mask_rcnn_ros | ROS Wrapped Mask RCNN | Robotics library

 by   iKrishneel Python Version: Current License: No License

kandi X-RAY | mask_rcnn_ros Summary

kandi X-RAY | mask_rcnn_ros Summary

mask_rcnn_ros is a Python library typically used in Automation, Robotics applications. mask_rcnn_ros has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

ROS Wrapped Mask RCNN
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            kandi-support Support

              mask_rcnn_ros has a low active ecosystem.
              It has 8 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 65 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mask_rcnn_ros is current.

            kandi-Quality Quality

              mask_rcnn_ros has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              mask_rcnn_ros 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

              mask_rcnn_ros releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mask_rcnn_ros and discovered the below as its top functions. This is intended to give you an instant insight into mask_rcnn_ros implemented functionality, and help decide if they suit your requirements.
            • Generate a test image
            • Generate a random argument
            • R Finds the contours of the given image
            • Fetch a background image
            • Compute the intersection of two intersections
            • Computes the intersection of two boxes
            • Returns the intersection of two intersects
            • Calculate the area of a rectangle
            • Load image by index
            • Service callback handler
            • Runs the detection algorithm
            • Convert an image message to a numpy array
            • Callback called when the detector is received
            • Plot image detection
            • Detect the image
            Get all kandi verified functions for this library.

            mask_rcnn_ros Key Features

            No Key Features are available at this moment for mask_rcnn_ros.

            mask_rcnn_ros Examples and Code Snippets

            No Code Snippets are available at this moment for mask_rcnn_ros.

            Community Discussions

            Trending Discussions on mask_rcnn_ros

            QUESTION

            Creating BGR image using GRAYSCALE image
            Asked 2019-Mar-27 at 18:28

            Camera provides GRAYSCALE data while deep learning model requires BGR. Is it possible to create artificial bgr image by "stacking" the grayscale image using opencv or numpy or anything?

            I am using two ROS packages created by other people. I have tried the following:

            Attempted altering the model to accept grayscale as described by the original repo.

            Attempted to convert grayscale to bgr using

            ...

            ANSWER

            Answered 2019-Mar-27 at 18:28

            merged_image = cv2.merge((np_image, np_image, np_image))

            should give you what you're looking for.

            Source https://stackoverflow.com/questions/55380727

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

            Vulnerabilities

            No vulnerabilities reported

            Install mask_rcnn_ros

            It is better to use the python virtual environment to install the detector dependencies and note that it only works on Python 3. Install python Virtual Environment.

            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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            gh repo clone iKrishneel/mask_rcnn_ros

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            git@github.com:iKrishneel/mask_rcnn_ros.git

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