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OpenPose example

Demo for extrapolating detections through skipped frames. Based on OpenPose version 1.7.

Instructions

  1. Build and run the Docker container with ./run_gpu.sh.

  2. Copy a video to the src folder.

  3. Within the container, run with the default parameters:

    python demo.py <video>.mp4

For additional settings, you may display the instructions using python demo.py --help.

Explanation

If you just want to speed up inference on a detector, you can make your detector skip frames, and use Norfair to extrapolate the detections through these skipped frames.

In this example, we are skipping 1 out of every 2 frames, which should make processing the video 2 times faster. This is because the time added by running the Norfair itself is negligible when compared to not having to run 4 inferences on a deep neural network.

This is what the results look like (original videos can be found at Kaggle):

openpose.mp4