A tensorflow implementation for GOTURN tracker
This is a tensorflow implementation of GOTURN.
Thanks to author David Held for his help of this implementation.
The original paper is:
The github repo for caffe implementation is given by the authors: davheld/GOTURN
Brief illustration of how this network works:
You can refer to the paper or github repo above for more details.
python python train.py
checkpointsfolder, and put it in the root directory of this repo
python python load_and_test.py
Be careful, the output of this network actually always from 0 to 10 thus I multiplied the ground-truth bounding boxes( always ranging from 0 to 1) by 10.