Open-source work, mostly computer vision and mostly faces. The pattern across all of it is the same: take a model that works in a paper or a closed SDK, reimplement it cleanly, verify it against the original, and ship it as something you can pip install and run on CPU.

Face Parsing

GitHub stars for Face Parsing

Real-time facial semantic segmentation with BiSeNet

Per-region face masks across 19 classes, with ResNet-18 and ResNet-34 backbones. Training code, evaluation, and ONNX export included.

Gaze Estimation

GitHub stars for Gaze Estimation

Lightweight gaze direction with MobileOne

Pitch and yaw gaze estimation trained on Gaze360, with ResNet, MobileNet and MobileOne backbones for edge deployment.

More on GitHub, including smaller tools, tutorials, and dataset utilities.