- Details of the project are given in the Report
- We implemented the paper CVPR '16 with minor changes in architecture to increase the FPS we were getting.
- Final Result -
- Python 3.6 or higher
- PyBullet
- posenet
- tensorflow
- numpy
- OpenCV
Notice How the Bot is simulated in 2D environment only. With estimation of pose in 3D See This the highest achieved fps was 5, so we had to implement 2D Est due to hardware limitations.
Download the repository and run the Final.py file to see the final implementation of the project.