Stars
deep learning for image processing including classification and object-detection etc.
Simple pipeline to get started with video classification and action recognition
Authors official PyTorch implementation of the "DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval" [IJCV 2022]
[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
an implement of 2DFAN4 facial landmarker algorithm with tensorflow 2.0
tensorflow GoogleNet inception V1 V2 V3 V4
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
face-detection based on MTCNN and TensorFlow