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Types & classes20 in github.com/a312863063/Model-Swap-Face

↓ 10 callersClassConvBNReLU
encoder/model.py:14
↓ 3 callersClassBiSeNetOutput
encoder/model.py:39
↓ 3 callersClassGenerator
encoder/generator_model.py:26
↓ 2 callersClassAttentionRefinementModule
encoder/model.py:71
↓ 2 callersClassBasicBlock
encoder/resnet.py:20
↓ 2 callersClassBiSeNet
encoder/model.py:239
↓ 2 callersClassResnet18
encoder/resnet.py:58
↓ 1 callersClassContextPath
encoder/model.py:98
↓ 1 callersClassFeatureFusionModule
encoder/model.py:188
↓ 1 callersClassLandmarksDetector
tools/landmarks_detector.py:4
↓ 1 callersClassNetwork
Generic network abstraction. Acts as a convenience wrapper for a parameterized network construction function, providing several utility metho
dnnlib/tflib/network.py:36
↓ 1 callersClassPerceptualModel
encoder/perceptual_model.py:61
ClassEasyDict
Convenience class that behaves like a dict but allows access with the attribute syntax.
dnnlib/util.py:36
ClassLogger
Redirect stderr to stdout, optionally print stdout to a file, and optionally force flushing on both stdout and the file.
dnnlib/util.py:52
ClassOptimizer
A Wrapper for tf.train.Optimizer. Automatically takes care of: - Gradient averaging for multi-GPU training. - Dynamic loss scaling and ty
dnnlib/tflib/optimizer.py:29
ClassPathType
Determines in which format should a path be formatted. WINDOWS: Format with Windows style. LINUX: Format with Linux/Posix style. AUTO: Us
dnnlib/submission/submit.py:38
ClassRunContext
Helper class for managing the run/training loop. The context will hide the implementation details of a basic run/training loop. It will set t
dnnlib/submission/run_context.py:22
ClassSpatialPath
encoder/model.py:153
ClassSubmitConfig
Strongly typed config dict needed to submit runs. Attributes: run_dir_root: Path to the run dir root. Can be optionally templated with ta
dnnlib/submission/submit.py:53
ClassSubmitTarget
The target where the function should be run. LOCAL: Run it locally.
dnnlib/submission/submit.py:30