Discriminative Siamese Embedding for Object Tracking (SiamMargin)
author: G. Chen, L. Chen, G. Li, Y. Chen, F. Wang, S. You, C. Qian
Notice
Important: The code is obtained from VOT2019 Challenge official website
If you fail to install and run this tracker, please email the author (chenguangqi@sensetime.com)
Prerequisites
CPU: Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz × 8
GPU: NVIDIA GeForce GTX 1060 6GB/PCIe/SSE2
OS: ubuntu 14.04 LTS 64-bit
CUDA: 8.0
Required python version:
- python 3.6
Required packages for python 3.6:
- pytorch == 0.3.1 (cuda 80)
- numpy==1.16.2
- opencv-python==3.4.4.19
- torchvision == 0.2.1
Install
Install the environment by executing the script install.sh. The pretrained checkpoint has been put into the subfolder './code/model.pth'.
Add the path of this dir to tracker_SiamMargin.m in the matlab toolkit workspace, like:
tracker_command = generate_python_command('vot_SiamMargin',{'PATH/TO/THIS/DIR'});Then run the test command run_experiments.m.