lihyin,github

ai-pothole-detection-using-yolo-1

YOLO: Real-Time Object Detection

attention3dhumanpose

The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

automatic-portrait-tf

TensorFlow implementation of Automatic Portrait Segmentation

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

background-matting

Background Matting: The World is Your Green Screen

This repository contains code and trained models for our submission to the IEEE BigData Cup 2018 and the related paper 'Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN'

bootcamp-master-python-mle

bottleneck-invertedresidual-fusedmbconv-in-pytorch

A little walk-trough different types of the block with their corresponding implementation in PyTorch

carnd-semantic-segmentation

cgd

A PyTorch implementation of CGD based on the paper "Combination of Multiple Global Descriptors for Image Retrieval"

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

codelabs

Flutter codelab examples

coechatbot

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

crosshatch

Test app to design and build crosshatch patterns

cs231n-2019

Notes and assignment solution to http://cs231n.stanford.edu

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

deep-image-matting

This is tensorflow implementation for paper "Deep Image Matting"

deep-learning-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

differnet

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.