Computer Vision

OpenMMLab Model Deployment

Skeletonize densely labeled image volumes.

Computer Vision Helping Library

differential geometric computer vision for deep learning

Easily turn a set of image urls to an image dataset

This is the module for detecting and classifying text on rama pictures

An open source framework for deep learning on satellite and aerial imagery

Extracting image features from state-of-the-art neural networks for Computer Vision made easy

Savant Rust core functions library

cuCIM - an extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging.

A super-fast Python implementation of seam carving algorithm for intelligent image resizing.

Computer vision models for PyTorch

The main rastervision package for configuring, defining, and running pipelines

A rastervision plugin that adds geospatial machine learning pipelines

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

A rastervision plugin that adds PyTorch training pipelines

A rastervision plugin that adds PyTorch backends for rastervision.core pipelines

A rastervision plugin that adds an AWS Batch pipeline runner

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

A rastervision plugin that adds an AWS S3 file system

AI-Powered Command-Line Photo Search Tool

Industry-strength computer Vision extensions for Keras.

Logging/Debugging/Tracing/Managing/Facilitating long running python projects, especially a replacement of tensorboard for deep learning projects

Extract tables from PDFs

cuCIM - an extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging.

A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly.

A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.

OpenMMLab Computer Vision Foundation

Onnx Text Recognition (OnnxTR): docTR Onnx-Wrapper for high-performance OCR on documents.

Savant Rust core functions library

Easily computing clip embeddings and building a clip retrieval system with them

Build computer vision systems using natural language with Groundlight

Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/keras_cv_attention_models

🔥LIT: The Learning Interpretability Tool

A free and open source markerless motion capture system for everyone 💀✨

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.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Differentiable rendering without approximation.

equirectangular image processing with python using minimum dependencies

DataGradients

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.

OpenVINO™ Training Extensions: Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

OpenMMLab Toolbox of YOLO

PlantCV: Plant phenotyping with computer vision

Top-level package for skellycam.

Vid2Info is an easy-to-use Computer Vision pipeline that implements Detection, Tracking and, optionally, Segmentation.

A cross-platform High-performance & Flexible Real-time Video Frames Decoder in Python.

Conversions between kornia and other computer vision libraries formats

Natural Robustness Toolkit (NRTK) is a platform for generating validated, sensor-specific perturbations and transformations used to evaluate the robustness of computer vision models.

AI Data Infrastructure: Declarative, Multimodal, and Incremental