Open Source Computer Vision Library
- opencv
- c-plus-plus
- computer-vision
- deep-learning
47,133 repositories indexed
1–24 of 47 · Most stars
Open Source Computer Vision Library
We write your reusable computer vision tools. 💜
Cross-platform, customizable ML solutions for live and streaming media.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
See, hear, and interact on your local devices.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
Datasets, Transforms and Models specific to Computer Vision
Janus-Series: Unified Multimodal Understanding and Generation Models
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Pretrained models for TensorFlow.js
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
PyTorch code and models for the DINOv2 self-supervised learning method.
COLMAP - Structure-from-Motion and Multi-View Stereo
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The repository host gives no description.
🐍 Geometric Computer Vision Library for Spatial AI
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A collaboration friendly studio for NeRFs
Reference PyTorch implementation and models for DINOv3