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

A treasure chest for visual classification and recognition powered by PaddlePaddle

A PyTorch Implementation of Single Shot MultiBox Detector

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

『밑바닥부터 시작하는 딥러닝 1(리마스터판)』(한빛미디어, 2025)

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Descriptive Deep Learning

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.

Deep Learning Computer Vision Algorithms for Real-World Use

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Detects license plate of car and recognizes its characters

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

🍰🍎ColugoMum: Intelligent Retail Settlement Platform can accurately locate and identify each commodity, and can return a complete shopping list and the actual total price of commodities that customers should pay.

A wrapper around opencv2 and pyautogui to do image searching easily.