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Yangchun W's Projects

open_nsfw icon open_nsfw

code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models

openbr icon openbr

Open Source Biometrics, Face Recognition

opencv icon opencv

Open Source Computer Vision Library

openface icon openface

Face recognition with deep neural networks.

openface-1 icon openface-1

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openface_mass_compare icon openface_mass_compare

An openface script that runs a REST server. Posted images are compared against a large dataset, and the most likely match is returned. Works with https://hub.docker.com/r/uoacer/openface-mass-compare/

painregression icon painregression

Transferring Face Verification Nets To Pain and Expression Regression

pcn-facedetection-facealignment icon pcn-facedetection-facealignment

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyseeta icon pyseeta

python api for SeetaFaceEngine(https://github.com/seetaface/SeetaFaceEngine.git)

realtimehyperface icon realtimehyperface

A neural network architecture for realtime simultaneous face detection, landmark localization, pose estimation and gender recognition.

sar_tf icon sar_tf

This is an implementation of Show, Attend and Read with tensorflow

scenetextpapers icon scenetextpapers

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized

selfexsr icon selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

siamese_net icon siamese_net

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

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