├── Depth-Anything ├── LICENSE ├── README.md ├── app.py ├── assets │ ├── controlnet_demo1.png │ ├── controlnet_demo2.png │ ├── examples_video │ │ ├── davis_dolphins.mp4 │ │ ├── davis_rollercoaster.mp4 │ │ └── davis_seasnake.mp4 │ ├── paper.pdf │ ├── teaser.png │ └── video_edit │ │ ├── demo1_midas.mp4 │ │ ├── demo1_ours.mp4 │ │ ├── demo1_video.mp4 │ │ ├── demo2_midas.mp4 │ │ ├── demo2_ours.mp4 │ │ └── demo2_video.mp4 ├── compbench_run_depth.py ├── controlnet │ ├── README.md │ └── config.json ├── depth_anything │ ├── blocks.py │ ├── dpt.py │ └── util │ │ └── transform.py ├── gallery.md ├── metric_depth │ ├── README.md │ ├── depth_to_pointcloud.py │ ├── environment.yml │ ├── evaluate.py │ ├── train_mix.py │ ├── train_mono.py │ ├── train_test_inputs │ │ ├── kitti_eigen_test_files_with_gt.txt │ │ ├── kitti_eigen_train_files_with_gt.txt │ │ ├── nyudepthv2_test_files_with_gt.txt │ │ └── nyudepthv2_train_files_with_gt.txt │ └── zoedepth │ │ ├── data │ │ ├── __init__.py │ │ ├── data_mono.py │ │ ├── ddad.py │ │ ├── diml_indoor_test.py │ │ ├── diml_outdoor_test.py │ │ ├── diode.py │ │ ├── hypersim.py │ │ ├── ibims.py │ │ ├── preprocess.py │ │ ├── sun_rgbd_loader.py │ │ ├── transforms.py │ │ ├── vkitti.py │ │ └── vkitti2.py │ │ ├── models │ │ ├── __init__.py │ │ ├── base_models │ │ │ ├── __init__.py │ │ │ ├── depth_anything.py │ │ │ ├── dpt_dinov2 │ │ │ │ ├── blocks.py │ │ │ │ └── dpt.py │ │ │ └── midas.py │ │ ├── builder.py │ │ ├── depth_model.py │ │ ├── layers │ │ │ ├── attractor.py │ │ │ ├── dist_layers.py │ │ │ ├── localbins_layers.py │ │ │ └── patch_transformer.py │ │ ├── model_io.py │ │ ├── zoedepth │ │ │ ├── __init__.py │ │ │ ├── config_zoedepth.json │ │ │ ├── config_zoedepth_kitti.json │ │ │ └── zoedepth_v1.py │ │ └── zoedepth_nk │ │ │ ├── __init__.py │ │ │ ├── config_zoedepth_nk.json │ │ │ └── zoedepth_nk_v1.py │ │ ├── trainers │ │ ├── base_trainer.py │ │ ├── builder.py │ │ ├── loss.py │ │ ├── zoedepth_nk_trainer.py │ │ └── zoedepth_trainer.py │ │ └── utils │ │ ├── __init__.py │ │ ├── arg_utils.py │ │ ├── config.py │ │ ├── easydict │ │ └── __init__.py │ │ ├── geometry.py │ │ └── misc.py ├── requirements.txt ├── run.py ├── run_video.py ├── semseg │ ├── README.md │ ├── config │ │ └── depth_anything │ │ │ ├── depth_anything_large_mask2former_16xb1_160k_ade20k_896x896.py │ │ │ ├── depth_anything_large_mask2former_16xb1_80k_cityscapes_896x896.py │ │ │ └── depth_anything_large_mask2former_16xb1_80k_cityscapes_896x896_ms.py │ └── dinov2.py └── torchhub │ ├── README.md │ └── facebookresearch_dinov2_main │ ├── CODE_OF_CONDUCT.md │ ├── CONTRIBUTING.md │ ├── LICENSE │ ├── MODEL_CARD.md │ ├── README.md │ ├── __pycache__ │ ├── hubconf.cpython-312.pyc │ └── vision_transformer.cpython-312.pyc │ ├── conda.yaml │ ├── dinov2 │ ├── __init__.py │ ├── __pycache__ │ │ └── __init__.cpython-312.pyc │ ├── configs │ │ ├── __init__.py │ │ ├── eval │ │ │ ├── vitb14_pretrain.yaml │ │ │ ├── vitg14_pretrain.yaml │ │ │ ├── vitl14_pretrain.yaml │ │ │ └── vits14_pretrain.yaml │ │ ├── ssl_default_config.yaml │ │ └── train │ │ │ ├── vitg14.yaml │ │ │ ├── vitl14.yaml │ │ │ └── vitl16_short.yaml │ ├── data │ │ ├── __init__.py │ │ ├── adapters.py │ │ ├── augmentations.py │ │ ├── collate.py │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ ├── decoders.py │ │ │ ├── extended.py │ │ │ ├── image_net.py │ │ │ └── image_net_22k.py │ │ ├── loaders.py │ │ ├── masking.py │ │ ├── samplers.py │ │ └── transforms.py │ ├── distributed │ │ └── __init__.py │ ├── eval │ │ ├── __init__.py │ │ ├── knn.py │ │ ├── linear.py │ │ ├── log_regression.py │ │ ├── metrics.py │ │ ├── setup.py │ │ └── utils.py │ ├── fsdp │ │ └── __init__.py │ ├── layers │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-312.pyc │ │ │ ├── attention.cpython-312.pyc │ │ │ ├── block.cpython-312.pyc │ │ │ ├── dino_head.cpython-312.pyc │ │ │ ├── drop_path.cpython-312.pyc │ │ │ ├── layer_scale.cpython-312.pyc │ │ │ ├── mlp.cpython-312.pyc │ │ │ ├── patch_embed.cpython-312.pyc │ │ │ └── swiglu_ffn.cpython-312.pyc │ │ ├── attention.py │ │ ├── block.py │ │ ├── dino_head.py │ │ ├── drop_path.py │ │ ├── layer_scale.py │ │ ├── mlp.py │ │ ├── patch_embed.py │ │ └── swiglu_ffn.py │ ├── logging │ │ ├── __init__.py │ │ └── helpers.py │ ├── loss │ │ ├── __init__.py │ │ ├── dino_clstoken_loss.py │ │ ├── ibot_patch_loss.py │ │ └── koleo_loss.py │ ├── models │ │ ├── __init__.py │ │ └── vision_transformer.py │ ├── run │ │ ├── __init__.py │ │ ├── eval │ │ │ ├── knn.py │ │ │ ├── linear.py │ │ │ └── log_regression.py │ │ ├── submit.py │ │ └── train │ │ │ └── train.py │ ├── train │ │ ├── __init__.py │ │ ├── ssl_meta_arch.py │ │ └── train.py │ └── utils │ │ ├── __init__.py │ │ ├── cluster.py │ │ ├── config.py │ │ ├── dtype.py │ │ ├── param_groups.py │ │ └── utils.py │ ├── hubconf.py │ ├── pyproject.toml │ ├── requirements-dev.txt │ ├── requirements.txt │ ├── scripts │ └── lint.sh │ ├── setup.cfg │ ├── setup.py │ ├── utils.py │ └── vision_transformer.py ├── Grounded-Segment-Anything ├── CITATION.cff ├── Dockerfile ├── EfficientSAM │ ├── EdgeSAM │ │ ├── common.py │ │ ├── rep_vit.py │ │ └── setup_edge_sam.py │ ├── FastSAM │ │ └── tools.py │ ├── LightHQSAM │ │ ├── example_light_hqsam.png │ │ ├── grounded_light_hqsam_annotated_image.jpg │ │ ├── setup_light_hqsam.py │ │ └── tiny_vit_sam.py │ ├── MobileSAM │ │ ├── setup_mobile_sam.py │ │ └── tiny_vit_sam.py │ ├── README.md │ ├── RepViTSAM │ │ ├── repvit.py │ │ └── setup_repvit_sam.py │ ├── grounded_edge_sam.py │ ├── grounded_efficient_sam.py │ ├── grounded_fast_sam.py │ ├── grounded_light_hqsam.py │ ├── grounded_mobile_sam.py │ └── grounded_repvit_sam.py ├── GroundingDINO │ ├── LICENSE │ ├── README.md │ ├── demo │ │ ├── compbench_eval_numeracy.py │ │ ├── gradio_app.py │ │ └── inference_on_a_image.py │ ├── groundingdino │ │ ├── __init__.py │ │ ├── config │ │ │ ├── GroundingDINO_SwinB.py │ │ │ └── GroundingDINO_SwinT_OGC.py │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ └── transforms.py │ │ ├── models │ │ │ ├── GroundingDINO │ │ │ │ ├── __init__.py │ │ │ │ ├── backbone │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── backbone.py │ │ │ │ │ ├── position_encoding.py │ │ │ │ │ └── swin_transformer.py │ │ │ │ ├── bertwarper.py │ │ │ │ ├── csrc │ │ │ │ │ ├── MsDeformAttn │ │ │ │ │ │ ├── ms_deform_attn.h │ │ │ │ │ │ ├── ms_deform_attn_cpu.cpp │ │ │ │ │ │ ├── ms_deform_attn_cpu.h │ │ │ │ │ │ ├── ms_deform_attn_cuda.cu │ │ │ │ │ │ ├── ms_deform_attn_cuda.h │ │ │ │ │ │ └── ms_deform_im2col_cuda.cuh │ │ │ │ │ ├── cuda_version.cu │ │ │ │ │ └── vision.cpp │ │ │ │ ├── fuse_modules.py │ │ │ │ ├── groundingdino.py │ │ │ │ ├── ms_deform_attn.py │ │ │ │ ├── transformer.py │ │ │ │ ├── transformer_vanilla.py │ │ │ │ └── utils.py │ │ │ ├── __init__.py │ │ │ └── registry.py │ │ ├── util │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-310.pyc │ │ │ │ ├── __init__.cpython-312.pyc │ │ │ │ ├── box_ops.cpython-310.pyc │ │ │ │ ├── get_tokenlizer.cpython-310.pyc │ │ │ │ ├── misc.cpython-310.pyc │ │ │ │ ├── slconfig.cpython-310.pyc │ │ │ │ ├── slconfig.cpython-312.pyc │ │ │ │ ├── utils.cpython-310.pyc │ │ │ │ ├── utils.cpython-312.pyc │ │ │ │ ├── visualizer.cpython-310.pyc │ │ │ │ └── vl_utils.cpython-310.pyc │ │ │ ├── box_ops.py │ │ │ ├── get_tokenlizer.py │ │ │ ├── inference.py │ │ │ ├── logger.py │ │ │ ├── misc.py │ │ │ ├── slconfig.py │ │ │ ├── slio.py │ │ │ ├── time_counter.py │ │ │ ├── utils.py │ │ │ ├── visualizer.py │ │ │ └── vl_utils.py │ │ └── version.py │ ├── pyproject.toml │ ├── requirements.txt │ └── setup.py ├── LICENSE ├── Makefile ├── README.md ├── assets │ ├── Grounded-SAM_logo.png │ ├── annotated_image.jpg │ ├── automatic_label_output_demo3.jpg │ ├── chatbot_demo.png │ ├── demo1.jpg │ ├── demo2.jpg │ ├── demo3.jpg │ ├── demo4.jpg │ ├── demo5.jpg │ ├── demo6.jpg │ ├── demo7.jpg │ ├── demo8.jpg │ ├── demo9.jpg │ ├── gradio_auto_label.png │ ├── gradio_demo.png │ ├── grounded_sam2.png │ ├── grounded_sam_annotated_image.jpg │ ├── grounded_sam_demo3_demo4.png │ ├── grounded_sam_inpainting_demo.png │ ├── grounded_sam_new_demo_image.png │ ├── grounded_sam_output_demo1.jpg │ ├── grounded_sam_whisper_output.jpg │ ├── grounding_dino_output_demo1.jpg │ ├── groundingdino_annotated_image.jpg │ ├── inpaint_demo.jpg │ ├── mask_3dbox.png │ ├── n015-2018-08-02-17-16-37+0800__CAM_BACK_LEFT__1533201470447423.jpg │ └── ram_grounded_sam_new.png ├── automatic_label_demo.py ├── automatic_label_ram_demo.py ├── automatic_label_simple_demo.py ├── automatic_label_tag2text_demo.py ├── chatbot.py ├── cog.yaml ├── compbench_eval_spatial_relationships.py ├── compbench_motion_binding_seg.py ├── gradio_app.py ├── grounded_sam.ipynb ├── grounded_sam_3d_box.ipynb ├── grounded_sam_colab_demo.ipynb ├── grounded_sam_demo.py ├── grounded_sam_inpainting_demo.py ├── grounded_sam_osx_demo.py ├── grounded_sam_simple_demo.py ├── grounded_sam_visam.py ├── grounded_sam_whisper_demo.py ├── grounded_sam_whisper_inpainting_demo.py ├── grounding_dino_demo.py ├── predict.py ├── requirements.txt └── segment_anything │ ├── CODE_OF_CONDUCT.md │ ├── CONTRIBUTING.md │ ├── LICENSE │ ├── README.md │ ├── assets │ ├── masks1.png │ ├── masks2.jpg │ ├── model_diagram.png │ ├── notebook1.png │ └── notebook2.png │ ├── linter.sh │ ├── notebooks │ ├── automatic_mask_generator_example.ipynb │ ├── images │ │ ├── dog.jpg │ │ ├── groceries.jpg │ │ └── truck.jpg │ ├── onnx_model_example.ipynb │ └── predictor_example.ipynb │ ├── scripts │ ├── amg.py │ └── export_onnx_model.py │ ├── segment_anything │ ├── __init__.py │ ├── automatic_mask_generator.py │ ├── build_sam.py │ ├── build_sam_hq.py │ ├── modeling │ │ ├── __init__.py │ │ ├── common.py │ │ ├── image_encoder.py │ │ ├── mask_decoder.py │ │ ├── mask_decoder_hq.py │ │ ├── prompt_encoder.py │ │ ├── sam.py │ │ └── transformer.py │ ├── predictor.py │ └── utils │ │ ├── __init__.py │ │ ├── amg.py │ │ ├── onnx.py │ │ └── transforms.py │ ├── setup.cfg │ └── setup.py ├── LLaVA ├── LICENSE ├── README.md ├── cog.yaml ├── docs │ ├── Customize_Component.md │ ├── Data.md │ ├── Evaluation.md │ ├── Finetune_Custom_Data.md │ ├── Intel.md │ ├── LLaVA_Bench.md │ ├── LLaVA_from_LLaMA2.md │ ├── LoRA.md │ ├── MODEL_ZOO.md │ ├── ScienceQA.md │ ├── Windows.md │ └── macOS.md ├── images │ ├── demo_cli.gif │ ├── llava_example_cmp.png │ ├── llava_logo.png │ └── llava_v1_5_radar.jpg ├── llava │ ├── __init__.py │ ├── constants.py │ ├── conversation.py │ ├── eval │ │ ├── compbench_eval_action_binding.py │ │ ├── compbench_eval_consistent_attr.py │ │ ├── compbench_eval_dynamic_attr.py │ │ ├── compbench_eval_interaction.py │ │ ├── eval_gpt_review.py │ │ ├── eval_gpt_review_bench.py │ │ ├── eval_gpt_review_visual.py │ │ ├── eval_pope.py │ │ ├── eval_science_qa.py │ │ ├── eval_science_qa_gpt4.py │ │ ├── eval_science_qa_gpt4_requery.py │ │ ├── eval_textvqa.py │ │ ├── generate_webpage_data_from_table.py │ │ ├── m4c_evaluator.py │ │ ├── model_qa.py │ │ ├── model_vqa.py │ │ ├── model_vqa_loader.py │ │ ├── model_vqa_mmbench.py │ │ ├── model_vqa_science.py │ │ ├── qa_baseline_gpt35.py │ │ ├── run_llava.py │ │ ├── summarize_gpt_review.py │ │ ├── table │ │ │ ├── answer │ │ │ │ ├── answer_alpaca-13b.jsonl │ │ │ │ ├── answer_bard.jsonl │ │ │ │ ├── answer_gpt35.jsonl │ │ │ │ ├── answer_llama-13b.jsonl │ │ │ │ └── answer_vicuna-13b.jsonl │ │ │ ├── caps_boxes_coco2014_val_80.jsonl │ │ │ ├── model.jsonl │ │ │ ├── prompt.jsonl │ │ │ ├── question.jsonl │ │ │ ├── results │ │ │ │ ├── test_sqa_llava_13b_v0.json │ │ │ │ └── test_sqa_llava_lcs_558k_sqa_12e_vicuna_v1_3_13b.json │ │ │ ├── review │ │ │ │ ├── review_alpaca-13b_vicuna-13b.jsonl │ │ │ │ ├── review_bard_vicuna-13b.jsonl │ │ │ │ ├── review_gpt35_vicuna-13b.jsonl │ │ │ │ └── review_llama-13b_vicuna-13b.jsonl │ │ │ ├── reviewer.jsonl │ │ │ └── rule.json │ │ └── webpage │ │ │ ├── figures │ │ │ ├── alpaca.png │ │ │ ├── bard.jpg │ │ │ ├── chatgpt.svg │ │ │ ├── llama.jpg │ │ │ ├── swords_FILL0_wght300_GRAD0_opsz48.svg │ │ │ └── vicuna.jpeg │ │ │ ├── index.html │ │ │ ├── script.js │ │ │ └── styles.css │ ├── mm_utils.py │ ├── model │ │ ├── __init__.py │ │ ├── apply_delta.py │ │ ├── builder.py │ │ ├── consolidate.py │ │ ├── language_model │ │ │ ├── llava_llama.py │ │ │ ├── llava_mistral.py │ │ │ └── llava_mpt.py │ │ ├── llava_arch.py │ │ ├── make_delta.py │ │ ├── multimodal_encoder │ │ │ ├── builder.py │ │ │ └── clip_encoder.py │ │ ├── multimodal_projector │ │ │ └── builder.py │ │ └── utils.py │ ├── serve │ │ ├── __init__.py │ │ ├── cli.py │ │ ├── controller.py │ │ ├── examples │ │ │ ├── extreme_ironing.jpg │ │ │ └── waterview.jpg │ │ ├── gradio_web_server.py │ │ ├── model_worker.py │ │ ├── register_worker.py │ │ ├── sglang_worker.py │ │ └── test_message.py │ ├── train │ │ ├── llama_flash_attn_monkey_patch.py │ │ ├── llama_xformers_attn_monkey_patch.py │ │ ├── llava_trainer.py │ │ ├── train.py │ │ ├── train_mem.py │ │ └── train_xformers.py │ └── utils.py ├── playground │ └── data │ │ ├── coco2014_val_gpt4_qa_30x3.jsonl │ │ ├── coco2014_val_qa_eval │ │ ├── qa90_gpt4_answer.jsonl │ │ └── qa90_questions.jsonl │ │ └── prompts │ │ ├── complex_reasoning │ │ ├── 000_caps.txt │ │ ├── 000_conv.txt │ │ ├── 001_caps.txt │ │ ├── 001_conv.txt │ │ ├── 002_caps.txt │ │ ├── 002_conv.txt │ │ └── system_message.txt │ │ ├── conversation │ │ ├── 000_caps.txt │ │ ├── 000_conv.txt │ │ ├── 001_caps.txt │ │ ├── 001_conv.txt │ │ └── system_message.txt │ │ └── detail_description │ │ ├── 000_caps.txt │ │ ├── 000_conv.txt │ │ ├── 001_caps.txt │ │ ├── 001_conv.txt │ │ ├── 002_caps.txt │ │ ├── 002_conv.txt │ │ └── system_message.txt ├── predict.py ├── pyproject.toml └── scripts │ ├── convert_gqa_for_eval.py │ ├── convert_mmbench_for_submission.py │ ├── convert_mmvet_for_eval.py │ ├── convert_seed_for_submission.py │ ├── convert_sqa_to_llava.py │ ├── convert_sqa_to_llava_base_prompt.py │ ├── convert_vizwiz_for_submission.py │ ├── convert_vqav2_for_submission.py │ ├── extract_mm_projector.py │ ├── finetune.sh │ ├── finetune_full_schedule.sh │ ├── finetune_lora.sh │ ├── finetune_qlora.sh │ ├── finetune_sqa.sh │ ├── merge_lora_weights.py │ ├── pretrain.sh │ ├── pretrain_xformers.sh │ ├── sqa_eval_batch.sh │ ├── sqa_eval_gather.sh │ ├── upload_pypi.sh │ ├── v1_5 │ ├── eval │ │ ├── gqa.sh │ │ ├── llavabench.sh │ │ ├── mmbench.sh │ │ ├── mmbench_cn.sh │ │ ├── mme.sh │ │ ├── mmvet.sh │ │ ├── pope.sh │ │ ├── qbench.sh │ │ ├── qbench_zh.sh │ │ ├── seed.sh │ │ ├── sqa.sh │ │ ├── textvqa.sh │ │ ├── vizwiz.sh │ │ └── vqav2.sh │ ├── finetune.sh │ ├── finetune_lora.sh │ ├── finetune_task.sh │ ├── finetune_task_lora.sh │ └── pretrain.sh │ ├── zero2.json │ ├── zero3.json │ └── zero3_offload.json ├── README.md ├── asset ├── ranking.png └── teaser.png ├── dot ├── LICENSE ├── README.md ├── assets │ └── teaser.gif ├── compbench_eval_motion_binding.py ├── configs │ ├── bootstapir.json │ ├── cotracker2_patch_4_wind_8.json │ ├── cotracker3_wind_60.json │ ├── cotracker_patch_4_wind_8.json │ ├── raft_patch_4_alpha.json │ ├── raft_patch_8.json │ └── tapir.json ├── demo.py ├── dot │ ├── __init__.py │ ├── data │ │ ├── cvo_dataset.py │ │ ├── movi_f_dataset.py │ │ ├── movi_f_tf_dataset.py │ │ └── tap_dataset.py │ ├── models │ │ ├── __init__.py │ │ ├── dense_optical_tracking.py │ │ ├── interpolation.py │ │ ├── optical_flow.py │ │ ├── point_tracking.py │ │ └── shelf │ │ │ ├── __init__.py │ │ │ ├── cotracker.py │ │ │ ├── cotracker2.py │ │ │ ├── cotracker2_utils │ │ │ ├── LICENSE.md │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── build_cotracker.py │ │ │ │ ├── core │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── cotracker │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── blocks.py │ │ │ │ │ │ ├── cotracker.py │ │ │ │ │ │ └── losses.py │ │ │ │ │ ├── embeddings.py │ │ │ │ │ └── model_utils.py │ │ │ │ └── evaluation_predictor.py │ │ │ ├── predictor.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ └── visualizer.py │ │ │ ├── cotracker3.py │ │ │ ├── cotracker3_utils │ │ │ ├── LICENSE.md │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── build_cotracker.py │ │ │ │ ├── core │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── cotracker │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── blocks.py │ │ │ │ │ │ ├── cotracker.py │ │ │ │ │ │ ├── cotracker3_offline.py │ │ │ │ │ │ ├── cotracker3_online.py │ │ │ │ │ │ └── losses.py │ │ │ │ │ ├── embeddings.py │ │ │ │ │ └── model_utils.py │ │ │ │ └── evaluation_predictor.py │ │ │ ├── predictor.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ └── visualizer.py │ │ │ ├── cotracker_utils │ │ │ ├── LICENSE.md │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── build_cotracker.py │ │ │ │ ├── core │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── cotracker │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── blocks.py │ │ │ │ │ │ ├── cotracker.py │ │ │ │ │ │ └── losses.py │ │ │ │ │ ├── embeddings.py │ │ │ │ │ └── model_utils.py │ │ │ │ └── evaluation_predictor.py │ │ │ ├── predictor.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ └── visualizer.py │ │ │ ├── raft.py │ │ │ ├── raft_utils │ │ │ ├── LICENSE │ │ │ ├── __init__.py │ │ │ ├── corr.py │ │ │ ├── extractor.py │ │ │ ├── update.py │ │ │ └── utils.py │ │ │ ├── tapir.py │ │ │ └── tapir_utils │ │ │ ├── LICENSE │ │ │ ├── nets.py │ │ │ ├── tapir_model.py │ │ │ └── utils.py │ └── utils │ │ ├── __init__.py │ │ ├── io.py │ │ ├── log.py │ │ ├── metrics │ │ ├── __init__.py │ │ ├── cvo_metrics.py │ │ └── tap_metrics.py │ │ ├── options │ │ ├── base_options.py │ │ ├── compbench_demo_options.py │ │ ├── demo_options.py │ │ ├── preprocess_options.py │ │ ├── test_cvo_options.py │ │ ├── test_tap_options.py │ │ └── train_options.py │ │ ├── plot.py │ │ ├── torch.py │ │ └── torch3d │ │ ├── LICENSE │ │ ├── __init__.py │ │ ├── csrc │ │ ├── ext.cpp │ │ ├── knn │ │ │ ├── knn.cu │ │ │ ├── knn.h │ │ │ └── knn_cpu.cpp │ │ ├── packed_to_padded_tensor │ │ │ ├── packed_to_padded_tensor.cu │ │ │ ├── packed_to_padded_tensor.h │ │ │ └── packed_to_padded_tensor_cpu.cpp │ │ └── utils │ │ │ ├── dispatch.cuh │ │ │ ├── float_math.cuh │ │ │ ├── geometry_utils.cuh │ │ │ ├── geometry_utils.h │ │ │ ├── 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