LC-Finder | An image annotation and object detection tool written in C

 by   lc-soft C Version: v0.3.0-beta License: GPL-2.0

kandi X-RAY | LC-Finder Summary

kandi X-RAY | LC-Finder Summary

LC-Finder is a C library. LC-Finder has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

LCFinder (LC's Finder) is an image management tool that supports image annotation and object detection. It is written in C and uses LCUI for its graphical interface. As with the author's other projects, the naming is simple, it begins with LC, and the following Finder is referenced from the Finder in Mac OS. LCFinder's user interface and feature design is based on the "photos" application that comes with Windows, Although it is a reference, the functional aspects are mainly developed according to the author's individual needs, and the author does not intend to waste time to implement all the functions of the "photo" application.
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            kandi-support Support

              LC-Finder has a low active ecosystem.
              It has 175 star(s) with 40 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 55 have been closed. On average issues are closed in 701 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of LC-Finder is v0.3.0-beta

            kandi-Quality Quality

              LC-Finder has no bugs reported.

            kandi-Security Security

              LC-Finder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              LC-Finder is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              LC-Finder releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            LC-Finder Key Features

            No Key Features are available at this moment for LC-Finder.

            LC-Finder Examples and Code Snippets

            No Code Snippets are available at this moment for LC-Finder.

            Community Discussions

            No Community Discussions are available at this moment for LC-Finder.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install LC-Finder

            If you want to use the detector, you need the following steps:.
            Download pre-trained models: yolov3.cfg (236 MB COCO Yolo v3) - requires 4 GB GPU-RAM: https://pjreddie.com/media/files/yolov3.weights yolov3-tiny.cfg (34 MB COCO Yolo v3 tiny) - requires 1 GB GPU-RAM: https://pjreddie.com/media/files/yolov3-tiny.weights yolo9000.cfg (186 MB Yolo9000-model) - requires 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo9000.weights
            Copy the .weights file to its namesake directory in the app/detector/models directory, such as: copy yolov3.weights file to app/detector/models/yolov3/

            Support

            If you are interested in fixing issues and contributing directly to the code base, please see the contributing guidelines, which covers the following:.
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