Python package utils for computer vision
AI-powered library for extracting engineering data from PDF and image-based technical drawings, automating key detail retrieval for manufacturing workflows.
OpenMMLab Video Understanding Toolbox and Benchmark
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
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.
Fast symbolic computation, code generation, and nonlinear optimization for robotics
FFCV: Fast Forward Computer Vision
OpenMMLab Model Deployment SDK python api
Visiongraph is a high level computer vision framework.
Build computer vision systems using natural language with Groundlight
Computer vision software for the interpretation of diffraction images
A library for computer vision and machine learning
Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.
Transform, analyze, and visualize computer vision annotations.
equirectangular image processing with python using minimum dependencies
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Savant Rust core functions library
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.
Python utilities for computer vision
Differentiable rendering without approximation.
OpenMMLab Unified Video Perception Platform
AI Data Infrastructure: Declarative, Multimodal, and Incremental
OpenMMLab Model Deployment SDK python api
doc2text drastically improves the extraction of text from images by fixing resolution, text area (crop), and skew.
A low-code tool to help create your own AI
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A versatile augmentation library for computer vision projects.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations.
Viewing and rendering of sequences of 3D data.
Computer vision toolkit based on TensorFlow
moduler multi purpose video player for debugging algorithms in python
This package provides a Python Toolbox with a set of functions to assist in the management of Robot@Home2 Dataset
OpenVINO™ Training Extensions: Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings.
Binaexperts SDK, a comprehensive computer vision toolkit
OpenMMLab Computer Vision Foundation
Video Stabilization using OpenCV
Native aimage library wrapper for internal use.
Ikomia Python API for Computer Vision workflow and plugin integration in Ikomia Studio
Helper package for UC3M PIC course
A computer vision library that supports Win, packaged with patches for visual libraries such as Opencv, matplotlib, and image. In the future, Pytorch will also be supported, all of which are personal (Auorui) engineering code experience.
Lightweight utility package for common computer vision tasks.
ML/DL tools function library
MareArts ANPR (Automatic Number Plate Recognition) library
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Rotation Detection Toolbox and Benchmark