image-recognition

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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

Code examples for new APIs of iOS 10.

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.

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.

C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"

Notes for Fastai Deep Learning Course

RMT (RuoMengTu) is a free, open-source macro tool built on AHKv2. Let the code handle the tedious work—you have more meaningful things to do.

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

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Descriptive Deep Learning

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.

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

:camera: Point your camera at things to learn how to say them in a different language. Android app built with React Native.