tf-Plaquenet

This application is built based on 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

GIF	Description
	Plaque Dataset.

• Blue : Tracking Result

Implementations

Run

Dataset

$ python runner.py by_dataset  --vid-path=./data/plaque/

References

A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image (MICCAI 2019): https://www.researchgate.net/publication/335863043_A_Deep_Reinforcement_Learning_Framework_for_Frame-by-frame_Plaque_Tracking_on_Intravascular_Optical_Coherence_Tomography_Image

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR2017) : http://openaccess.thecvf.com/content_cvpr_2017/papers/Yun_Action-Decision_Networks_for_CVPR_2017_paper.pdf