YoloWrapper | 采用C # 语言对 YOLOv4 目标检测算法封装,将模型在实际应用系统中落地,实现模型在线远程调用。

 by   zhang8043 C# Version: Current License: No License

kandi X-RAY | YoloWrapper Summary

kandi X-RAY | YoloWrapper Summary

YoloWrapper is a C# library. YoloWrapper has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

采用C#语言对 YOLOv4 目标检测算法封装,将模型在实际应用系统中落地,实现模型在线远程调用。
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            kandi-support Support

              YoloWrapper has a low active ecosystem.
              It has 25 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of YoloWrapper is current.

            kandi-Quality Quality

              YoloWrapper has 0 bugs and 0 code smells.

            kandi-Security Security

              YoloWrapper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              YoloWrapper code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              YoloWrapper does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              YoloWrapper releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            YoloWrapper Key Features

            No Key Features are available at this moment for YoloWrapper.

            YoloWrapper Examples and Code Snippets

            No Code Snippets are available at this moment for YoloWrapper.

            Community Discussions

            QUESTION

            How to increase the speed of object detection using YOLO in C#.net
            Asked 2020-Apr-27 at 09:59

            I want to detect License Plate region by YOLO V3. I've used darknet to create Weights for this purpose. After training a weight file was created. The size of this file was 234 MB and I used darknet53.conv.74 file and 650 images for train.

            The Config file (yolov3.cfg) is

            ...

            ANSWER

            Answered 2020-Jan-07 at 10:13

            As you have trained by yourself, I guess you already know neural network need GPU to run faster. Anyway, for faster detection you should either reduce resolution of network or use a tiny variant of YOLO. Today, the strongest and fastest variant is presented here: yolo_v3_tiny_pan3.cfg. Others most recent darknet models are available here. Some other network, like mobilenet, are more optimized to works faster on CPU.

            Anyway, these alternative networks requires AlexeyAB darknet implementation to works, so you will need to recompiler darknet of your c# wrapper.

            Source https://stackoverflow.com/questions/59626074

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

            Vulnerabilities

            No vulnerabilities reported

            Install YoloWrapper

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/zhang8043/YoloWrapper.git

          • CLI

            gh repo clone zhang8043/YoloWrapper

          • sshUrl

            git@github.com:zhang8043/YoloWrapper.git

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