├── General-Bench-Closeset └── .gitkeep ├── General-Bench-Openset └── .gitkeep ├── README.md ├── README_EN.md ├── README_ZH.md ├── outcome ├── Qwen2.5-7B-Instruct_result.xlsx └── test_result.xlsx ├── predictors ├── audio_predict_comprehension.py ├── audio_predict_generation.py ├── nlp_predictor.py ├── video_comprehension_flow_matching_tracking.py ├── video_comprehension_qa_caption.py ├── video_comprehension_tasks.py ├── video_generation_evaluate_kit.py └── video_translation_restoration_superresolution_objectdetection.py ├── processors ├── ._audio_processor.py ├── ._image_processor.py ├── __init__.py ├── __pycache__ │ ├── .___init__.cpython-38.pyc │ ├── .___init__.cpython-39.pyc │ ├── ._video_processor.cpython-39.pyc │ ├── __init__.cpython-311.pyc │ ├── __init__.cpython-312.pyc │ ├── __init__.cpython-38.pyc │ ├── __init__.cpython-39.pyc │ ├── audio_processor.cpython-311.pyc │ ├── audio_processor.cpython-312.pyc │ ├── audio_processor.cpython-38.pyc │ ├── audio_processor.cpython-39.pyc │ ├── image_processor.cpython-311.pyc │ ├── image_processor.cpython-312.pyc │ ├── image_processor.cpython-38.pyc │ ├── image_processor.cpython-39.pyc │ ├── nlp_processor.cpython-311.pyc │ ├── nlp_processor.cpython-312.pyc │ ├── nlp_processor.cpython-38.pyc │ ├── nlp_processor.cpython-39.pyc │ ├── pseudo_audio_processor.cpython-39.pyc │ ├── three_d_processor.cpython-311.pyc │ ├── three_d_processor.cpython-312.pyc │ ├── three_d_processor.cpython-38.pyc │ ├── three_d_processor.cpython-39.pyc │ ├── video_processor.cpython-311.pyc │ ├── video_processor.cpython-312.pyc │ ├── video_processor.cpython-38.pyc │ └── video_processor.cpython-39.pyc ├── audio_processor.py ├── image_processor.py ├── nlp_processor.py ├── three_d_processor.py └── video_processor.py ├── ranker.py ├── references ├── sota_result.xlsx └── template_result.xlsx ├── register.py ├── run.sh ├── utils ├── ._special_metrix.py ├── __pycache__ │ ├── ._special_metrix.cpython-39.pyc │ ├── base_processor.cpython-311.pyc │ ├── base_processor.cpython-312.pyc │ ├── base_processor.cpython-38.pyc │ ├── base_processor.cpython-39.pyc │ ├── data_types.cpython-311.pyc │ ├── data_types.cpython-312.pyc │ ├── data_types.cpython-38.pyc │ ├── data_types.cpython-39.pyc │ ├── special_metrix.cpython-310.pyc │ ├── special_metrix.cpython-311.pyc │ ├── special_metrix.cpython-312.pyc │ ├── special_metrix.cpython-38.pyc │ └── special_metrix.cpython-39.pyc ├── base_processor.py ├── data_types.py └── special_metrix.py └── video_generation_evaluation ├── .gitignore ├── README.md ├── competitions ├── README.md ├── __init__.py ├── clip_score.py ├── competition_utils.py ├── configs │ ├── background_mapping_table.yaml │ ├── clip_length_0.5.yaml │ ├── clip_length_1.0.yaml │ ├── clip_length_mix.yaml │ ├── clip_length_short.yaml │ ├── slow_fast_params.yaml │ └── subject_mapping_table.yaml ├── long_prompt_list.txt ├── requirements.txt ├── run_eval.py ├── short_prompt_list.txt └── story_list.json ├── evaluate.py ├── full_info_i2v.json ├── full_info_t2v.json ├── pretrained ├── README.md ├── aesthetic_model │ └── model_path.txt ├── amt_model │ ├── AMT-S.yaml │ └── download.sh ├── caption_model │ └── model_path.txt ├── clip_model │ └── model_path.txt ├── grit_model │ └── model_path.txt ├── pyiqa_model │ └── model_path.txt ├── raft_model │ └── download.sh ├── umt_model │ ├── kinetics_400_categroies.txt │ └── model_path.txt └── viclip_model │ └── model_path.txt ├── requirements.txt └── toolkit ├── __init__.py ├── aesthetic_quality.py ├── appearance_style.py ├── background_consistency.py ├── cli ├── __init__.py ├── evaluate.py ├── static_filter.py └── vbench.py ├── color.py ├── distributed.py ├── dynamic_degree.py ├── fvd.py ├── human_action.py ├── imaging_quality.py ├── launch ├── __init__.py └── evaluate.py ├── motion_smoothness.py ├── multiple_objects.py ├── object_class.py ├── overall_consistency.py ├── scene.py ├── spatial_relationship.py ├── subject_consistency.py ├── temporal_flickering.py ├── temporal_style.py ├── third_party ├── RAFT │ ├── LICENSE │ ├── RAFT.png │ ├── README.md │ ├── __init__.py │ ├── alt_cuda_corr │ │ ├── correlation.cpp │ │ ├── correlation_kernel.cu │ │ └── setup.py │ ├── chairs_split.txt │ ├── core │ │ ├── __init__.py │ │ ├── corr.py │ │ ├── datasets.py │ │ ├── extractor.py │ │ ├── raft.py │ │ ├── update.py │ │ └── utils_core │ │ │ ├── __init__.py │ │ │ ├── augmentor.py │ │ │ ├── flow_viz.py │ │ │ ├── frame_utils.py │ │ │ └── utils.py │ └── download_models.sh ├── ViCLIP │ ├── __init__.py │ ├── simple_tokenizer.py │ ├── viclip.py │ ├── viclip_text.py │ └── viclip_vision.py ├── __init__.py ├── amt │ ├── LICENSE │ ├── README.md │ ├── __init__.py │ ├── benchmarks │ │ ├── __init__.py │ │ ├── adobe240.py │ │ ├── gopro.py │ │ ├── snu_film.py │ │ ├── speed_parameters.py │ │ ├── ucf101.py │ │ ├── vimeo90k.py │ │ ├── vimeo90k_tta.py │ │ └── xiph.py │ ├── cfgs │ │ ├── AMT-G.yaml │ │ ├── AMT-L.yaml │ │ ├── AMT-S.yaml │ │ ├── AMT-S_gopro.yaml │ │ └── IFRNet.yaml │ ├── datasets │ │ ├── __init__.py │ │ ├── adobe_datasets.py │ │ ├── gopro_datasets.py │ │ └── vimeo_datasets.py │ ├── docs │ │ ├── develop.md │ │ └── method.md │ ├── environment.yaml │ ├── flow_generation │ │ ├── __init__.py │ │ ├── gen_flow.py │ │ └── liteflownet │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── correlation │ │ │ ├── README.md │ │ │ └── correlation.py │ │ │ └── run.py │ ├── losses │ │ ├── __init__.py │ │ └── loss.py │ ├── metrics │ │ ├── __init__.py │ │ └── psnr_ssim.py │ ├── networks │ │ ├── AMT-G.py │ │ ├── AMT-L.py │ │ ├── AMT-S.py │ │ ├── IFRNet.py │ │ ├── __init__.py │ │ └── blocks │ │ │ ├── __init__.py │ │ │ ├── feat_enc.py │ │ │ ├── ifrnet.py │ │ │ ├── multi_flow.py │ │ │ └── raft.py │ ├── scripts │ │ ├── benchmark_arbitrary.sh │ │ ├── benchmark_fixed.sh │ │ └── train.sh │ ├── train.py │ ├── trainers │ │ ├── __init__.py │ │ ├── base_trainer.py │ │ └── logger.py │ └── utils │ │ ├── __init__.py │ │ ├── build_utils.py │ │ ├── dist_utils.py │ │ ├── flow_utils.py │ │ └── utils.py ├── grit_model.py ├── grit_src │ ├── __init__.py │ ├── centernet2 │ │ ├── .gitignore │ │ ├── __init__.py │ │ ├── centernet │ │ │ ├── __init__.py │ │ │ ├── config.py │ │ │ └── modeling │ │ │ │ ├── __init__.py │ │ │ │ ├── backbone │ │ │ │ ├── __init__.py │ │ │ │ ├── bifpn.py │ │ │ │ ├── bifpn_fcos.py │ │ │ │ ├── dla.py │ │ │ │ ├── dlafpn.py │ │ │ │ ├── fpn_p5.py │ │ │ │ └── res2net.py │ │ │ │ ├── debug.py │ │ │ │ ├── dense_heads │ │ │ │ ├── __init__.py │ │ │ │ ├── centernet.py │ │ │ │ ├── centernet_head.py │ │ │ │ └── utils.py │ │ │ │ ├── layers │ │ │ │ ├── __init__.py │ │ │ │ ├── deform_conv.py │ │ │ │ ├── heatmap_focal_loss.py │ │ │ │ ├── iou_loss.py │ │ │ │ └── ml_nms.py │ │ │ │ ├── meta_arch │ │ │ │ ├── __init__.py │ │ │ │ └── centernet_detector.py │ │ │ │ └── roi_heads │ │ │ │ ├── __init__.py │ │ │ │ ├── custom_fast_rcnn.py │ │ │ │ ├── custom_roi_heads.py │ │ │ │ └── fed_loss.py │ │ ├── centernet2_docs │ │ │ └── MODEL_ZOO.md │ │ ├── configs │ │ │ ├── Base-CenterNet-FPN.yaml │ │ │ ├── Base-CenterNet2.yaml │ │ │ ├── Base_S4_DLA.yaml │ │ │ ├── CenterNet-FPN_R50_1x.yaml │ │ │ ├── CenterNet-S4_DLA_8x.yaml │ │ │ ├── CenterNet2-F_R50_1x.yaml │ │ │ ├── CenterNet2_DLA-BiFPN-P3_24x.yaml │ │ │ ├── CenterNet2_DLA-BiFPN-P3_4x.yaml │ │ │ ├── CenterNet2_DLA-BiFPN-P5_640_16x.yaml │ │ │ ├── CenterNet2_DLA-BiFPN-P5_640_16x_ST.yaml │ │ │ ├── CenterNet2_DLA-fcosBiFPN-P5_640_16x_ST.yaml │ │ │ ├── CenterNet2_R2-101-DCN-BiFPN_1280_4x.yaml │ │ │ ├── CenterNet2_R2-101-DCN-BiFPN_4x+4x_1560_ST.yaml │ │ │ ├── CenterNet2_R2-101-DCN_896_4x.yaml │ │ │ ├── CenterNet2_R50_1x.yaml │ │ │ ├── CenterNet2_X101-DCN_2x.yaml │ │ │ ├── LVIS_CenterNet2_R50_1x.yaml │ │ │ ├── LVIS_CenterNet2_R50_Fed_1x.yaml │ │ │ ├── O365_CenterNet2_R50_1x.yaml │ │ │ └── nuImages_CenterNet2_DLA_640_8x.yaml │ │ ├── predictor.py │ │ └── train_net.py │ ├── configs │ │ ├── Base.yaml │ │ ├── GRiT_B_DenseCap.yaml │ │ ├── GRiT_B_DenseCap_ObjectDet.yaml │ │ ├── GRiT_B_ObjectDet.yaml │ │ ├── GRiT_H_ObjectDet.yaml │ │ └── GRiT_L_ObjectDet.yaml │ ├── grit │ │ ├── __init__.py │ │ ├── config.py │ │ ├── custom_solver.py │ │ ├── data │ │ │ ├── __init__.py │ │ │ ├── custom_build_augmentation.py │ │ │ ├── custom_dataset_dataloader.py │ │ │ ├── custom_dataset_mapper.py │ │ │ ├── datasets │ │ │ │ ├── __init__.py │ │ │ │ ├── grit_coco.py │ │ │ │ ├── object365.py │ │ │ │ └── vg.py │ │ │ └── transforms │ │ │ │ ├── __init__.py │ │ │ │ ├── custom_augmentation_impl.py │ │ │ │ └── custom_transform.py │ │ ├── evaluation │ │ │ └── eval.py │ │ ├── modeling │ │ │ ├── __init__.py │ │ │ ├── backbone │ │ │ │ ├── __init__.py │ │ │ │ ├── utils.py │ │ │ │ └── vit.py │ │ │ ├── meta_arch │ │ │ │ ├── __init__.py │ │ │ │ └── grit.py │ │ │ ├── roi_heads │ │ │ │ ├── __init__.py │ │ │ │ ├── grit_fast_rcnn.py │ │ │ │ └── grit_roi_heads.py │ │ │ ├── soft_nms.py │ │ │ └── text │ │ │ │ ├── __init__.py │ │ │ │ ├── file_utils.py │ │ │ │ ├── load_text_token.py │ │ │ │ ├── modeling_bert.py │ │ │ │ └── text_decoder.py │ │ └── predictor.py │ └── image_dense_captions.py ├── tag2Text │ ├── __init__.py │ ├── config_swinB_384.json │ ├── med.py │ ├── med_config.json │ ├── q2l_config.json │ ├── swin_transformer.py │ ├── tag2text.py │ ├── tag_class.py │ └── vit.py └── umt │ ├── __init__.py │ ├── datasets │ ├── __init__.py │ ├── build.py │ ├── kinetics.py │ ├── kinetics_sparse.py │ ├── mae.py │ ├── masking_generator.py │ ├── mixup.py │ ├── rand_augment.py │ ├── random_erasing.py │ ├── ssv2.py │ ├── transforms.py │ ├── video_transforms.py │ └── volume_transforms.py │ ├── functional.py │ ├── kinetics_400_categories.txt │ └── models │ ├── __init__.py │ ├── clip.py │ ├── extract_clip │ └── extract.ipynb │ ├── modeling_finetune.py │ ├── modeling_pretrain.py │ └── modeling_pretrain_umt.py └── utils.py /General-Bench-Closeset/.gitkeep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /General-Bench-Openset/.gitkeep: 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