concurrent-video-analytic-pipeline-optimization-sample-l

real-time

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

How to download and setup concurrent-video-analytic-pipeline-optimization-sample-l

Open terminal and run command

git clone https://github.com/intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l.git

git clone is used to create a copy or clone of concurrent-video-analytic-pipeline-optimization-sample-l repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with concurrent-video-analytic-pipeline-optimization-sample-l https://github.com/intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l/archive/master.zip

Or simply clone concurrent-video-analytic-pipeline-optimization-sample-l with SSH

[email protected]:intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l.git

If you have some problems with concurrent-video-analytic-pipeline-optimization-sample-l

You may open issue on concurrent-video-analytic-pipeline-optimization-sample-l support forum (system) here: https://github.com/intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l/issues

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