Computer Vision

Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.

Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Open Source Differentiable Computer Vision Library for PyTorch

Low level implementations for computer vision in Rust

A set of easy-to-use utils that will come in handy in any Computer Vision project

High-performance image processing functions for deep learning and computer vision.

Basic face library

Collection of common code shared among different research projects in FAIR computer vision team

QUick and DIrty Domain Adaptation

A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much more easier with OpenCV and both Python 2.7 and Python 3.

Image augmentation library for deep neural networks

Video scene cut/shot detection program and Python library.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration

Open Source Image and Video Super-Resolution Toolbox

The Rerun Logging SDK

FiftyOne: the open-source tool for building high-quality datasets and computer vision models

Microsoft Azure Cognitive Services Computer Vision Client Library for Python

OpenMMLab Detection Toolbox and Benchmark

A toolkit for making real world machine learning and data analysis applications

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration

Light Weight Toolkit for Bounding Boxes

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.

OpenMMLab Computer Vision Foundation

Open MMLab Semantic Segmentation Toolbox and Benchmark

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.

OpenMMLab Computer Vision Foundation

SuperGradients

Industry-strength computer Vision extensions for Keras.

Ultralytics HUB Client SDK.

OpenMMLab Model Pretraining Toolbox and Benchmark

Provides spatial maths capability for Python.

Savant Rust core functions library

OpenMMLab Image Classification Toolbox and Benchmark

Pymba is a Python wrapper for Allied Vision's Vimba C API.

A toolkit for making real world machine learning and data analysis applications

Catalyst. Accelerated deep learning R&D with PyTorch.

Mahotas: Computer Vision Library

Different ways of visualizing objects given bounding box data

Transform, analyze, and visualize computer vision annotations.

The realtime communication library for Python

RF100-VL Dataset Interface

Automation with Computer Vision for Python

OpenMMLab Pose Estimation Toolbox and Benchmark.

OpenMMLab's next-generation platformfor general 3D object detection.

TorchSeg: Semantic Segmentation models for PyTorch

AI2-THOR: A Near Photo-Realistic Interactable Framework for Embodied AI Agents

High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.