FSA-Net is a CVPR 2019 neural network that estimates head pose from a single image by learning fine-grained structure aggregation of facial features. Implemented in TensorFlow and Keras, it achieves state-of-the-art results on benchmarks such as AFLW2000. The repository includes webcam demo code using SSD face detection for real-time inference.