Types & classes — github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

CodeHub MCPcopy Create free account

hub / github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 / types & classes

Types & classes20 in github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

⨍ Functions 153◇ Types & classes 20 ↳ Endpoints 2

↓ 7 callersClassAverageMeter

Computes and stores the average and current value

↓ 6 callersClassMobileLiteNet

models/MobileLiteNet.py:64

↓ 4 callersClassSELayer

models/MobileLiteNet.py:8

↓ 2 callersClassCASIA

read_data.py:40

↓ 2 callersClassFeatherNet

models/FeatherNet.py:85

↓ 2 callersClassStatNode

tools/benchmark/stat_tree.py:42

↓ 1 callersClassColorAugmentation

utils/data_aug.py:4

↓ 1 callersClassFish

models/fishnet.py:16

↓ 1 callersClassFishNet

models/fishnet.py:187

↓ 1 callersClassFocalLoss

r""" This criterion is a implemenation of Focal Loss, which is proposed in Focal Loss for Dense Object Detection.

↓ 1 callersClassMobileNetV2

models/mobilenetv2.py:63

↓ 1 callersClassModelHook

tools/benchmark/model_hook.py:12

↓ 1 callersClassModelStat

tools/benchmark/statistics.py:51

↓ 1 callersClassSELayer

models/FeatherNet.py:23

↓ 1 callersClassStatTree

tools/benchmark/stat_tree.py:4

ClassBottleneck

models/fish_block.py:4

ClassInvertedResidual

models/FeatherNet.py:40

ClassInvertedResidual

models/MobileLiteNet.py:26

ClassInvertedResidual

models/mobilenetv2.py:22

ClassTalyorCrossEntroyLoss