ygean

SE_DenseNet

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" , I support this repository to implement training on own dataset, and also providing densenet as feature extractor network.

KiwiSurfaceDefectInspection

基于数字图像处理开发的猕猴桃水果表面缺陷检测程序，搭配串口通信，与单片机进行通信，配合硬件设备的运行

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

K-Means-Anchors

quad-nms-cpu

Use c++ clipper to implement quadrilateral or polygon NMS.

mixed-senet-densenet

In this repository, I released senet-densenet training codes and output files. And it refer to another repository(https://github.com/zhouyuangan/SE_DenseNet), which repository I had made some notes in.

pybind11-Scene-Text-Image-Transformation

Implement 'Image deformation using moving least squares' with pybind11 and python3 and opencv2

zhouyuangan.github.io

gan-lang

Writing an Interpreter

PixArt-alpha

Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis