├── README.md ├── Results of 5-folds cross validations.png ├── Results of the split of 60% training and 40% testing.png ├── SCUT FPB 5500-Facial Landmarks 86.png ├── SCUT-FBP5500.jpg ├── data ├── 1 │ ├── 256_train_mean.binaryproto │ ├── test_1.txt │ └── train_1.txt ├── 2 │ ├── test_2.txt │ └── train_2.txt ├── 3 │ ├── test_3.txt │ └── train_3.txt ├── 4 │ ├── test_4.txt │ └── train_4.txt ├── 5 │ ├── test_5.txt │ └── train_5.txt └── creat_mean.sh ├── pts2txt.py ├── trained_models_for_caffe ├── alexnet_deploy.prototxt ├── forward.py ├── models │ └── readme ├── resnet18_deploy.prototxt └── resnext50_deploy.prototxt └── trained_models_for_pytorch ├── Nets.py ├── Nets.pyc ├── forward.py └── models └── readme /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HCIILAB/SCUT-FBP5500-Database-Release/HEAD/README.md -------------------------------------------------------------------------------- /Results of 5-folds cross 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