darknet_ros | YOLO ROS : Real-Time Object Detection for ROS | Computer Vision library

 by   leggedrobotics C++ Version: 1.1.5 License: BSD-3-Clause

kandi X-RAY | darknet_ros Summary

kandi X-RAY | darknet_ros Summary

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

This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. For more information about YOLO, Darknet, available training data and training YOLO see the following link: YOLO: Real-Time Object Detection. The YOLO packages have been tested under ROS Noetic and Ubuntu 20.04. Note: We also provide branches that work under ROS Melodic, ROS Foxy and ROS2. This is research code, expect that it changes often and any fitness for a particular purpose is disclaimed.
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            kandi-support Support

              darknet_ros has a medium active ecosystem.
              It has 1852 star(s) with 1078 fork(s). There are 47 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 140 open issues and 186 have been closed. On average issues are closed in 70 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of darknet_ros is 1.1.5

            kandi-Quality Quality

              darknet_ros has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              darknet_ros is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              darknet_ros releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 57 lines of code, 0 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            darknet_ros Key Features

            No Key Features are available at this moment for darknet_ros.

            darknet_ros Examples and Code Snippets

            No Code Snippets are available at this moment for darknet_ros.

            Community Discussions

            QUESTION

            Using darknet_ros with Yolov3, how to test with mp4 file?
            Asked 2021-Sep-05 at 03:58

            As far as I know, only cameras can be used to test using darknet_ros. So, how can I test with mp4(video) file?

            ...

            ANSWER

            Answered 2021-Sep-05 at 03:58

            The way darknet_ros comes out of the box, you are correct. It subscribes to an sensor_msgs/Image topic and uses that as input. If you're trying to use this with an mp4 file you need to get that file publishing out as a video over ros. Right now the best, and really only, way to do this is via an opencv package. You can use the provided launch file on that page and change the input file directory. After that all you need to do is remap the output topic so it connects to darknet_ros

            Source https://stackoverflow.com/questions/69059869

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

            Vulnerabilities

            No vulnerabilities reported

            Install darknet_ros

            The yolo-voc.weights and tiny-yolo-voc.weights are downloaded automatically in the CMakeLists.txt file. If you need to download them again, go into the weights folder and download the two pre-trained weights from the COCO data set:.

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            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/leggedrobotics/darknet_ros.git

          • CLI

            gh repo clone leggedrobotics/darknet_ros

          • sshUrl

            git@github.com:leggedrobotics/darknet_ros.git

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