Search Results for "notepad++ python script"

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Showing 2 open source projects for "notepad++ python script"

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  • Infor M3 ERP Icon
    Infor M3 ERP

    Enterprise manufacturers and distributors requiring a solution to manage and execute complex processes

    Efficiently executing the complex processes of enterprise manufacturers and distributors. Infor M3 is a cloud-based, manufacturing and distribution ERP system that leverages the latest technologies to provide an exceptional user experience and powerful analytics in a multicompany, multicountry, and multisite platform. Infor M3 and related CloudSuite™ industry solutions include industry-leading functionality for the chemical, distribution, equipment, fashion, food and beverage, and industrial manufacturing industries. Staying ahead of the competition means staying agile. Our new capabilities bring improved data-driven insights and streamlined workflows to help you make informed decisions and take quick action.
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  • EasySend is a no-code platform that transforms customer journeys Icon
    EasySend is a no-code platform that transforms customer journeys

    Defy form limits. 
Create digital experiences.

    Evolve forms into smart, AI-powered digital workflows that streamline your data intake and elevate customer experiences.
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  • 1
    dots.ocr

    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...
    Downloads: 1 This Week
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  • 2

    CCTV Frame Timestamp Extractor

    CCTV Footage Timestamp Search Tool

    Python script to address the problem of manually locating required event timestamps from carved CCTV DVR footages. Full details can be found in the paper published in Eighteenth Annual IFIP WG 11.9 International Conference on Digital Forensics. Link to paper: https://link.springer.com/chapter/10.1007/978-3-031-10078-9_8 The project has been divided into four modules: Framextract.py- Extracts frames from video footages Reconstruct.py- Attempts to repair unplayable video by extracting the frames. ...
    Downloads: 2 This Week
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