pyKinectAzure | Python library to run Kinect Azure DK SDK functions | Azure library

 by   ibaiGorordo Python Version: 0.0.3 License: MIT

kandi X-RAY | pyKinectAzure Summary

kandi X-RAY | pyKinectAzure Summary

pyKinectAzure is a Python library typically used in Cloud, Azure, OpenCV applications. pyKinectAzure has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyKinectAzure' or download it from GitHub, PyPI.

Python 3 library for the Azure Kinect DK sensor-SDK.
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            kandi-support Support

              pyKinectAzure has a low active ecosystem.
              It has 325 star(s) with 84 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 80 have been closed. On average issues are closed in 99 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyKinectAzure is 0.0.3

            kandi-Quality Quality

              pyKinectAzure has 0 bugs and 23 code smells.

            kandi-Security Security

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

            kandi-License License

              pyKinectAzure 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

              pyKinectAzure releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 2663 lines of code, 370 functions and 48 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyKinectAzure and discovered the below as its top functions. This is intended to give you an instant insight into pyKinectAzure implemented functionality, and help decide if they suit your requirements.
            • Start a device
            • Start K4A camera
            • Get a calibration
            • Start the camera
            • Update the IMU
            • Get IMU from device
            • Parses the data into a numpy array
            • Get a dictionary from a struct
            • Update camera
            • Get capture handle
            • Write capture to record
            • Create a skeleton2d
            • Convert from 3D camera to 2D
            • Create the camera
            • Called when the device configuration changes
            • Return a calibration of the device
            • Return the current buffer
            • Returns the transformed depth image
            • Get the point cloud of the camera
            • Get the colored depth image
            • Create capture
            • Draw the body of the actor
            • Get the recording configuration
            • Create the tracker for the given model type
            • Return a JSON representation of the body
            • Update capture tracking queue
            Get all kandi verified functions for this library.

            pyKinectAzure Key Features

            No Key Features are available at this moment for pyKinectAzure.

            pyKinectAzure Examples and Code Snippets

            No Code Snippets are available at this moment for pyKinectAzure.

            Community Discussions

            QUESTION

            Converting a sequences of RGB images and depth files to mkv file format
            Asked 2021-Dec-16 at 07:58

            I have a sequences of pngs and corresponding depth files (aligned to the corresponding images) from an external camera.

            RGB: 1.png 2.png 3.png etc 150.png

            Depth: 1.txt 2.txt 3.txt etc 150.txt

            I also have the intrinsics and corresponding camera information in another file called camera.txt.

            My goal is to convert these images and depth files to an mkv file in order to utilize the pykinect's body tracker (https://github.com/ibaiGorordo/pyKinectAzure)

            So far, I've been able to convert the images and and depth files into an open3D RGBD object. See: http://www.open3d.org/docs/release/python_api/open3d.geometry.RGBDImage.html

            I would think we need to run it through the azure kinect reader (https://github.com/isl-org/Open3D/blob/0ec3e5b24551eaffa3c7708aae8630fde9b00e6c/examples/python/reconstruction_system/sensors/azure_kinect_recorder.py#L34), but this seems to open up the camera for additional input.

            How can I save this rgbd images to an mkv file format to read in to the pykinect reader? I

            ...

            ANSWER

            Answered 2021-Dec-16 at 07:58

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyKinectAzure

            You can install using 'pip install pyKinectAzure' or download it from GitHub, PyPI.
            You can use pyKinectAzure 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

            Feel free to send pull requests. Bug reports are also appreciated. Please include as much details as possible.
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