pypcd | PCL pcd fileformat i/o in Python

 by   dimatura Python Version: 0.1.1 License: Non-SPDX

kandi X-RAY | pypcd Summary

kandi X-RAY | pypcd Summary

pypcd is a Python library. pypcd has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pypcd has a Non-SPDX License. You can install using 'pip install pypcd' or download it from GitHub, PyPI.

PCL pcd fileformat i/o in Python
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            kandi-support Support

              pypcd has a low active ecosystem.
              It has 239 star(s) with 174 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 7 have been closed. On average issues are closed in 270 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pypcd is 0.1.1

            kandi-Quality Quality

              pypcd has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pypcd has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pypcd releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pypcd saves you 1080 person hours of effort in developing the same functionality from scratch.
              It has 2447 lines of code, 192 functions and 20 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pypcd and discovered the below as its top functions. This is intended to give you an instant insight into pypcd implemented functionality, and help decide if they suit your requirements.
            • Parse the docstring
            • Read data from the stream
            • Parse a list of parameters
            • Parse index section
            • Convert a protobuf message into a dict
            • Convert a point cloud message to a numpy array
            • Convert cloud message to numpy array
            • Split the rgb field by rgb
            • Link to GitHub role
            • Create a link node
            • List of public methods
            • Convert a 2D nx3 array to a point cloud
            • Convert a 2D array into a 2D point cloud
            • Convert a 2d nx3 array into a 2D vector cloud cloud
            • Convert a 2D array to a point cloud
            • List of property names
            • Check that the metadata is consistent
            • Read from the stream
            • Save the point cloud cloud to a buffer
            • Parse a module
            • Writes the built index to a file
            • Write API docs to outdir
            • Create a PointCloud from a numpy array
            • Decodes an RGB image from the PCL
            • Convert a 2d array cloud to pixel coordinates
            • Transform cloud array
            • Set the package name
            Get all kandi verified functions for this library.

            pypcd Key Features

            No Key Features are available at this moment for pypcd.

            pypcd Examples and Code Snippets

            No Code Snippets are available at this moment for pypcd.

            Community Discussions

            QUESTION

            is there a way to render points faster OpenGL
            Asked 2019-Jun-28 at 20:12

            i need to visualize around 50k-60k points in openGL i managed to print them all but when i use rotate it takes so much time between each rotation because it just prints all the data every single frame. is there a way to print all the data once and freeze the importing of the data so it will keep the image but stop processing?

            ...

            ANSWER

            Answered 2019-Jun-28 at 20:12

            The bottleneck is the for loop and the glBegin/glEnd sequence. The data is read from the files in every frame. Note, that drawing by using glBegin/glEnd sequences and the fixed function matrix stack is deprecated since decades. Read the files once at start up and create a Vertex Buffer Object. (Read more about Vertex Specification and Shader for a state-of-the-art way of rendering.)

            The closest solution to your existing code is to use client side capability glEnableClientState and fixed function attributes glVertexPointer. With this solution you don't need any shader program.
            In the following I assume that you use PyOpenGL.

            Load the vertex coordinates to an array

            Source https://stackoverflow.com/questions/56787061

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

            Vulnerabilities

            No vulnerabilities reported

            Install pypcd

            You can install using 'pip install pypcd' or download it from GitHub, PyPI.
            You can use pypcd like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 .
            Find more information at:

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            Install
          • PyPI

            pip install pypcd

          • CLONE
          • HTTPS

            https://github.com/dimatura/pypcd.git

          • CLI

            gh repo clone dimatura/pypcd

          • sshUrl

            git@github.com:dimatura/pypcd.git

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