wf1024966,github

pytorch_convnd

Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

pytorch_generalized_3d_lane_detection

PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'

pytorch_retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

qanet

Quality-Aware Network

questformachinelearning-camp

深度之眼《百面机器学习》训练营

realtime-handgesture-recognition

A GUI application that detects digits from hand gesture in real time.

repvgg

repvgg-1

RepVGG: Making VGG-style ConvNets Great Again

retinaface

The remake of the https://github.com/biubug6/Pytorch_Retinaface

rim

The official repo for the paper "Referring Image Matting".

rknpu

road-crack-detection

Detect pavement crack

road-lane-dectect

车道线检测和距离提醒

road_garbage

roaddamagedetection-deeplearning

It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and Convolutional Neural Networks (CNN), one of the most popular types of deep neural networks, are used. The TensorFlow library is trained through the Ssd Inception V2 Coco pre-trained model to detect damage to images. As a result of the tests and trainings, the closest determinations are 86%. In order to increase the accuracy of the training, the use of GPU, the magnification of the data set and the number of iterations were considered.