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zuoshiyang's Projects

2018aicity_teamuw icon 2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

auto_maker icon auto_maker

Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

autorccar icon autorccar

OpenCV Python Neural Network Autonomous RC Car

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_yolov3 icon deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

garbage_classify icon garbage_classify

本文新增添分类,检测,换脸技术等学习教程,各种调参技巧和tricks,卷积结构详细解析可视化,注意力机制代码等详解!本次垃圾分类挑战杯,目的在于构建基于深度学习技术的图像分类模型,实现垃圾图片类别的精准识别,大赛参考深圳垃圾分类标准,按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略,后续还会继续更新新的分类技巧。

gazeml icon gazeml

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

gazetracking icon gazetracking

👀 Eye Tracking library easily implementable to your projects

image-downloader icon image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lane-line-detection icon lane-line-detection

Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.

ldws icon ldws

Lane departure warning system using python and opencv

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