face-anti-spoofer:基于深度学习的面部防欺骗

[{"title":"（ 51 个子文件 22.44MB ） face-anti-spoofer:基于深度学习的面部防欺骗","children":[{"title":"face-anti-spoofer-master","children":[{"title":".gitmodules <span style='color:#111;'> 276B </span>","children":null,"spread":false},{"title":"models","children":[{"title":"ensemble.py <span style='color:#111;'> 882B </span>","children":null,"spread":false},{"title":"feathernet.py <span style='color:#111;'> 349B </span>","children":null,"spread":false},{"title":"simple_block.py <span style='color:#111;'> 834B </span>","children":null,"spread":false},{"title":"resnet18_dropout.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"fishnet.py <span style='color:#111;'> 9.48KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 622B </span>","children":null,"spread":false},{"title":"resnet18_5ch.py <span style='color:#111;'> 222B </span>","children":null,"spread":false},{"title":"mobilelitenet.py <span style='color:#111;'> 450B </span>","children":null,"spread":false},{"title":"blocks","children":[{"title":"conv_bn.py <span style='color:#111;'> 389B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 243B </span>","children":null,"spread":false},{"title":"bottleneck.py <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"inverted_residual.py <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"selayer.py <span style='color:#111;'> 634B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"misc","children":[{"title":"out.gif <span style='color:#111;'> 22.54MB </span>","children":null,"spread":false}],"spread":true},{"title":"transforms.py <span style='color:#111;'> 955B </span>","children":null,"spread":false},{"title":"baseline","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"submit.py <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 3.46KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"realsense_demo.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"optimizers.py <span style='color:#111;'> 26B </span>","children":null,"spread":false},{"title":"realsense","children":[{"title":"RealSenseEvaluator.py <span style='color:#111;'> 7.21KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 56B </span>","children":null,"spread":false},{"title":"capture.py <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false}],"spread":true},{"title":"find_lr.py <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"face_segmentation","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"losses.py <span style='color:#111;'> 518B </span>","children":null,"spread":false},{"title":"configs","children":[{"title":"FeatherNet","children":[{"title":"FeatherNetA_5ch_FL.yaml <span style='color:#111;'> 145B </span>","children":null,"spread":false},{"title":"FeatherNetA_CE.yaml <span style='color:#111;'> 150B </span>","children":null,"spread":false},{"title":"FeatherNetA_FL.yaml <span style='color:#111;'> 143B </span>","children":null,"spread":false},{"title":"FeatherNetA_4ch_FL.yaml <span style='color:#111;'> 146B </span>","children":null,"spread":false},{"title":"FeatherNetA_4ch_CE.yaml <span style='color:#111;'> 153B </span>","children":null,"spread":false},{"title":"FeatherNetA_5ch_CE.yaml <span style='color:#111;'> 152B </span>","children":null,"spread":false}],"spread":false},{"title":"ResNet","children":[{"title":"ResNet18_dropout_FL.yaml <span style='color:#111;'> 148B </span>","children":null,"spread":false},{"title":"ResNet18_dropout_5ch_CE.yaml <span style='color:#111;'> 153B </span>","children":null,"spread":false},{"title":"ResNet18_dropout_CE.yaml <span style='color:#111;'> 155B </span>","children":null,"spread":false},{"title":"ResNet18_dropout_5ch_FL.yaml <span style='color:#111;'> 146B </span>","children":null,"spread":false},{"title":"ResNet18_5ch_FL.yaml <span style='color:#111;'> 142B </span>","children":null,"spread":false},{"title":"ResNet18_CE.yaml <span style='color:#111;'> 147B </span>","children":null,"spread":false},{"title":"ResNet18_5ch_CE.yaml <span style='color:#111;'> 149B </span>","children":null,"spread":false},{"title":"ResNet18_FL.yaml <span style='color:#111;'> 140B </span>","children":null,"spread":false}],"spread":false},{"title":"MobileLiteNet","children":[{"title":"MobileLiteNet_FL.yaml <span style='color:#111;'> 147B </span>","children":null,"spread":false},{"title":"MobileLiteNet_5ch_FL.yaml <span style='color:#111;'> 149B </span>","children":null,"spread":false},{"title":"MobileLiteNet_4ch_FL.yaml <span style='color:#111;'> 150B </span>","children":null,"spread":false},{"title":"MobileLiteNet_5ch_CE.yaml <span style='color:#111;'> 156B </span>","children":null,"spread":false},{"title":"MobileLiteNet_CE.yaml <span style='color:#111;'> 154B </span>","children":null,"spread":false},{"title":"MobileLiteNet_4ch_CE.yaml <span style='color:#111;'> 157B </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"requirements.txt <span style='color:#111;'> 202B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 832B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]