Alturos.Yolo | C # Yolo Darknet Wrapper | Computer Vision library

 by   AlturosDestinations C# Version: Current License: MIT

kandi X-RAY | Alturos.Yolo Summary

kandi X-RAY | Alturos.Yolo Summary

Alturos.Yolo is a C# library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. Alturos.Yolo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A state of the art real-time object detection system for C# (Visual Studio). This project has CPU and GPU support, with GPU the detection works much faster. The primary goal of this project is an easy use of yolo, this package is available on nuget and you must only install two packages to start detection. In the background we are use the Windows Yolo version of AlexeyAB/darknet. Send an image path or the byte array to yolo and receive the position of the detected objects. Our project is meant to return the object-type and -position as processable data. This library supports YoloV3 and YoloV2 Pre-Trained Datasets.
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            kandi-support Support

              Alturos.Yolo has a low active ecosystem.
              It has 394 star(s) with 126 fork(s). There are 45 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 68 open issues and 100 have been closed. On average issues are closed in 51 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Alturos.Yolo is current.

            kandi-Quality Quality

              Alturos.Yolo has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Alturos.Yolo is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Alturos.Yolo releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            Alturos.Yolo Key Features

            No Key Features are available at this moment for Alturos.Yolo.

            Alturos.Yolo Examples and Code Snippets

            No Code Snippets are available at this moment for Alturos.Yolo.

            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 Alturos.Yolo

            Visual Studio 2019

            Support

            If you have some error like DllNotFoundException use Dependencies to check all references are available for yolo_cpp_dll_gpu.dll. If you have some error like NotSupportedException check if you use the latest Nvidia driver.
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            CLONE
          • HTTPS

            https://github.com/AlturosDestinations/Alturos.Yolo.git

          • CLI

            gh repo clone AlturosDestinations/Alturos.Yolo

          • sshUrl

            git@github.com:AlturosDestinations/Alturos.Yolo.git

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