- /tests/data/pseudo_vaihingen_dataset/ann_dir/area1_0_0_512_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_vaihingen_dataset/ann_dir/area1_0_0_512_512.png -------------------------------------------------------------------------------- /tests/data/pseudo_vaihingen_dataset/img_dir/area1_0_0_512_512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_vaihingen_dataset/img_dir/area1_0_0_512_512.png -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/danet/danet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/emanet/emanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './emanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/emanet/emanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './emanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101-d16_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101-d16_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r50b-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r50b-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/point_rend/pointrend_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pointrend_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_4x4_512x512_80k_potsdam.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x1024_40k_dark.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_dark.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/sem_fpn/fpn_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fpn_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/point_rend/pointrend_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pointrend_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_4x4_512x512_80k_vaihingen.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ann_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dnl_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r18-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict( 3 | backbone=dict(layer_channels=(128, 512), backbone_cfg=dict(depth=18))) 4 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r18-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict( 3 | backbone=dict(layer_channels=(128, 512), backbone_cfg=dict(depth=18))) 4 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x1024_40k_night_driving.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_night_driving.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /docs/en/_static/css/readthedocs.css: -------------------------------------------------------------------------------- 1 | .header-logo { 2 | background-image: url("../images/mmsegmentation.png"); 3 | background-size: 201px 40px; 4 | height: 40px; 5 | width: 201px; 6 | } 7 | -------------------------------------------------------------------------------- /docs/zh_cn/_static/css/readthedocs.css: -------------------------------------------------------------------------------- 1 | .header-logo { 2 | background-image: url("../images/mmsegmentation.png"); 3 | background-size: 201px 40px; 4 | height: 40px; 5 | width: 201px; 6 | } 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './ccnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './danet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './dmnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/emanet/emanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './emanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101-d16_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101-d16_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r50b-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r50b-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50-d16_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './gcnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/point_rend/pointrend_r101_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pointrend_r50_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r101_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/ops/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .encoding import Encoding 3 | from .wrappers import Upsample, resize 4 | 5 | __all__ = ['Upsample', 'resize', 'Encoding'] 6 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_potsdam.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './apcnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/emanet/emanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './emanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './encnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './isanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/point_rend/pointrend_r101_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pointrend_r50_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './psanet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_4x4_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_4x4_512x512_80k_potsdam.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_4x4_512x512_80k_vaihingen.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101b-d8_512x1024_80k_dark.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_dark.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r18-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict( 3 | backbone=dict(layer_channels=(128, 512), backbone_cfg=dict(depth=18))) 4 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r18-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict( 3 | backbone=dict(layer_channels=(128, 512), backbone_cfg=dict(depth=18))) 4 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x1024_40k_night_driving.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_40k_night_driving.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /requirements/docs.txt: -------------------------------------------------------------------------------- 1 | docutils==0.16.0 2 | myst-parser 3 | -e git+https://github.com/gaotongxiao/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme 4 | sphinx==4.0.2 5 | sphinx_copybutton 6 | sphinx_markdown_tables 7 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_160k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_160k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_20k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_20k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_320k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_320k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_40k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_40k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_80k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_80k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /docker/serve/config.properties: -------------------------------------------------------------------------------- 1 | inference_address=http://0.0.0.0:8080 2 | management_address=http://0.0.0.0:8081 3 | metrics_address=http://0.0.0.0:8082 4 | model_store=/home/model-server/model-store 5 | load_models=all 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_160k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_ade20k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_potsdam.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './nonlocal_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_4x4_20k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_20k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_4x4_40k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_40k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_4x4_80k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_80k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101b-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50b-d16_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/fcn/fcn_d6_r101b-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50b-d16_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/sem_fpn/fpn_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fpn_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_20k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_40k_voc12aug.