If you have questions, please create an issue. Polishing this repo is on my TODO list, but it's not a priority.
- Facetracking: Face Alignment through Subspace Constrained Mean-Shifts (Saragih et al.) (2009)
- FCNs: Fully Convolutional Networks for Semantic Segmentation (Shelhamer et al.) (2014, updated 2016)
- Portrait segmentation: Automatic Portrait Segmentation for Image Stylization (Shen et al.) (2016)
- FaceTracker (Kyle McDonald)
- PyTorch train-valid-test split DataLoaders (kevinzakka)
- PyTorch FCN implementations (Kentaro Wada)
- Flickr portrait-mask dataset from Shen et al. 2016 (mirror provided by timbe16)
- Weights for PyTorch FCN8s implementation (provided by Kentaro Wada) (includes VGG16 ImageNet weights implicitly)
- PyTorch - Using Datasets and DataLoaders
- PyTorch - Defining Datasets
- Fast.ai - Deep learning course for coders
In general: Anything I've created here is under MIT. Anything others have created is under various licenses.