Open Source Computer Vision Library
- opencv
- c-plus-plus
- computer-vision
- deep-learning
47,133 repositories indexed
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Open Source Computer Vision Library
We write your reusable computer vision tools. 💜
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Rembg is a tool to remove images background
pix2tex: Using a ViT to convert images of equations into LaTeX code.
🐍 Geometric Computer Vision Library for Spatial AI
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Content aware image resize library
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Accelerated deep learning R&D
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
Open scientific N-dimensional image processing :microscope: :sparkler:
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
GRASS - free and open-source geospatial processing engine
Public domain software for processing and analyzing scientific images
Tools for computational pathology
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Awesome list of software that I use to do research in medical imaging.
Materials for GWU DNSC 6279 and DNSC 6290.
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
PyTorch Connectomics: segmentation toolbox for EM connectomics