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Functions228 in github.com/VSAnimator/stgan

⨍ Functions 228◇ Types & classes 49
Methodmodify_commandline_options
Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option
models/temporal_branched_ir_model.py:17
Methodmodify_commandline_options
Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option
models/cycle_gan_model.py:20
Methodmodify_commandline_options
Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option
models/test_model.py:12
Methodmodify_commandline_options
Add new model-specific options, and rewrite default values for existing options. Parameters: parser -- original option p
models/base_model.py:47
Methodmodify_commandline_options
Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option
models/pix2pix_model.py:17
Methodmodify_commandline_options
Add new model-specific options and rewrite default values for existing options. Parameters: parser -- the option parser
models/template_model.py:25
Methodmodify_commandline_options
Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option
models/pix2pix_ir_model.py:17
Methodoptimize_parameters
(self)
models/temporal_branched_model.py:127
Methodoptimize_parameters
(self)
models/temporal_ir_model.py:128
Methodoptimize_parameters
(self)
models/temporal_model.py:128
Methodoptimize_parameters
(self)
models/temporal_branched_ir_model.py:127
Methodoptimize_parameters
Calculate losses, gradients, and update network weights; called in every training iteration
models/cycle_gan_model.py:180
Methodoptimize_parameters
Calculate losses, gradients, and update network weights; called in every training iteration
models/base_model.py:74
Methodoptimize_parameters
(self)
models/pix2pix_model.py:116
Methodoptimize_parameters
Update network weights; it will be called in every training iteration.
models/template_model.py:94
Methodoptimize_parameters
(self)
models/pix2pix_ir_model.py:116
Functionprint_numpy
Print the mean, min, max, median, std, and size of a numpy array Parameters: val (bool) -- if print the values of the numpy array
util/util.py:60
Functionsave_image
Save a numpy image to the disk Parameters: image_numpy (numpy array) -- input numpy array image_path (str) -- the path o
util/util.py:49
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/temporal_branched_model.py:74
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/temporal_ir_model.py:74
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/temporal_model.py:74
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/temporal_branched_ir_model.py:74
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/cycle_gan_model.py:99
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): includes the data its
models/base_model.py:60
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/pix2pix_model.py:73
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input: a dictionary that contains t
models/template_model.py:72
Methodset_input
Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itse
models/pix2pix_ir_model.py:73
Functiontensor2im
Converts a Tensor array into a numpy image array. Parameters: input_image (tensor) -- the input image tensor array imtype (type)
util/util.py:9
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