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_4x4_160k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_160k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_4x4_320k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_4x4_320k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101b-d8_512x1024_80k_dark.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_dark.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/bisenetv1/bisenetv1_r18-d32_in1k-pre_4x8_1024x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './bisenetv1_r18-d32_in1k-pre_4x4_1024x1024_160k_cityscapes.py' 2 | data = dict( 3 | samples_per_gpu=8, 4 | workers_per_gpu=4, 5 | ) 6 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/danet/danet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/danet/danet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r50_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /docs/en/tutorials/index.rst: -------------------------------------------------------------------------------- 1 | .. toctree:: 2 | :maxdepth: 2 3 | 4 | config.md 5 | customize_datasets.md 6 | data_pipeline.md 7 | customize_models.md 8 | training_tricks.md 9 | customize_runtime.md 10 | -------------------------------------------------------------------------------- /docs/zh_cn/tutorials/index.rst: -------------------------------------------------------------------------------- 1 | .. toctree:: 2 | :maxdepth: 2 3 | 4 | config.md 5 | customize_datasets.md 6 | data_pipeline.md 7 | customize_models.md 8 | training_tricks.md 9 | customize_runtime.md 10 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_20k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_20k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_40k_coco-stuff10k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_40k_coco-stuff10k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_80k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_80k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict(pretrained='torchvision://resnet50', backbone=dict(type='ResNet')) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/emanet/emanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/emanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/fastfcn/fastfcn_r50-d32_jpu_aspp_4x4_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | # model settings 2 | _base_ = './fastfcn_r50-d32_jpu_aspp_512x1024_80k_cityscapes.py' 3 | data = dict( 4 | samples_per_gpu=4, 5 | workers_per_gpu=4, 6 | ) 7 | -------------------------------------------------------------------------------- /configs/fastfcn/fastfcn_r50-d32_jpu_enc_4x4_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | # model settings 2 | _base_ = './fastfcn_r50-d32_jpu_enc_512x1024_80k_cityscapes.py' 3 | data = dict( 4 | samples_per_gpu=4, 5 | workers_per_gpu=4, 6 | ) 7 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/psanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/psanet/psanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/psanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101b-d8_512x1024_80k_night_driving.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_night_driving.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_160k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_160k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_512x512_4x4_320k_coco-stuff164k.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x512_4x4_320k_coco-stuff164k.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_40k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_80k_pascal_context.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101b-d16_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50b-d16_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/sem_fpn/fpn_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fpn_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_labelIds.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_labelIds.png -------------------------------------------------------------------------------- /tests/data/pseudo_cityscapes_dataset/leftImg8bit/frankfurt_000000_000294_leftImg8bit.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_cityscapes_dataset/leftImg8bit/frankfurt_000000_000294_leftImg8bit.png -------------------------------------------------------------------------------- /configs/fcn/fcn_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/bisenetv1/bisenetv1_r18-d32_in1k-pre_4x8_1024x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './bisenetv1_r18-d32_in1k-pre_4x4_1024x1024_160k_cityscapes.py' 2 | data = dict( 3 | samples_per_gpu=8, 4 | workers_per_gpu=4, 5 | ) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ccnet/ccnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/danet/danet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_40k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_480x480_80k_pascal_context_59.py' 2 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 3 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dmnet/dmnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/dnlnet/dnl_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_d6_r101b-d16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_d6_r50b-d16_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/gcnet/gcnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r50_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/upernet/upernet_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_instanceIds.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_instanceIds.png -------------------------------------------------------------------------------- /tests/test_models/test_backbones/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .utils import all_zeros, check_norm_state, is_block, is_norm 3 | 4 | __all__ = ['is_norm', 'is_block', 'all_zeros', 'check_norm_state'] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r50-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/icnet_r50-d8.py', 3 | '../_base_/datasets/cityscapes_832x832.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/nonlocal_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/nonlocal_net/nonlocal_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/nonlocal_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/apcnet/apcnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/emanet/emanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/emanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/encnet/encnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fastfcn/fastfcn_r50-d32_jpu_enc_4x4_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | # model settings 2 | _base_ = './fastfcn_r50-d32_jpu_enc_512x1024_80k_cityscapes.py' 3 | data = dict( 4 | samples_per_gpu=4, 5 | workers_per_gpu=4, 6 | ) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/isanet/isanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/psanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/psanet/psanet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/psanet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101b-d8_512x1024_80k_night_driving.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x1024_80k_night_driving.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/core/utils/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .dist_util import check_dist_init, sync_random_seed 3 | from .misc import add_prefix 4 | 5 | __all__ = ['add_prefix', 'check_dist_init', 'sync_random_seed'] 6 | -------------------------------------------------------------------------------- /tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_labelTrainIds.