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github.com/MediaBrain-SJTU/MedKLIP
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Functions
595 in github.com/MediaBrain-SJTU/MedKLIP
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Functions
595
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Types & classes
91
Function
posterize_func
same output as PIL.ImageOps.posterize
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:179
Function
rotate_func
like PIL, rotate by degree, not radians
PreTrain_MedKLIP/dataset/randaugment.py:66
Function
rotate_func
like PIL, rotate by degree, not radians
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:66
Function
rotate_func
like PIL, rotate by degree, not radians
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:66
Function
rotate_func
like PIL, rotate by degree, not radians
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:66
Function
save_on_master
(*args, **kwargs)
PreTrain_MedKLIP/utils.py:235
Function
save_on_master
(*args, **kwargs)
Sample_Finetuning_SIIMACR/I2_segmentation/utils.py:257
Method
save_vocabulary
(self, save_directory: str, filename_prefix: Optional[str] = None)
PreTrain_MedKLIP/models/tokenization_bert.py:321
Method
save_vocabulary
(self, save_directory: str, filename_prefix: Optional[str] = None)
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:321
Method
save_vocabulary
(self, save_directory: str, filename_prefix: Optional[str] = None)
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:321
Function
sharpness_func
The differences the this result and PIL are all on the 4 boundaries, the center areas are same
PreTrain_MedKLIP/dataset/randaugment.py:131
Function
sharpness_func
The differences the this result and PIL are all on the 4 boundaries, the center areas are same
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:131
Function
sharpness_func
The differences the this result and PIL are all on the 4 boundaries, the center areas are same
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:131
Function
sharpness_func
The differences the this result and PIL are all on the 4 boundaries, the center areas are same
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:131
Function
shear_x_func
(img, factor, fill=(0, 0, 0))
PreTrain_MedKLIP/dataset/randaugment.py:152
Function
shear_x_func
(img, factor, fill=(0, 0, 0))
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:152
Function
shear_x_func
(img, factor, fill=(0, 0, 0))
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:152
Function
shear_x_func
(img, factor, fill=(0, 0, 0))
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:152
Function
shear_y_func
(img, factor, fill=(0, 0, 0))
PreTrain_MedKLIP/dataset/randaugment.py:187
Function
shear_y_func
(img, factor, fill=(0, 0, 0))
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:187
Function
shear_y_func
(img, factor, fill=(0, 0, 0))
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:187
Function
shear_y_func
(img, factor, fill=(0, 0, 0))
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:187
Function
solarize_func
same output as PIL.ImageOps.posterize
PreTrain_MedKLIP/dataset/randaugment.py:77
Function
solarize_func
same output as PIL.ImageOps.posterize
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:77
Function
solarize_func
same output as PIL.ImageOps.posterize
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:77
Function
solarize_func
same output as PIL.ImageOps.posterize
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:77
Method
state_dict
(self)
PreTrain_MedKLIP/scheduler/plateau_lr.py:60
Method
state_dict
(self)
PreTrain_MedKLIP/scheduler/scheduler.py:55
Method
state_dict
(self)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/plateau_lr.py:60
Method
state_dict
(self)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler.py:55
Method
state_dict
(self)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/plateau_lr.py:60
Method
state_dict
(self)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler.py:55
Method
step
(self, epoch, metric=None)
PreTrain_MedKLIP/scheduler/plateau_lr.py:72
Method
step
(self, epoch: int, metric: float = None)
PreTrain_MedKLIP/scheduler/scheduler.py:67
Method
step
(self, closure=None)
PreTrain_MedKLIP/optim/radam.py:20
Method
step
(self, closure=None)
PreTrain_MedKLIP/optim/radam.py:98
Method
step
(self, closure=None)
PreTrain_MedKLIP/optim/lookahead.py:45
Method
step
Performs a single optimization step. Arguments: closure (callable, optional) -- a closure that reevaluates the model and
PreTrain_MedKLIP/optim/adahessian.py:103
Method
step
(self, closure=None)
PreTrain_MedKLIP/optim/adamp.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
PreTrain_MedKLIP/optim/adamw.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the
PreTrain_MedKLIP/optim/adafactor.py:81
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
PreTrain_MedKLIP/optim/rmsprop_tf.py:71
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
PreTrain_MedKLIP/optim/nadam.py:34
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model an
PreTrain_MedKLIP/optim/nvnovograd.py:54
Method
step
(self, closure=None)
PreTrain_MedKLIP/optim/novograd.py:25
Method
step
(self, epoch, metric=None)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/plateau_lr.py:72
Method
step
