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Types & classes47 in github.com/Tencent/FaceDetection-DSFD

↓ 6 callersClassFEM
face_ssd.py:31
↓ 5 callersClassResNet
model/resnet.py:104
↓ 4 callersClassCompose
Composes several augmentations together. Args: transforms (List[Transform]): list of transforms to compose. Example: >>> augme
utils/augmentations.py:44
↓ 3 callersClassDeepHeadModule
face_ssd.py:490
↓ 3 callersClassL2Norm
layers/modules/l2norm.py:9
↓ 2 callersClassConvertColor
utils/augmentations.py:163
↓ 2 callersClassConvertFromInts
utils/augmentations.py:75
↓ 2 callersClassPhotometricDistort
utils/augmentations.py:510
↓ 2 callersClassRandomContrast
utils/augmentations.py:178
↓ 2 callersClassRandomMirror
utils/augmentations.py:474
↓ 2 callersClassResize
utils/augmentations.py:112
↓ 2 callersClassSubtractMeans
utils/augmentations.py:80
↓ 2 callersClassTestBaseTransform
data/__init__.py:61
↓ 2 callersClassToAbsoluteCoords
utils/augmentations.py:90
↓ 2 callersClassToPercentCoords
utils/augmentations.py:101
↓ 2 callersClassWIDERFaceAnnotationTransform
Transforms a WIDERFace annotation into a Tensor of bbox coords and label index Initilized with a dictionary lookup of classnames to indexes A
data/widerface.py:28
↓ 1 callersClassCOCOAnnotationTransform
Transforms a COCO annotation into a Tensor of bbox coords and label index Initilized with a dictionary lookup of classnames to indexes
data/coco.py:48
↓ 1 callersClassDetNet
model/detnet_backbone.py:113
↓ 1 callersClassDetect
At test time, Detect is the final layer of SSD. Decode location preds, apply non-maximum suppression to location predictions based on conf sc
layers/functions/detection.py:13
↓ 1 callersClassPriorBox
Compute priorbox coordinates in center-offset form for each source feature map.
layers/functions/prior_box.py:10
↓ 1 callersClassRandomBaiduCrop
Crop Arguments: img (Image): the image being input during training boxes (Tensor): the original bounding boxes in pt form
utils/augmentations.py:321
↓ 1 callersClassRandomBrightness
utils/augmentations.py:193
↓ 1 callersClassRandomCrop
utils/augmentations.py:535
↓ 1 callersClassRandomHue
utils/augmentations.py:136
↓ 1 callersClassRandomLightingNoise
utils/augmentations.py:149
↓ 1 callersClassRandomSaturation
utils/augmentations.py:122
↓ 1 callersClassSSD
Single Shot Multibox Architecture The network is composed of a base VGG network followed by the added multibox conv layers. Each multibox lay
face_ssd.py:48
↓ 1 callersClassSwapChannels
Transforms a tensorized image by swapping the channels in the order specified in the swap tuple. Args: swaps (int triple): final orde
utils/augmentations.py:484
↓ 1 callersClassVOCAnnotationTransform
Transforms a VOC annotation into a Tensor of bbox coords and label index Initilized with a dictionary lookup of classnames to indexes Argumen
data/voc0712.py:37
↓ 1 callersClassWIDERFaceDetection
WIDERFace Detection Dataset Object http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/ input is image, target is annotation Arguments:
data/widerface.py:91
ClassBaseTransform
data/__init__.py:44
ClassBasicBlock
model/resnet.py:33
ClassBottleneck
model/resnet.py:65
ClassBottleneckA
model/detnet_backbone.py:14
ClassBottleneckB
model/detnet_backbone.py:62
ClassCOCODetection
`MS Coco Detection <http://mscoco.org/dataset/#detections-challenge2016>`_ Dataset. Args: root (string): Root directory where images are d
data/coco.py:81
ClassExpand
utils/augmentations.py:446
ClassLambda
Applies a lambda as a transform.
utils/augmentations.py:64
ClassMultiBoxLoss
SSD Weighted Loss Function Compute Targets: 1) Produce Confidence Target Indices by matching ground truth boxes with (default)
layers/modules/multibox_loss.py:22
ClassRandomSampleCrop
Crop Arguments: img (Image): the image being input during training boxes (Tensor): the original bounding boxes in pt form
utils/augmentations.py:216
ClassSSDAugmentation
utils/augmentations.py:635
ClassToCV2Image
utils/augmentations.py:206
ClassToTensor
utils/augmentations.py:211
ClassVOCDetection
VOC Detection Dataset Object input is image, target is annotation Arguments: root (string): filepath to VOCdevkit folder. im
data/voc0712.py:86
Class_FPN
FPN
model/fpn.py:24
ClassfocalLoss
layers/modules/multibox_loss.py:208
Classresnet
model/resnet.py:217