The Best 499 Computer vision Libraries

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500 AI Machine learning Deep learning Computer vision NLP Projects with code

Best Practices, code samples, and documentation for Computer Vision.

In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A…

Computer Vision and Robotics Library for AI

Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epi…

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

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. What…

We write your reusable computer vision tools. 💜

Easily switch inference pipeline between supported object detection/instance segmentation models Image annotation Load object detection/instance segmentation datasets in one of the supported formats …

The open-source tool for building high-quality datasets and computer vision models

Nothing hinders the success of machine learning systems more than poor quality data. And without the right tools, improving a model can be time-consuming and inefficient. Use FiftyOne to get hands-o…

Deep Learning toolkit for Computer Vision.

Luminoth currently supports Python 2.7 and 3.4–3.6. Just install from PyPI: Currently, we support the following models: and a list of available options with descriptions will show up. We strive to ge…

A full-body keyboard using gestures to type through computer vision

Running on latest MacOS from Terminal, toggle the following for keyboard access: System Settings -> Privacy & Security -> Accessibility -> Terminal -> slide to allow

Open source Python module for computer vision

PCV is a pure Python library for computer vision based on the book "Programming Computer Vision with Python" by Jan Erik Solem. You need to have Python 2.6+ and as a minimum: Some parts use: Many sec…

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

To get a local copy up and running follow these steps. The following steps describe how to install CV-CUDA from pre-built install packages. Choose the installation method that meets your environment …

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

DeepCamera empowers your traditional surveillance cameras and CCTV/NVR with machine learning technologies. It provides open source facial recognition based intrusion detection, fall detection and pa…

Modern columnar data format for ML implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: The key features of Lance include: Download the sift1m subset Convert it to Lance Build …

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

There are three lectures and one final project for this class. Lecture 1 Lecture 2 Lecture 3

ChainerCV: a Library for Deep Learning in Computer Vision

Supported tasks: ChainerCV is developed under the following three guiding principles. For additional features Environments under Python 2.7.12 and 3.6.0 are tested. If ChainerCV helps your research, …

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to…

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Data curation/cleaning with auto-fix Access to an exploratory data analysis dashboard Pluggable transforms for better model generalization Access to hundreds of neural net models Access to multiple t…

Computer Vision in Python

Mahotas is a library of fast computer vision algorithms (all implemented in C++ for speed) operating over numpy arrays. Python versions 2.7, 3.4+, are supported. Notable algorithms: Mahotas currently…

A simple, high level, easy to use, open source Computer Vision library for Python.

A simple, high level, easy-to-use open source Computer Vision library for Python. Provided the below python packages are installed, cvlib is completely pip installable. If you don't have them already…

Build fully-functioning computer vision models with PyTorch

Detecto is a Python package that allows you to build fully-functioning computer vision and object detection models with just 5 lines of code. Inference on still images and videos, transfer learning o…

A python phishing script for login phishing, image phishing video phishing and many more

If not found, php, ssh and python modoules will be installed on first run

An easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

Check out Inference running on a video of a football game: Inference provides a scalable method through which you can manage inferences for your vision projects. Inference is backed by: A server, so …

Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition

Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in th…

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

So, all Tools are divided into 2 parts by wether the tool is general used: There are 3 methods to run or view this Notebook file Just view the Tutorial Notebook. Examples are divided into 2 parts too…

Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task

Every company wants to be sure that its current and future AI tasks are solvable. The main issue with most solutions on the market is that they build as products. It's a black box developing by some …

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

Python implementation of image matting method proposed in A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (…

Computer-Vision-Basics-with-Python-Keras-and-OpenCV

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

For Miniconda, open terminal and navigate to the directory you downloaded Miniconda3-latest-MacOSX-x86_64.sh to and run: For Anaconda, double click the Anaconda3-5.0.1-MacOSX-x86_64.pkg file you down…

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

A framework and CLI tool to build, transform, and analyze datasets. Dataset reading, writing, conversion in any direction. Dataset building Dataset quality checking Dataset comparison Dataset statist…

Deep Learning Computer Vision Algorithms for Real-World Use

We provide here a suite of deep learning computer vision algorithms that are ready for real-world use: Anson Wong

A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

This project is made for the third year second semester System Development (CSE-3200) course. The increasing number of cars in cities can cause high volume of traffic, and implies that traffic violat…

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.