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Functions329 in github.com/CHENGY12/PLOT

⨍ Functions 329◇ Types & classes 88
↓ 52 callersMethodgenerate_fewshot_dataset
Generate a few-shot dataset (typically for the training set). This function is useful when one wants to evaluate a model in a few-sho
plot-adapter/datasets/utils.py:210
↓ 22 callersFunctionlistdir_nohidden
List non-hidden items in a directory. Args: path (str): directory path. sort (bool): sort the items.
plot-adapter/datasets/utils.py:53
↓ 11 callersMethodsubsample_classes
Divide classes into two groups. The first group represents base classes while the second group represents new classes. Args:
plot-pp/datasets/oxford_pets.py:141
↓ 11 callersMethodsubsample_classes
Divide classes into two groups. The first group represents base classes while the second group represents new classes. Args:
plot-coop/datasets/oxford_pets.py:141
↓ 9 callersFunctioncls_acc
(output, target, topk=1)
plot-adapter/utils.py:61
↓ 9 callersMethodread_split
(filepath, path_prefix)
plot-pp/datasets/oxford_pets.py:123
↓ 9 callersMethodread_split
(filepath, path_prefix)
plot-adapter/datasets/oxford_pets.py:106
↓ 9 callersMethodread_split
(filepath, path_prefix)
plot-coop/datasets/oxford_pets.py:123
↓ 9 callersMethodsave_split
(train, val, test, filepath, path_prefix)
plot-pp/datasets/oxford_pets.py:100
↓ 9 callersMethodsave_split
(train, val, test, filepath, path_prefix)
plot-coop/datasets/oxford_pets.py:100
↓ 9 callersFunctiontip_plot
(cfg, image_features_map,adapter,batch_size,beta)
plot-adapter/utils.py:26
↓ 6 callersMethod__init__
(self, embed_dim: int, # vision image_resolution: int,
plot-pp/clip/model.py:302
↓ 6 callersMethod__init__
(self, embed_dim: int, # vision image_resolution: int,
plot-adapter/clip/model.py:240
↓ 6 callersMethod__init__
(self, embed_dim: int, # vision image_resolution: int,
plot-coop/clip/model.py:291
↓ 6 callersFunctionread_json
Read json file from a path.
plot-adapter/datasets/utils.py:15
↓ 5 callersMethodread_classnames
Return a dictionary containing key-value pairs of <folder name>: <class name>.
plot-pp/datasets/imagenet.py:66
↓ 5 callersMethodread_classnames
Return a dictionary containing key-value pairs of <folder name>: <class name>.
plot-coop/datasets/imagenet.py:66
↓ 4 callersMethod_make_layer
(self, planes, blocks, stride=1)
plot-pp/clip/model.py:129
↓ 4 callersMethod_make_layer
(self, planes, blocks, stride=1)
plot-adapter/clip/model.py:126
↓ 4 callersMethod_make_layer
(self, planes, blocks, stride=1)
plot-coop/clip/model.py:177
↓ 4 callersFunctionbuild_data_loader
( data_source=None, batch_size=64, input_size=224, tfm=None, is_train=True, shuffle=Fa
plot-adapter/datasets/utils.py:354
↓ 4 callersMethodread_and_split_data
(image_dir, p_trn=0.5, p_val=0.2, ignored=[], new_cnames=None)
plot-pp/datasets/dtd.py:54
↓ 4 callersMethodread_and_split_data
(image_dir, p_trn=0.5, p_val=0.2, ignored=[], new_cnames=None)
plot-coop/datasets/dtd.py:54
↓ 4 callersMethodsplit_trainval
(trainval, p_val=0.2)
plot-pp/datasets/oxford_pets.py:77
↓ 4 callersMethodsplit_trainval
(trainval, p_val=0.2)
plot-coop/datasets/oxford_pets.py:77
↓ 3 callersMethodencode
(self, text)
plot-adapter/clip/simple_tokenizer.py:121
↓ 3 callersFunctionpre_load_features
(cfg, split, clip_model, loader)
plot-adapter/utils.py:141
↓ 3 callersMethodread_data
(self, cname2lab, split_file)
plot-pp/datasets/fgvc_aircraft.py:56
↓ 3 callersMethodread_data
(self, cname2lab, split_file)
plot-adapter/datasets/fgvc.py:35
↓ 3 callersMethodread_data
(self, cname2lab, split_file)
plot-coop/datasets/fgvc_aircraft.py:56
↓ 3 callersFunctionwrite_json
Writes to a json file.
