zhangxiaodi / pyECO

python implementation of efficient convolution operators for tracking

Python Implementation of ECO

Run demo

cd pyECO/eco/features/

python setup.py build_ext --inplace

cd pyECO/

python bin/demo_ECO_hc.py --video_dir path/to/video

Benchmark results

OTB100

Tracker	AUC
ECO_deep	68.7(vs 69.1)
ECO_hc	65.2(vs 65.0)

Note

we use ResNet50 feature instead of the original imagenet-vgg-m-2048

code tested on mac os 10.13 and python 3.6, ubuntu 16.04 and python 3.6

Reference

[1] Danelljan, Martin and Bhat, Goutam and Shahbaz Khan, Fahad and Felsberg, Michael ECO: Efficient Convolution Operators for Tracking In Conference on Computer Vision and Pattern Recognition (CVPR), 2017