├── .gitattributes ├── .gitignore ├── README.md ├── batch_process ├── predict_Limuceng_batch.py ├── predict_cloud_STCI.py ├── predict_cloud_removal.py ├── predict_series_with_mask.py ├── test_batch.py ├── train_Limuceng_batch.py └── train_STCI_batch.py ├── data.py ├── framework.py ├── github_readme_img ├── 1-0-0.png ├── 1-0-1.png ├── 1-0-2.gif ├── 1-1-0.png ├── 1-1-1.png ├── 1-1-2.gif ├── 2-0-0.png ├── 2-1-0.png ├── 2-1-1.png ├── 2-1-2.gif ├── 3-0-1.png ├── 3-1-0.png ├── 3-1-1.png └── 3-1-2.gif ├── logs └── Ref.txt ├── loss.py ├── networks ├── ConvNeXt.py ├── DABNet.py ├── DE_Segformer.py ├── DLinknet.py ├── DUNet.py ├── DUNet_Plus.py ├── Deeplab_v3_plus.py ├── FCN.py ├── FCN8S.py ├── GeoAwareUNet.py ├── HRNet.py ├── MAE_Seg.py ├── MAE_decoder_ExNaive.py ├── MAE_decoder_FPN.py ├── MAE_decoder_Naive.py ├── MAE_encoder.py ├── MAE_pos_embed.py ├── RS_Segformer.py ├── SegNet.py ├── Segformer.py ├── UNet.py ├── UNetFormer.py ├── UNet_DA.py ├── UNet_E.py ├── UNet_Geo.py ├── UNet_Light.py ├── U_ConvNeXt.py ├── U_ConvNeXt_HWD.py ├── U_ConvNeXt_HWD_DS.py ├── U_MobileNet.py ├── ViT.py ├── backup │ ├── MAE_Seg_TF.py │ └── UNetPlusPlus.py └── pytorch_wavelets │ ├── __init__.py │ ├── _version.py │ ├── dtcwt │ ├── __init__.py │ ├── coeffs.py │ ├── lowlevel.py │ ├── lowlevel2.py │ ├── transform2d.py │ └── transform_funcs.py │ ├── dwt │ ├── __init__.py │ ├── lowlevel.py │ ├── swt_inverse.py │ ├── transform1d.py │ └── transform2d.py │ ├── scatternet │ ├── __init__.py │ ├── layers.py │ └── lowlevel.py │ └── utils.py ├── predict.py ├── project_params └── project_params.py ├── requirements.txt ├── test.py ├── tools ├── add_coord.ipynb ├── batch_raster_to_shp.py ├── binary_image_multiprocessers.py ├── calculate_NDVI.py ├── calculate_entropy.py ├── calculate_high_freq_energy.py ├── calculate_max_NDVI.py ├── clip_big_img_by_slid_polygon.py ├── clip_gif_by_edge_percent.py ├── clip_img_by_general_grid.py ├── clip_img_by_general_grid_with_mask.py ├── clip_img_by_general_grid_with_mask_batch.py ├── clip_img_by_pic_coord.py ├── clip_img_by_polygon.ipynb ├── clip_img_by_shift_windows.py ├── clip_img_by_small_tif.ipynb ├── clip_img_label_pair_by_shift_windows.py ├── color_shp.py ├── convert_img_tif_to_png.py ├── convert_safetensors_to_pth.py ├── convert_vedio.py ├── copy_file.py ├── copy_files.py ├── cover_pixel_by_ref_img.py ├── delete_empty_samples.py ├── delete_gridcode_zero.py ├── delete_the_forth_channel.py ├── downsample.py ├── downsample_async.py ├── downscaling.py ├── evaluation.py ├── evaluation_for_multiclasses.ipynb ├── evaluation_for_multiclasses_small_pairs.ipynb ├── evaluation_for_multiclasses_small_pairs_batch.ipynb ├── expand_img.py ├── extract_channels.py ├── extract_channels_multiprocessers.py ├── generate_mask_by_moasic_line.py ├── generate_mask_by_moasic_line_batch.py ├── generate_mask_by_polygon.py ├── generate_small_trainlist.py ├── geojson2shp.ipynb ├── gray2cmap.ipynb ├── img_Lossless Compression.py ├── 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