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  • 1
    DocTR

    DocTR

    Library for OCR-related tasks powered by Deep Learning

    ...Seemlessly process documents for Natural Language Understanding tasks: we provide OCR predictors to parse textual information (localize and identify each word) from your documents. Robust 2-stage (detection + recognition) OCR predictors with pretrained parameters. User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document datasets, comparable with GoogleVision/AWS Textract. Easy integration (available templates for browser demo & API deployment). End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). ...
    Downloads: 1 This Week
    Last Update:
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  • 2

    Lords Mobile Player Statistics

    Compare yourself with others by analyzing Lords Mobile Screenshots

    ...You can also export the results as text file or render the table as an image (for sharing with your guild for example). This project is still in a early development stage, please read the Wiki (see menu above) for details about what is working and what is not. There are still many features on the todo list for future release. Please consider to support the project by making a donation to the project by clicking the Donation link in the menu!
    Downloads: 0 This Week
    Last Update:
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  • 3
    Waygoer is an OCR program. It is based on contour extraction and momentum transformations. This allows for rotation- and scale-invariant recognition. Waygoer is still at an early stage of development.
    Downloads: 0 This Week
    Last Update:
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