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xqh180110910537/HACDR-Net/HEAD/tests/data/pseudo_cityscapes_dataset/gtFine/frankfurt_000000_000294_gtFine_labelTrainIds.png -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r50-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/icnet_r50-d8.py', 3 | '../_base_/datasets/cityscapes_832x832.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_160k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /configs/vit/upernet_deit-b16_mln_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | ) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fastfcn/fastfcn_r50-d32_jpu_aspp_4x4_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | # model settings 2 | _base_ = './fastfcn_r50-d32_jpu_aspp_512x1024_80k_cityscapes.py' 3 | data = dict( 4 | samples_per_gpu=4, 5 | workers_per_gpu=4, 6 | ) 7 | -------------------------------------------------------------------------------- /mmseg/core/seg/sampler/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .base_pixel_sampler import BasePixelSampler 3 | from .ohem_pixel_sampler import OHEMPixelSampler 4 | 5 | __all__ = ['BasePixelSampler', 'OHEMPixelSampler'] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcn_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r50-d8_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/icnet_r50-d8.py', 3 | '../_base_/datasets/cityscapes_832x832.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/nonlocal_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/nonlocal_net/nonlocal_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/nonlocal_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/deeplabv3/deeplabv3_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /configs/vit/upernet_deit-b16_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | neck=None) 7 | -------------------------------------------------------------------------------- /configs/vit/upernet_deit-b16_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_80k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | neck=None) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='torchvision://resnet101', 4 | backbone=dict(type='ResNet', depth=101)) 5 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r50-d8_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/icnet_r50-d8.py', 3 | '../_base_/datasets/cityscapes_832x832.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_160k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './bisenetv2_fcn_4x4_1024x1024_160k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3plus_r50-d8.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_40k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3plus_r50-d8.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fastfcn_r50-d32_jpu_psp.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_4x4_896x896_80k_isaid.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/isaid.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=16)) 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/loveda.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=7)) 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/potsdam.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=6)) 6 | -------------------------------------------------------------------------------- /configs/vit/upernet_deit-b16_ln_mln_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1, final_norm=True)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/vit/upernet_deit-b16_mln_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | ) 7 | -------------------------------------------------------------------------------- /mmseg/core/seg/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .builder import build_pixel_sampler 3 | from .sampler import BasePixelSampler, OHEMPixelSampler 4 | 5 | __all__ = ['build_pixel_sampler', 'BasePixelSampler', 'OHEMPixelSampler'] 6 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r101-d8_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_80k_loveda.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet101_v1c'))) 7 | -------------------------------------------------------------------------------- /configs/sem_fpn/fpn_r50_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fpn_r50.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3/deeplabv3_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/vit/upernet_deit-b16_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | neck=None) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/vit/upernet_deit-b16_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_80k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1), 6 | neck=None) 7 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/vaihingen.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=6)) 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=21)) 6 | -------------------------------------------------------------------------------- /configs/hrnet/fcn_hr18_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=21)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './bisenetv2_fcn_4x4_1024x1024_160k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3plus_r50-d8.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_40k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3plus_r50-d8.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fastfcn_r50-d32_jpu_psp.py', 3 | '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', 4 | '../_base_/schedules/schedule_80k.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/loveda.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=7)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/potsdam.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=6)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/vit/upernet_deit-b16_ln_mln_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_vit-b16_mln_512x512_160k_ade20k.py' 2 | 3 | model = dict( 4 | pretrained='pretrain/deit_base_patch16_224-b5f2ef4d.pth', 5 | backbone=dict(drop_path_rate=0.1, final_norm=True)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_4x4_896x896_80k_isaid.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/isaid.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=16)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/sem_fpn/fpn_r50_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fpn_r50.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=150)) 6 | -------------------------------------------------------------------------------- /docker/serve/entrypoint.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | set -e 3 | 4 | if [[ "$1" = "serve" ]]; then 5 | shift 1 6 | torchserve --start --ts-config /home/model-server/config.properties 7 | else 8 | eval "$@" 9 | fi 10 | 11 | # prevent docker exit 12 | tail -f /dev/null 13 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py' 2 | # fp16 settings 3 | optimizer_config = dict(type='Fp16OptimizerHook', loss_scale=512.) 4 | # fp16 placeholder 5 | fp16 = dict() 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_4x4_512x512_80k_vaihingen.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/vaihingen.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=6)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r101-d8_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = './pspnet_r50-d8_512x512_80k_loveda.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet101_v1c'))) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=21)) 6 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/hrnet/fcn_hr18_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_hr18.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(decode_head=dict(num_classes=21)) 6 | -------------------------------------------------------------------------------- /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_loveda.