This code combines Circulant Matrix Tracker by João F. Henriques (Github, Author's page) and Hardnet image descriptor (Github, Paper)

1. Get datasets. Comes with loader for MILTrack and VOT. Alternatively you can write your own loader.
2. Extract somewhere. Recommended structure is to put data into ./data/sets/* and create folder ./data/logs/ where output will be generated
3. Run ./circulant_matrix_tracker.py -i path_to_dataset

For more options run ./circulant_matrix_tracker.py -h

To change image descriptor to be used for tracking use -d|--descriptor option. Currently supported descriptors are:

• raw | gray - Describe image using raw grayscale pixels
• hardnet - Describe image using 128-channel pretrained HardNet++ descriptor

• WIP: GPU computation. If enabled some things get offloaded to gpu, but this parts needs more optimizations work
• TODO: HOG Features descriptor
• TODO: Some metric to automatically measure and evaluate quality of tracking
• TODO: Rewrite everything to c++

• Python (used 2.7, might work with other versions too)
• Numpy
• Matplotlib
• Scipy
• Torch
• PyLab