Computer Vision
Datasets, Transforms and Models specific to Computer Vision
We write your reusable computer vision tools. 💜
LAVIS - A One-stop Library for Language-Vision Intelligence
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
An open source library and framework for deep learning on satellite and aerial imagery.
A full-body keyboard using gestures to type through computer vision
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
GIT: A Generative Image-to-text Transformer for Vision and Language
VisualGPT, CVPR 2022 Proceeding, GPT as a decoder for vision-language models
Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral
Inference Vision Transformer (ViT) in plain C/C++ with ggml
This is the official repository for M2UGen
CLIP inference in plain C/C++ with no extra dependencies
Tesseract Open Source OCR Engine (main repository)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.
This repository aims to implement an Image Search engine powered by the CLIP model.
LLaVA-JP is a Japanese VLM trained by LLaVA method
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Fine-tune Segment-Anything Model with Lightning Fabric.
A SAM-based model for instance segmentation of images of grains
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
Webassembly compilation of https://github.com/ImageMagick/ImageMagick & samples