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47,133 repositories indexed
1–19 of 19 · Most stars
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
- python
- ocr
- image-processing
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
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.
- segmentation
- image-processing
- pspnet
- unet
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
- manga
- anime
- ocr
- deep-learning
AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
Image processing in Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
Accelerated deep learning R&D
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
- opencv
- image-processing
- omr
- omr-sheet
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
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".
- imaging
- ai
- cloud-computing
- medical-imaging
PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- biology
- fluorescence
- image-analysis
- image-processing
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology