Pinned Repositories
16spr_gonzales_hoffman
Machine Learning 2016 Spring, Class project repo for Aaron Gonzales and Steven Hoffman
CenterLoss
CenterNet-better
An easy to understand and better performance version of CenterNet
Computer-Vision-with-OpenCV-3-and-Qt5
Computer Vision with OpenCV 3 and Qt5, published by Packt
concise-GOTURN
concise implementation of GOTURN,Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks
draw_convnet
Face-Yaw-Roll-Pitch-from-Pose-Estimation-using-OpenCV
This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)
face_recognition
The world's simplest facial recognition api for Python and the command line
InsightFace_TF
Insight Face on TensorFlow
MDNet
MWL5's Repositories
MWL5/Computer-Vision-with-OpenCV-3-and-Qt5
Computer Vision with OpenCV 3 and Qt5, published by Packt
MWL5/16spr_gonzales_hoffman
Machine Learning 2016 Spring, Class project repo for Aaron Gonzales and Steven Hoffman
MWL5/CenterLoss
MWL5/CenterNet-better
An easy to understand and better performance version of CenterNet
MWL5/concise-GOTURN
concise implementation of GOTURN,Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks
MWL5/draw_convnet
MWL5/Face-Yaw-Roll-Pitch-from-Pose-Estimation-using-OpenCV
This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)
MWL5/face_recognition
The world's simplest facial recognition api for Python and the command line
MWL5/InsightFace_TF
Insight Face on TensorFlow
MWL5/MDNet
MWL5/mtcnn
MTCNN face detection implementation for TensorFlow, as a PIP package.
MWL5/mtcnn-caffe
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
MWL5/siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
MWL5/tracker_benchmark
MWL5/weekly-tech-salon
MWL5/YOLOv3
Keras implementation of yolo v3 object detection.