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Functions274 in github.com/datawhalechina/dive-into-cv-pytorch

⨍ Functions 274◇ Types & classes 77

Methodforward

Pass the input (and mask) through each layer in turn.

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:74

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:89

Methodforward

Apply residual connection to any sublayer with the same size.

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:105

Methodforward

Follow Figure 1 (left) for connections.

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:122

Methodforward

(self, x, memory, src_mask, tgt_mask)

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:141

Methodforward

Follow Figure 1 (right) for connections.

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:156

Methodforward

Implements Figure 2

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:196

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:225

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:236

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer/transformer.py:258

Methodforward

(self, x, target)

code/chapter06_transformer/6.2_recognition_by_transformer/train_utils.py:17

Methodforward

Take in and process masked src and target sequences.

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:34

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:55

Methodforward

Pass the input (and mask) through each layer in turn.

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:74

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:89

Methodforward

Apply residual connection to any sublayer with the same size.

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:121

Methodforward

Follow Figure 1 (left) for connections.

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:139

Methodforward

(self, x, memory, src_mask, tgt_mask)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:158

Methodforward

Follow Figure 1 (right) for connections.

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:173

Methodforward

Implements Figure 2

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:213

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:242

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:253

Methodforward

(self, x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/transformer.py:275

Methodforward

(self, x, target)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/train_utils.py:50

Methodforward

Take in and process masked src and target sequences.

code/chapter06_transformer/6.1_hello_transformer/transformer.py:34

Methodforward

(self, x)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:55

Methodforward

Pass the input (and mask) through each layer in turn.

code/chapter06_transformer/6.1_hello_transformer/transformer.py:74

Methodforward

(self, x)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:89

Methodforward

Apply residual connection to any sublayer with the same size.

code/chapter06_transformer/6.1_hello_transformer/transformer.py:104

Methodforward

(self, x, mask)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:128

Methodforward

(self, x, memory, src_mask, tgt_mask)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:146

Methodforward

Follow Figure 1 (right) for connections.

code/chapter06_transformer/6.1_hello_transformer/transformer.py:161

Methodforward

Implements Figure 2

code/chapter06_transformer/6.1_hello_transformer/transformer.py:201

Methodforward

(self, x)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:231

Methodforward

(self, x)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:242

Methodforward

(self, x)

code/chapter06_transformer/6.1_hello_transformer/transformer.py:274

Methodforward

(self, img)

code/chapter02_image_classification_introduction/2.4_classification_action_SVHN/baseline.py:115

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:39

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/ResNet/ResNet.py:60

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/ResNet/ResNet.py:101

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/GoogLeNet/GoogLeNet.py:58

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/GoogLeNet/GoogLeNet.py:92

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/lenet/LeNet.py:55

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:41

Methodforward

(self, X)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/BN/BatchNormalization.py:51

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/BN/BatchNormalization.py:123

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/NiN/NiN.py:81

Methodforward

(self, x)

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/AlexNet/AlexNet.py:76

Methodforward

(self, x)

code/chapter01_preliminary_knowledge/1.5_FC_MNIST_Classification/FC_MNIST_Classification.py:28

Methodforward

Forward propagation. :param image: images, a tensor of dimensions (N, 3, 224, 224) :return: feature maps pool5

code/chapter03_object_detection_introduction/tiny_detector_demo/model.py:47

Methodforward

Forward propagation. :param pool5_feats: conv4_3 feature map, a tensor of dimensions (N, 512, 7, 7) :return: 441 locations a

code/chapter03_object_detection_introduction/tiny_detector_demo/model.py:144

Methodforward

Forward propagation. :param image: images, a tensor of dimensions (N, 3, 224, 224) :return: 441 locations and class scores (

code/chapter03_object_detection_introduction/tiny_detector_demo/model.py:185

Methodforward

Forward propagation. :param predicted_locs: predicted locations/boxes w.r.t the 441 prior boxes, a tensor of dimensions (N, 441, 4)

code/chapter03_object_detection_introduction/tiny_detector_demo/model.py:356

Functionget_std_opt

(model)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/train_utils.py:34

Functionloss

(x)

code/chapter06_transformer/6.2_recognition_by_transformer/train_utils.py:40

Functionloss

(x)

code/chapter06_transformer/6.2_recognition_by_transformer(online_dataset)/train_utils.py:73

Functionplot_img_and_mask

(img, mask)

code/chapter04_segmentation_introduction/building_identification_baseline/utils/data_vis.py:3

Functionrle_encode

im: numpy array, 1 - mask, 0 - background Returns run length as string formated

code/chapter04_segmentation_introduction/building_identification_baseline/dataset.py:11

Functionvgg11

VGG 11-layer model (configuration "A")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:71

Functionvgg11

VGG 11-layer model (configuration "A")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:73

Functionvgg11_bn

VGG 11-layer model (configuration "A") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:76

Functionvgg11_bn

VGG 11-layer model (configuration "A") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:78

Functionvgg13

VGG 13-layer model (configuration "B")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:81

Functionvgg13

VGG 13-layer model (configuration "B")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:83

Functionvgg13_bn

VGG 13-layer model (configuration "B") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:86

Functionvgg13_bn

VGG 13-layer model (configuration "B") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:88

Functionvgg16

VGG 16-layer model (configuration "D")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:91

Functionvgg16

VGG 16-layer model (configuration "D")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:93

Functionvgg16_bn

VGG 16-layer model (configuration "D") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:96

Functionvgg16_bn

VGG 16-layer model (configuration "D") with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:98

Functionvgg19

VGG 19-layer model (configuration "E")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:101

Functionvgg19

VGG 19-layer model (configuration "E")

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:103

Functionvgg19_bn

VGG 19-layer model (configuration 'E') with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/pytorch-vgg-cifar10/vgg.py:106

Functionvgg19_bn

VGG 19-layer model (configuration 'E') with batch normalization

code/chapter02_image_classification_introduction/2.2_introduction_of_image_classification/classical_cnn_models/VGG/vgg_models.py:108

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