plot-adapter/datasets/utils.py:22
↓ 2 callersMethod__init__
(self, cfg, classnames, clip_model)
plot-pp/trainers/plotpp.py:178
↓ 2 callersMethod__init__
(self, classnames, clip_model)
plot-adapter/main_imagenet.py:209
↓ 2 callersMethod__init__
(self, classnames, clip_model)
plot-adapter/main.py:213
↓ 2 callersMethod__init__
(self, cfg, classnames, clip_model)
plot-coop/trainers/plot.py:197
↓ 2 callersFunction_download
(url: str, root: str = os.path.expanduser("~/.cache/clip"))
plot-adapter/clip/clip.py:39
↓ 2 callersFunction_transform
(n_px)
plot-pp/clip/clip.py:71
↓ 2 callersFunction_transform
(n_px)
plot-adapter/clip/clip.py:71
↓ 2 callersFunction_transform
(n_px)
plot-coop/clip/clip.py:71
↓ 2 callersMethod_transform_image
(self, tfm, img0)
plot-adapter/datasets/utils.py:341
↓ 2 callersFunctionavailable_models
Returns the names of available CLIP models
plot-adapter/clip/clip.py:81
↓ 2 callersFunctionbuild_cache_model
(cfg, clip_model, train_loader_cache)
plot-adapter/utils.py:89
↓ 2 callersFunctionbuild_model
(state_dict: dict)
plot-adapter/clip/model.py:395
↓ 2 callersFunctionbytes_to_unicode
Returns list of utf-8 byte and a corresponding list of unicode strings. The reversible bpe codes work on unicode strings. This means you
plot-pp/clip/simple_tokenizer.py:16
↓ 2 callersFunctionbytes_to_unicode
Returns list of utf-8 byte and a corresponding list of unicode strings. The reversible bpe codes work on unicode strings. This means you
plot-adapter/clip/simple_tokenizer.py:16
↓ 2 callersFunctionbytes_to_unicode
Returns list of utf-8 byte and a corresponding list of unicode strings. The reversible bpe codes work on unicode strings. This means you
plot-coop/clip/simple_tokenizer.py:16
↓ 2 callersFunctionclip_classifier
(classnames, template, clip_model)
plot-adapter/utils.py:69
↓ 2 callersMethodencode
(self, text)
plot-pp/clip/simple_tokenizer.py:121
↓ 2 callersMethodencode
(self, text)
plot-coop/clip/simple_tokenizer.py:121
↓ 2 callersMethodencode_text
(self, text)
plot-adapter/clip/model.py:339
↓ 2 callersFunctionget_pairs
Return set of symbol pairs in a word. Word is represented as tuple of symbols (symbols being variable-length strings).
plot-pp/clip/simple_tokenizer.py:38
↓ 2 callersFunctionget_pairs
Return set of symbol pairs in a word. Word is represented as tuple of symbols (symbols being variable-length strings).
plot-adapter/clip/simple_tokenizer.py:38
↓ 2 callersFunctionget_pairs
Return set of symbol pairs in a word. Word is represented as tuple of symbols (symbols being variable-length strings).
plot-coop/clip/simple_tokenizer.py:38
↓ 2 callersMethodis_input_domain_valid
(self, input_domains)
plot-adapter/datasets/utils.py:180
↓ 2 callersFunctionpatch_device
(module)
plot-pp/clip/clip.py:136
↓ 2 callersFunctionpatch_device
(module)
plot-adapter/clip/clip.py:136
↓ 2 callersFunctionpatch_device
(module)
plot-coop/clip/clip.py:136
↓ 2 callersFunctionpatch_float
(module)
plot-pp/clip/clip.py:160
↓ 2 callersFunctionpatch_float
(module)
plot-adapter/clip/clip.py:160
↓ 2 callersFunctionpatch_float
(module)
plot-coop/clip/clip.py:160
↓ 2 callersMethodread_data
(self, classnames, split_dir)
plot-pp/datasets/imagenet.py:80
↓ 2 callersMethodread_data
(self, split_file)
plot-pp/datasets/oxford_pets.py:56
↓ 2 callersMethodread_data
(self, cname2lab, text_file)
plot-pp/datasets/sun397.py:61
↓ 2 callersMethodread_data
(self, cname2lab, text_file)
plot-pp/datasets/ucf101.py:64
↓ 2 callersMethodread_data
(self, image_dir, anno_file, meta_file)
plot-pp/datasets/stanford_cars.py:57
↓ 2 callersMethodread_data
(self, classnames, split_dir)
plot-coop/datasets/imagenet.py:80
↓ 2 callersMethodread_data
(self, split_file)
plot-coop/datasets/oxford_pets.py:56
↓ 2 callersMethodread_data
(self, cname2lab, text_file)
plot-coop/datasets/sun397.py:61
↓ 2 callersMethodread_data
(self, cname2lab, text_file)
plot-coop/datasets/ucf101.py:64
↓ 2 callersMethodread_data
(self, image_dir, anno_file, meta_file)
plot-coop/datasets/stanford_cars.py:57
↓ 2 callersMethodtest
(self)
plot-adapter/datasets/utils.py:135
↓ 1 callersFunctionSinkhorn
(K, u, v)
plot-adapter/utils.py:10
↓ 1 callersMethodSinkhorn
(self, K, u, v)
plot-pp/trainers/plotpp.py:199
↓ 1 callersMethodSinkhorn
(self, K, u, v)
plot-adapter/main_imagenet.py:226
↓ 1 callersMethodSinkhorn
(self, K, u, v)
plot-adapter/main.py:229
↓ 1 callersMethodSinkhorn
(self, K, u, v)
plot-coop/trainers/plot.py:214
↓ 1 callersFunction_download
(url: str, root: str = os.path.expanduser("~/.cache/clip"))
plot-pp/clip/clip.py:39
↓ 1 callersFunction_download
(url: str, root: str = os.path.expanduser("~/.cache/clip"))
plot-coop/clip/clip.py:39
↓ 1 callersMethodattention
(self, x: torch.Tensor)
plot-pp/clip/model.py:184
↓ 1 callersMethodattention
(self, x: torch.Tensor)
plot-adapter/clip/model.py:181
↓ 1 callersMethodattention
(self, x: torch.Tensor)
plot-coop/clip/model.py:232
↓ 1 callersFunctionavailable_models
Returns the names of available CLIP models
plot-pp/clip/clip.py:81
↓ 1 callersFunctionavailable_models
Returns the names of available CLIP models
plot-coop/clip/clip.py:81
↓ 1 callersFunctionbasic_clean
(text)
plot-pp/clip/simple_tokenizer.py:50
↓ 1 callersFunctionbasic_clean
(text)
plot-adapter/clip/simple_tokenizer.py:50
↓ 1 callersFunctionbasic_clean
(text)
plot-coop/clip/simple_tokenizer.py:50
↓ 1 callersMethodbpe
(self, token)
plot-pp/clip/simple_tokenizer.py:80
↓ 1 callersMethodbpe
(self, token)
plot-adapter/clip/simple_tokenizer.py:80
↓ 1 callersMethodbpe
(self, token)
plot-coop/clip/simple_tokenizer.py:80
↓ 1 callersMethodbuild_attention_mask
(self)
plot-pp/clip/model.py:386
↓ 1 callersMethodbuild_attention_mask
(self)
plot-adapter/clip/model.py:324
↓ 1 callersMethodbuild_attention_mask
(self)
plot-coop/clip/model.py:375
↓ 1 callersFunctionbuild_dataset
(dataset, root_path, shots)
plot-adapter/datasets/__init__.py:27
↓ 1 callersFunctionbuild_model
(state_dict: dict)
plot-pp/clip/model.py:457
↓ 1 callersFunctionbuild_model
(state_dict: dict)
plot-coop/clip/model.py:446
↓ 1 callersMethodbuild_model
(self)
plot-pp/trainers/plotpp.py:274
↓ 1 callersMethodbuild_model
(self)
plot-coop/trainers/plot.py:294
↓ 1 callersMethodconstruct_prompts
(self, ctx, prefix, suffix, label=None)
plot-pp/trainers/plotpp.py:140
↓ 1 callersFunctionconvert_weights
Convert applicable model parameters to fp16
plot-pp/clip/model.py:433
↓ 1 callersFunctionconvert_weights
Convert applicable model parameters to fp16
plot-adapter/clip/model.py:371
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