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet101_v1c'))) 7 | -------------------------------------------------------------------------------- /configs/point_rend/pointrend_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pointrend_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | lr_config = dict(warmup='linear', warmup_iters=200) 6 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r50-d8_in1k-pre_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict( 3 | backbone=dict( 4 | backbone_cfg=dict( 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet50_v1c')))) 7 | -------------------------------------------------------------------------------- /configs/icnet/icnet_r50-d8_in1k-pre_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict( 3 | backbone=dict( 4 | backbone_cfg=dict( 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet50_v1c')))) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = './deeplabv3plus_r50-d8_512x512_80k_loveda.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet101_v1c'))) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/point_rend/pointrend_r50_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pointrend_r50.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | lr_config = dict(warmup='linear', warmup_iters=200) 6 | -------------------------------------------------------------------------------- /configs/erfnet/erfnet_fcn_4x4_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/erfnet_fcn.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | data = dict( 6 | samples_per_gpu=4, 7 | workers_per_gpu=4, 8 | ) 9 | -------------------------------------------------------------------------------- /configs/unet/pspnet_unet_s5-d16_256x256_40k_hrf.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_unet_s5-d16.py', '../_base_/datasets/hrf.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(test_cfg=dict(mode='whole')) 6 | evaluation = dict(metric='mDice') 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r50-d8_in1k-pre_832x832_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_80k_cityscapes.py' 2 | model = dict( 3 | backbone=dict( 4 | backbone_cfg=dict( 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet50_v1c')))) 7 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(backbone=dict(dilations=(1, 1, 2, 4), strides=(1, 2, 2, 2))) 6 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r18_512x1024_40k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_40k_cityscapes.py' 2 | model = dict( 3 | pretrained='open-mmlab://resnet18_v1c', 4 | backbone=dict(depth=18), 5 | decode_head=dict(in_channels=[64, 128, 256, 512]), 6 | auxiliary_head=dict(in_channels=256)) 7 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r18_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './upernet_r50_512x1024_80k_cityscapes.py' 2 | model = dict( 3 | pretrained='open-mmlab://resnet18_v1c', 4 | backbone=dict(depth=18), 5 | decode_head=dict(in_channels=[64, 128, 256, 512]), 6 | auxiliary_head=dict(in_channels=256)) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/icnet/icnet_r50-d8_in1k-pre_832x832_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = './icnet_r50-d8_832x832_160k_cityscapes.py' 2 | model = dict( 3 | backbone=dict( 4 | backbone_cfg=dict( 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://resnet50_v1c')))) 7 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/danet/danet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/dnlnet/dnl_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dnl_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/ocrnet/ocrnet_r101-d8_512x1024_40k_b8_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ocrnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) 6 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_512x512_80k_loveda.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/loveda.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=7), auxiliary_head=dict(num_classes=7)) 7 | -------------------------------------------------------------------------------- /configs/unet/deeplabv3_unet_s5-d16_64x64_40k_drive.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/deeplabv3_unet_s5-d16.py', '../_base_/datasets/drive.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(test_cfg=dict(mode='whole')) 6 | evaluation = dict(metric='mDice') 7 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r50_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/erfnet/erfnet_fcn_4x4_512x1024_160k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/erfnet_fcn.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | data = dict( 6 | samples_per_gpu=4, 7 | workers_per_gpu=4, 8 | ) 9 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/unet/pspnet_unet_s5-d16_256x256_40k_hrf.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_unet_s5-d16.py', '../_base_/datasets/hrf.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict(test_cfg=dict(mode='whole')) 6 | evaluation = dict(metric='mDice') 7 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21)) 7 | -------------------------------------------------------------------------------- /configs/ann/ann_r50-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21)) 7 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/apcnet/apcnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/apcnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/ccnet/ccnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ccnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/danet/danet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/danet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/dmnet/dmnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/dmnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/encnet/encnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/encnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x512_20k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21)) 7 | -------------------------------------------------------------------------------- /configs/fcn/fcn_r50-d8_512x512_40k_voc12aug.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21)) 7 | -------------------------------------------------------------------------------- /configs/gcnet/gcnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/gcnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/isanet/isanet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/isanet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_4x4_512x512_80k_potsdam.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/potsdam.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=6), auxiliary_head=dict(num_classes=6)) 7 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_4x4_896x896_80k_isaid.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/isaid.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=16), auxiliary_head=dict(num_classes=16)) 7 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/pspnet/pspnet_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /configs/upernet/upernet_r50_512x512_160k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/upernet_r50.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/ann/ann_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/ann_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/fcn/fcn_r50-d8_512x512_80k_ade20k.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/fcn_r50-d8.py', '../_base_/datasets/ade20k.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict( 6 | decode_head=dict(num_classes=150), auxiliary_head=dict(num_classes=150)) 7 | -------------------------------------------------------------------------------- /mmseg/.mim/configs/pspnet/pspnet_r50-d32_512x1024_80k_cityscapes.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', 3 | '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' 4 | ] 5 | model = dict(backbone=dict(dilations=(1, 1, 2, 4), strides=(1, 2, 2, 2))) 6 | --------------------------------------------------------------------------------