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Showing 14 open source projects for "detection"
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Paper2GUI
Convert AI papers to GUI
...It can be used immediately without installation. It already supports 40+ AI models, covering AI painting, speech synthesis, video frame complementing, video super-resolution, object detection, and image stylization. , OCR recognition and other fields. Support Windows, Mac, Linux systems. Paper2GUI: 一款面向普通人的 AI 桌面 APP 工具箱，免安装即开即用，已支持 40+AI 模型，内容涵盖 AI 绘画、语音合成、视频补帧、视频超分、目标检测、图片风格化、OCR 识别等领域。支持 Windows、Mac、Linux 系统。 -
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
...While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) ... -
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Umi-OCR
OCR software, free and offline
...It includes a highly efficient offline OCR engine with built-in multilingual recognition libraries, so users can extract text across multiple languages with high accuracy directly on their machines. The software supports flexible usage patterns including screenshot capture OCR, batch processing of large sets of images or documents, PDF parsing, QR code detection, and layout-aware paragraph output. Users can interact with Umi-OCR through a graphical interface, command-line options, or HTTP interfaces, making it adaptable to both casual desktop usage and programmatic automation. Because the project is open source, developers can inspect, modify, and extend its capabilities, and plugins allow for different recognition engines or enhanced features. -
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Tesseract.js
A pure Javascript Multilingual OCR
Tesseract.js is a pure Javascript port of the popular Tesseract OCR engine. Tesseract.js' library supports more than 100 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS. Tesseract.js is a javascript library that gets words in almost any spoken language out of images. The main Tesseract.js functions (ex. recognize, detect) take an image parameter, which should be something that is like an image. ... -
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HunyuanOCR
OCR expert VLM powered by Hunyuan's native multimodal architecture
HunyuanOCR is an open-source, end-to-end OCR (optical character recognition) Vision-Language Model (VLM) developed by Tencent‑Hunyuan. It’s designed to unify the entire OCR pipeline, detection, recognition, layout parsing, information extraction, translation, and even subtitle or structured output generation, into a single model inference instead of a cascade of separate tools. Despite being fairly lightweight (about 1 billion parameters), it delivers state-of-the-art performance across a wide variety of OCR tasks, outperforming many traditional OCR systems and even other multimodal models on benchmark suites. ... -
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dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective for global and low-resource language scenarios. ... -
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chessPDFBrowser
Chess application whichs allows working with chess PDF books and PGNs.
...You can work with the chess games of the PDF and edit their tree of variants. Graphical environment. Standard PGN TAGs. PGN comments. Ocr like (Fen string detection from chess board position images). Connection to Uci chess engines (like stockfish). Position analysis, full game analysis. You can now play games against uci engines. pdf2pgn command line command included. Detailed documentation. Multilanguage currently support for English, Spanish and Catalan. Dark mode option. ... -
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OpenKYC - FaceOnLive Community Project
FaceOnLive Open KYC: Streamlining Identity Verification with AI
...With a commitment to leveraging the latest advancements in biometric technology, our platform presents a comprehensive solution encompassing cutting-edge features such as face recognition, face liveness detection, and ID document recognition. By seamlessly integrating these powerful tools, we empower businesses across industries to streamline their KYC processes with unparalleled accuracy and efficiency. At the heart of our initiative lies an open-source UI flow, meticulously designed to provide users with an intuitive and seamless experience throughout the identity verification journey. ... -
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The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video. It provides two main features: 1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions. 2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing. For working of this program on...
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10
LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
...LayoutParser is also a open platform that enables the sharing of layout detection models and DIA pipelines among the community. -
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qiji-font
Typeface from Ming Dynasty woodblock printed books
...Download high-resolution PDFs and split pages into images. Manually lay a grid on top of each page to generate bounding boxes for characters (potentially replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest. -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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RadicalSpam Virtual Appliance
Virtual Appliance of RadicalSpam
RadicalSpam Virtual Appliance takes full solution of RadicalSpam Community Edition , pre-installed in a OVF virtual machine ( Open Virtual Format ) compatible with the best virtualization platforms on the market , including VMware ESX Server. More information : http://www.radical-spam.org -
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Charface is GUI for OCR engines. Currently under developing. It suports automatica detection of next engines to be installed - cuneiform with its languages - tesseract with language database files - gocr Supports - adding custom engines - bach processing of images - text postprocessing
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