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Types & classes27 in github.com/Giphy/celeb-detection-oss

⨍ Functions 123◇ Types & classes 27↳ Endpoints 3
↓ 3 callersClassFaceDetector
model_training/preprocessors/face_detection/face_detector.py:37
↓ 2 callersClassAdaptResNetBottleneck
half_size=True adapts network to 112x112 inputs, retaining the same size of feature maps
model_training/models/cnn/resnet.py:33
↓ 2 callersClassAugmenter
model_training/dataset_loaders/img_augmentor.py:10
↓ 2 callersClassFaceRecognizer
model_training/helpers/face_recognizer.py:18
↓ 2 callersClassFacialDataset
model_training/dataset_loaders/facial_dataset.py:18
↓ 2 callersClassLabels
model_training/helpers/labels.py:21
↓ 2 callersClassResNetCenterLoss
model_training/models/cnn/resnet.py:57
↓ 1 callersClassCenterLoss
Sample usage: torch.manual_seed(123) cl = CenterLoss(10, 2) print(list(cl.parameters())) # print(cl.centers.grad) y = Variab
model_training/models/losses/center_loss.py:12
↓ 1 callersClassDatasetsBuilder
model_training/preprocessors/datasets_builder.py:24
↓ 1 callersClassLabel
model_training/helpers/labels.py:11
↓ 1 callersClassONet
model_training/preprocessors/face_detection/network.py:259
↓ 1 callersClassPNet
model_training/preprocessors/face_detection/network.py:222
↓ 1 callersClassRNet
model_training/preprocessors/face_detection/network.py:239
↓ 1 callersClassRawDataset
model_training/dataset_loaders/raw_dataset.py:13
↓ 1 callersClassResNetModel
model_training/helpers/resnet_model.py:21
↓ 1 callersClassTensorboardClient
model_training/helpers/tensorboard_client.py:13
↓ 1 callersClassTrainer
model_training/trainers/trainer.py:18
ClassAdaptDenseNetBottleneck
model_training/models/cnn/densenet.py:13
ClassAdaptResNet
half_size=True adapts network to 112x112 inputs, retaining the same size of feature maps
model_training/models/cnn/resnet.py:11
ClassAdaptXceptionBottleneck
model_training/models/cnn/xception.py:13
ClassAverageMeter
Computes and stores the average and current value
model_training/utils.py:120
ClassCenterLossAdapter
model_training/models/adapters/center_loss_adapter.py:13
ClassCenterLossForward
Sample usage: like CenterLoss, but use cl.train() to allow update of centers and cl.eval() to disable it
model_training/models/losses/center_loss_forward.py:12
ClassDenseNetCenterLoss
model_training/models/cnn/densenet.py:33
ClassNetwork
model_training/preprocessors/face_detection/network.py:65
ClassXceptionCenterLoss
model_training/models/cnn/xception.py:32
Classretry
model_training/utils.py:145