ruofei7,Ruofei,github

2020-uodac-kg

水下目标检测算法赛声学图像赛项第15名代码 (15th Code for Underwater Object Detection Algorithm Competition Sonar Track )

cpn-pytorch

A Pytorch implementation of "Cascaded Pyramid Network for Multi-Person Pose Estimation"

flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam)

gazefollowing

Code for ACCV2018 paper 'Believe It or Not, We Know What You Are Looking at!'

head_body_detection_yolov3

I used crowd human to train the a head and body detectors using crowdhuman dataset

img2pose

The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

mmdetection

OpenMMLab Detection Toolbox and Benchmark

This project is mainly to complete the palmprint feature extraction and classification tasks. The data set contains 99 people's palm print pictures, in which 3 palm print pictures of each person are distributed in the training set, and the other 3 palm print pictures are distributed in the test set. In this project, I tried the traditional method use SIFT to extract features and KNN for classification which get accuracy of 97.31%, and also tried the convolutional neural network method such as ResNet which get accuracy of 83.16%. In addition, I also tried to use the Gaussian filter, Gabor filter, LBP, etc. to process the palmprint image and extract the texture from the palmprint image, but these methods have not improved the accuracy of palmprint recognition.