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Annotated human pose synthesizer for computer vision research

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synthposes

synthposes generates a synthetic training set for human pose estimation according to a modified version of "Efficient Human Pose Estimation from Single Depth Images" by Shotton et al.

Usage

Modify the environmental variables SYNTHPOSE_OUTPUT_DIR (the directory to output to, ending with a trailing slash) and SYNTHPOSE_COUNT (the number of samples to generate as desired) upon invoking test.sh.

By default, synthpose is single-threaded and is intended to be used with multiple instances in parallel for multicore machines. Note OUTPUT_DIR should be different per core for this use case, to avoid file name collisions.

synthpose is known to work on Debian Stretch (GNU/Linux) with blender 2.77. Other distributions should also work. Other blender versions possibly work.

A sample

Sample depth map Sample part map Sample RGB image

Competent texture artists wanted :-)

Licensing

The model is licensed under a dual GPL and CC BY-SA license, by Francisco Athens. synthpose itself is also released as GPLv3.

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