#python #chinese_ocr #cnn #crnn #data_mining #deep_learning #image_processing #lstm #machine_learning #ocr #optical_character_recognition #pytorch #scene_text #scene_text_recognition

https://github.com/JaidedAI/EasyOCR

#perl #digital_image_forensics #forensic_image_analysis #gui #image_forensics #image_processing #toolkit

https://github.com/GuidoBartoli/sherloq

#python #c #image #cross_platform #image_processing #pillow #pil #python_3

https://github.com/python-pillow/Pillow

#go #crop_image #docker #image_processing #jpeg #libvips #png #resize_images #thumbor #watermark

https://github.com/cshum/imagor

#python #dataset #deep_learning #im2latex #im2markup #image_processing #image2text #latex #latex_ocr #machine_learning #math_ocr #ocr #pytorch #transformer #vision_transformer #vit

https://github.com/lukas-blecher/LaTeX-OCR

#python #computer_vision #convolutional_networks #embedding_vectors #embeddings #feature_extraction #feature_vector #image_processing #image_retrieval #machine_learning #milvus #pipeline #towhee #transformer #unstructured_data #video_processing #vision_transformer #vit

https://github.com/towhee-io/towhee

#python #background_removal #image_processing

https://github.com/danielgatis/rembg

#python #deeplab_v3_plus #deeplabv3 #fpn #hacktoberfest #image_processing #image_segmentation #imagenet #linknet #models #pretrained_backbones #pretrained_models #pretrained_weights #pspnet #pytorch #segmentation #segmentation_models #semantic_segmentation #unet #unet_pytorch #unetplusplus

https://github.com/qubvel/segmentation_models.pytorch

#python #classification #coco #computer_vision #deep_learning #hacktoberfest #image_processing #instance_segmentation #low_code #machine_learning #metrics #object_detection #oriented_bounding_box #pascal_voc #python #pytorch #tensorflow #tracking #video_processing #yolo

Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.

https://github.com/roboflow/supervision

#python #image_processing #ocr #pdf #python #tesseract

OCRmyPDF is a tool that makes scanned PDF files searchable and editable. It adds a text layer to the PDF, so you can search for words or copy and paste text from the document. It supports many languages, fixes misrotated or crooked pages, and optimizes the file size. The tool works on various operating systems like Linux, Windows, and macOS, and it uses multiple CPU cores to speed up the process. This makes it easier to work with scanned documents and keeps your files organized and searchable.

https://github.com/ocrmypdf/OCRmyPDF

#typescript #alternative #converter #data_manipulation #developer_tools #devtools #frontend #good_first_issue #image_manipulation #image_processing #javascript #pdf_manipulation #productivity #react #self_hosted #swissarmyknife #tools #typescript #video_manipulation #webapp #website

OmniTools is a self-hosted web app that helps with many tasks like image and video editing, number crunching, and more. It offers tools for resizing images, converting videos, calculating dates, and generating prime numbers. You can run it on your own computer using Docker, which means your data stays local. This app is open-source and free, allowing you to contribute new features or tools easily. Using OmniTools simplifies many everyday tasks and keeps your data private.

https://github.com/iib0011/omni-tools

#rust #2d_graphics #art #compositor #design #graphic_design #graphics_editor #image_generation #image_manipulation #image_processing #node_editor #node_graph #photo_editing #photo_editor #procedural #procedural_art #procedural_drawing #svg_editor #vector_editor

Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].

https://github.com/GraphiteEditor/Graphite

#python #blind_watermark #image_processing #watermark #watermark_image

You can add invisible watermarks to images using a Python tool based on DWT-DCT-SVD techniques, which hides your watermark securely without changing the image's appearance. This watermark can be embedded and later extracted even if the image is rotated, cropped, resized, or altered by noise or brightness changes. You can use it easily via command line or Python code, protecting your images from unauthorized use while keeping them visually unchanged. This helps prove ownership and maintain image authenticity without affecting quality or usability. The tool supports embedding text, images, or bit arrays as watermarks and works on Windows, Linux, and macOS.

https://github.com/guofei9987/blind_watermark