Based on https://github.com/DLR-RM/AugmentedAutoencoder
It only includes the Augmented Autoencoder part and does not include object detection part.
For SSD object detection, please check docker_ssd repository.
The docker image meets the software requirements.

Inference

I chose option 2: Using the Google Detection API with Fixes

• Train a 2D detector following https://github.com/naisy/train_ssd_mobilenet
• adapt /auto_pose/test/googledet_utils/googledet_config.yml
  When you are running python auto_pose/test/aae_googledet_webcam_multi.py exp_group/my_autoencoder, the error of error: (-215:Assertion failed) (mtype == CV_8U || mtype == CV_8S) && _mask.sameSize(*psrc1) in function 'binary_op' shows up.
  That means the video resolution in /auto_pose/test/googledet_utils/googledet_config.ym does not match the video resolution.