winroot's repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Age-Gender-Estimate-TF
Face age and gender estimate using TensorFlow
boxx
Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.
CosFace
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
deep-person-reid
Pytorch implementation of deep person re-identification models.
DeepVideoAnalytics
A distributed visual search and visual data analytics platform.
face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
face_login
利用facenet进行人脸特征提取，保存入mysql，后期可进行比对进行人脸登陆
face_recognition
The world's simplest facial recognition api for Python and the command line
facenet
Face recognition using Tensorflow
facenet_caffe
face recognition
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
insightface
Face Recognition Project on MXNet
kownledges
kownledges of all
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mxnet-serving
mxnet model serving study
ncappzoo
Contains examples for the Movidius Neural Compute Stick.
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Optical-Flow-Guided-Feature-1
Implementation Code for OFF
PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
refined-github
Browser extension that simplifies the GitHub interface and adds useful features
st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
Video-Person-ReID
Video-based Person ReID Method Implementations on MARS
VS-ReID
Video Object Segmentation with Re-identification
xlearn
High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)
YOLOv3-Based-Face-Detection-Tracking
This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen. Main algorithm is Yolov3, trained on WIDER FACE and tested on FDDB benchmark. Extremely fine performance!