VLPart
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
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Download Latest Version (.zip)- build_pascalpart.yaml
- build_pascalpartbase.yaml
- find_ins11_mixer.yaml
- find_ins20_mixer.yaml
- find_ins_mixer.yaml
- find_ins_mixer_swinbase.yaml
- r50_coco.yaml
- swinbase_cascade_coco.yaml
- r50_lvis_paco.yaml
- r50_lvis_paco_pascalpart.yaml
- r50_lvis_paco_pascalpart_partimagenet.yaml
- swinbase_cascade_lvis_paco.yaml
- swinbase_cascade_lvis_paco_pascalpart.yaml
- swinbase_cascade_lvis_paco_pascalpart_partimagenet.yaml
- r50_lvis_paco_pascalpart_partimagenet_in.yaml
- r50_lvis_paco_pascalpart_partimagenet_inparsed.yaml
- swinbase_cascade_lvis_paco_pascalpart_partimagenet_in.yaml
- swinbase_cascade_lvis_paco_pascalpart_partimagenet_inparsed.yaml
- r50_lvis.yaml
- swinbase_cascade_lvis.yaml
- r50_paco.yaml
- swinbase_cascade_paco.yaml
- r50_partimagenet.yaml
- swinbase_cascade_partimagenet.yaml
- r50_lvis_paco_pascalpart.yaml
- r50_lvis_paco_pascalpart_ins11.yaml
- r50_lvis_paco_pascalpart_ins11_ins11parsed.yaml
- r50_partimagenet_of.yaml
- r50_pascalpart_ins11.yaml
- r50_pascalpart_ins11_ins11maxscore.yaml
- r50_pascalpart_ins11_ins11maxsize.yaml
- r50_pascalpart_ins11_ins11parsed.yaml
- r50_pascalpart.yaml
- swinbase_cascade_pascalpart.yaml
- r50_pascalpart_of.yaml
- r50_pascalpartbase.yaml
- r50_pascalpartbase_voc.yaml
- r50_pascalpartbase_voc_ins20.yaml
- r50_pascalpartbase_voc_ins20_ins20parsed.yaml
- r50_pascalpartbase_voc_ins20parsed.yaml
- r50_voc.yaml
- swinbase_cascade_voc.yaml
- addition_part_clip_RN50_a+cname.npy
- coco_clip_RN50_a+cname.npy
- imagenet1k_label.txt
- imagenet1k_superclass_names.txt
- imagenet_golden_clip_RN50_a+cname.npy
- lvis_v1_clip_RN50_a+cname.npy
- lvis_v1_train_cat_info.json
- paco_clip_RN50_a+cname.npy
- paco_lvis_v1_train_cat_info.json
- partimagenet_clip_RN50_a+cname.npy
- partimagenet_supercat_clip_RN50_a+cname.npy
- pascal_part_base_clip_RN50_a+cname.npy
- pascal_part_clip_of+cname.npy
- pascal_part_clip_RN50_a+cname.npy
- voc_clip_RN50_a+cname.npy
- README.md
- demo.py
- predictor.py
- README.md
- visualizer.py
- boom.png
- img_source.txt
- README.md
- Detic_LI21k_CLIP_SwinB_896b32_4x_ft4x_max-size_part.yaml
- pascalpart.py
- __init__.py
- dump_clip_features_pascal_part.py
- inference_part.sh
- part_task_config.yaml
- pascal_part_mat2json_start1.py
- CLIP_fast_rcnn_R_50_C4_part.yaml
- builtin.py
- pascal_part.py
- dump_clip_features_pascal_part.py
- test_zeroshot_inference_part.sh
- VLDet_LbaseI_CLIP_SwinB_896b32_2x_ft4x_caption_part.yaml
- dump_clip_features_pascal_part.py
- coco_zeroshot.py
- pascalpart.py
- __init__.py
- train_net.py
- README.md
- coco_clip_name.py
- golden_addition_part_clip_name.py
- golden_clip_name.py
- golden_from_imagenet.py
- golden_image_info.sh
- golden_image_parse.sh
- golden_image_parse_swinbase.sh
- lvis_clip_name.py
- lvis_get_cat_info.py
- model_base_prepare.py
- paco_clip_name.py
- paco_get_cat_info.py
- partimagenet_clip_name.py
- partimagenet_clip_of_name.py
- partimagenet_format_json.py
- partimagenet_supercat_clip_name.py
- partimagenet_supercat_image_info.py
- pascal_part_base_clip_name.py
- pascal_part_clip_name.py
- pascal_part_clip_of_name.py
- pascal_part_mat2json.py
- pascal_part_one_json.py
- vis_ann_parsed.py
- voc_clip_name.py
- voc_from_imagenet.py
- __init__.py
- golden_categories.py
- golden_part.py
- imagenet.py
- lvis_paco_categories.py
- lvis_v1.py
- paco.py
- paco_categories.py
- partimagenet.py
- pascal_part.py
- voc.py
- custom_augmentation_impl.py
- custom_transform.py
- __init__.py
- custom_build_augmentation.py
- custom_dataset_dataloader.py
- dataset_mapper_ann.py
- dataset_mapper_filterbybox.py
- dataset_mapper_withimage.py
- detection_utils.py
- tar_dataset.py
- __init__.py
- eval.py
- paco.py
- results.py
- __init__.py
- paco_query_utils.py
- paco_utils.py
- __init__.py
- ann_json_generation.py
- paco_evaluation.py
- pascal_part_openvocabulary_evaluation.py
- recall_evaluation.py
- __init__.py
- swintransformer.py
- timm.py
- __init__.py
- parser_net_mixer.py
- vlm_rcnn.py
- __init__.py
- fast_rcnn_vlm.py
- roi_heads_vlm.py
- zero_shot_classifier.py
- text_encoder.py
- __init__.py
- box_ops.py
- detic.py
- misc.py
- __init__.py
- __init__.py
- custom_solver.py
- __init__.py
- colormap.py
- misc.py
- __init__.py
- config.py
- .gitignore
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- GETTING_STARTED.md
- INSTALL.md
- LICENSE
- MODEL_ZOO.md
- README.md
- requirements.txt
- train_net.py
# Installation Guide
1. Get the code
git clone https://github.com/facebookresearch/VLPart
Downloads the entire project code from GitHub to your computer.
cd VLPart
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python <์คํํ ํ์ผ๋ช
>.py # README์์ ์ ํํ ์คํ ํ์ผ๋ช
์ ํ์ธํ์ธ์
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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