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garbage_classify

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。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。

gitextensions

Git Extensions is a standalone UI tool for managing git repositories. It also integrates with Windows Explorer and Microsoft Visual Studio (2015/2017/2019).

hwcc_image_classification

本赛题任务是对西安的热门景点、美食、特产、民俗、工艺品等图片进行分类，即首先识别出图片中物品的类别（比如大雁塔、肉夹馍等），然后根据图片分类的规则，输出该图片中物品属于景点、美食、特产、民俗和工艺品中的哪一种。

hyperfas

静默活体检测 Silent Face Anti-Spoofing Attack Detection

hyperlandmark

Deep Learning Based Free Mobile Real-Time Face Landmark Detector.

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

hyperlpr-training

车牌识别训练代码 Training Tools Related to HyperLPR

hypervid

开源移动端车型识别 Mobile Plateform Vehicle Identification Model

idcardgenerator

身份证图片生成工具 generate an id card picture

image-freehand

用Python实现图像的手绘化

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

image-style-transfor

照片风格转换 项目主要参考Anish Athalye的Github项目 该项目是基于TensorFlow进行的视频图像转化，参考neural style这篇文章。

image-super-resolution

Implementation of Super Resolution CNN in Keras.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

keras_captcha

用卷积神经网络进行图像验证码的识别

keras_frcnn

Keras Implementation of faster-rcnn

logodet-3k-dataset

master-mmocr

Re-implementation of MASTER by mmocr

master-pytorch

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

mobilenet-ssd-license-plate-detection

基于mobilenet-ssd车牌检测,全新模型仅3.4MB.

my_orc_keras_verification_code_identification

本项目实现了ocr主流算法gru/lstm+ctc+cnn架构，进行不定长度验证码识别，达到不分割字符而识别验证码内容的效果。验证码内容包含了大小字母以及数字，并增加点、线、颜色、位置、字体等干扰项。本项目对gru +ctc+cnn、lstm+ctc+cnn、cnn三种架构进行了对比，实践说明同等训练下gru/lstm+ctc+cnn架构准确率和速度均明显优于cnn架构，gru +ctc+cnn优于lstm+ctc+cnn，在实验2500个样本数据200轮训练时，gru +ctc+cnn架构在500样本测试准确率达90.2%。本项目技术能够训练长序列的ocr识别，更换数据集和相关调整，即可用于比如身份证号码、车牌、手机号、邮编等识别任务，也可用于汉字识别。

nerual_style_change

使用VGG19迁移学习实现图像风格迁移。

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

ocr_tdr

好未来Feature Camp:中文手写汉字识别

paddle-image-models

A PaddlePaddle version image model zoo.

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

paddledetection_yoloseries

🚀🚀🚀 YOLOSeries of PaddleDetection implementation, PPYOLOE, YOLOX, YOLOv7, YOLOv5, MT-YOLOv6 and so on. 🚀🚀🚀

paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.（180+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）