(self, epoch: int, metric: float = None)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler.py:67
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I1_classification/optim/radam.py:20
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I1_classification/optim/radam.py:98
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I1_classification/optim/lookahead.py:45
Method
step
Performs a single optimization step. Arguments: closure (callable, optional) -- a closure that reevaluates the model and
Sample_Finetuning_SIIMACR/I1_classification/optim/adahessian.py:103
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I1_classification/optim/adamp.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I1_classification/optim/adamw.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the
Sample_Finetuning_SIIMACR/I1_classification/optim/adafactor.py:81
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I1_classification/optim/rmsprop_tf.py:71
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I1_classification/optim/nadam.py:34
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model an
Sample_Finetuning_SIIMACR/I1_classification/optim/nvnovograd.py:54
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I1_classification/optim/novograd.py:25
Method
step
(self, epoch, metric=None)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/plateau_lr.py:72
Method
step
(self, epoch: int, metric: float = None)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler.py:67
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/radam.py:20
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/radam.py:98
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/lookahead.py:45
Method
step
Performs a single optimization step. Arguments: closure (callable, optional) -- a closure that reevaluates the model and
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adahessian.py:103
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adamp.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adamw.py:55
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adafactor.py:81
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I2_segmentation/optim/rmsprop_tf.py:71
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
Sample_Finetuning_SIIMACR/I2_segmentation/optim/nadam.py:34
Method
step
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model an
Sample_Finetuning_SIIMACR/I2_segmentation/optim/nvnovograd.py:54
Method
step
(self, closure=None)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/novograd.py:25
Method
step_update
(self, num_updates: int, metric: float = None)
PreTrain_MedKLIP/scheduler/scheduler.py:74
Method
step_update
(self, num_updates: int, metric: float = None)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler.py:74
Method
step_update
(self, num_updates: int, metric: float = None)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler.py:74
Method
sync_lookahead
(self)
PreTrain_MedKLIP/optim/lookahead.py:41
Method
sync_lookahead
(self)
Sample_Finetuning_SIIMACR/I1_classification/optim/lookahead.py:41
Method
sync_lookahead
(self)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/lookahead.py:41
Method
synchronize_between_processes
Warning: does not synchronize the deque!
PreTrain_MedKLIP/utils.py:29
Method
synchronize_between_processes
Warning: does not synchronize the deque!
Sample_Finetuning_SIIMACR/I2_segmentation/utils.py:51
Method
tokenize
Tokenizes a piece of text into its word pieces. This uses a greedy longest-match-first algorithm to perform tokenization using the gi
PreTrain_MedKLIP/models/tokenization_bert.py:496
Method
tokenize
Tokenizes a piece of text into its word pieces. This uses a greedy longest-match-first algorithm to perform tokenization using the gi
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:496
Method
tokenize
Tokenizes a piece of text into its word pieces. This uses a greedy longest-match-first algorithm to perform tokenization using the gi
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:496
Function
translate_x_func
same output as PIL.Image.transform
PreTrain_MedKLIP/dataset/randaugment.py:159
Function
translate_x_func
same output as PIL.Image.transform
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:159
Function
translate_x_func
same output as PIL.Image.transform
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:159
Function
translate_x_func
same output as PIL.Image.transform
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:159
Function
translate_y_func
same output as PIL.Image.transform
PreTrain_MedKLIP/dataset/randaugment.py:169
Function
translate_y_func
same output as PIL.Image.transform
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:169
Function
translate_y_func
same output as PIL.Image.transform
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:169
Function
translate_y_func
same output as PIL.Image.transform
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:169
Method
value
(self)
PreTrain_MedKLIP/utils.py:64
Method
value
(self)
Sample_Finetuning_SIIMACR/I2_segmentation/utils.py:86
Method
vocab_size
(self)
PreTrain_MedKLIP/models/tokenization_bert.py:212
Method
vocab_size
(self)
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:212
Method
vocab_size
(self)
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:212
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