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Types & classes30 in github.com/NVlabs/SPADE

⨍ Functions 197◇ Types & classes 30
↓ 8 callersClassSPADEResnetBlock
models/networks/architecture.py:21
↓ 3 callersClassSPADE
models/networks/normalization.py:66
↓ 2 callersClassPix2PixModel
models/pix2pix_model.py:11
↓ 2 callersClassVisualizer
util/visualizer.py:17
↓ 1 callersClassColorize
util/util.py:262
↓ 1 callersClassHTML
util/html.py:12
↓ 1 callersClassIterationCounter
util/iter_counter.py:12
↓ 1 callersClassNLayerDiscriminator
models/networks/discriminator.py:67
↓ 1 callersClassPix2PixTrainer
Trainer creates the model and optimizers, and uses them to updates the weights of the network while reporting losses and the latest visua
trainers/pix2pix_trainer.py:10
↓ 1 callersClassResnetBlock
models/networks/architecture.py:73
↓ 1 callersClassTestOptions
options/test_options.py:9
↓ 1 callersClassTrainOptions
options/train_options.py:9
↓ 1 callersClassVGG19
models/networks/architecture.py:93
ClassADE20KDataset
data/ade20k_dataset.py:10
ClassBaseDataset
data/base_dataset.py:13
ClassBaseNetwork
models/networks/base_network.py:10
ClassBaseOptions
options/base_options.py:16
ClassCityscapesDataset
data/cityscapes_dataset.py:11
ClassCocoDataset
data/coco_dataset.py:11
ClassConvEncoder
Same architecture as the image discriminator
models/networks/encoder.py:13
ClassCustomDataset
Dataset that loads images from directories Use option --label_dir, --image_dir, --instance_dir to specify the directories. The images
data/custom_dataset.py:10
ClassFacadesDataset
data/facades_dataset.py:11
ClassGANLoss
models/networks/loss.py:16
ClassImageFolder
data/image_folder.py:71
ClassKLDLoss
models/networks/loss.py:118
ClassMultiscaleDiscriminator
models/networks/discriminator.py:14
ClassPix2PixHDGenerator
models/networks/generator.py:121
ClassPix2pixDataset
data/pix2pix_dataset.py:12
ClassSPADEGenerator
models/networks/generator.py:15
ClassVGGLoss
models/networks/loss.py:102