TrackerGoturn is a project that is maintained by OPEN AI LAB, it used Caffe platform based on GOTURN to training a SqueezeNet and provide a camera live demo.

The release version is 0.1.0, is based on Rockchip RK3399 Platform, target OS is Ubuntu 16.04. Can download the source code from OAID/TrackerGoturn

• The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. See also Arm Compute Library.

• Installation instructions for Demo
• Performance Report PDF

There are some compatibility issues between ACL and Caffe Layers, we bypass it to Caffe's original layer class as the workaround solution for the below issues

• Normalization in-channel issue
• Tanh issue
• Softmax supporting multi-dimension issue
• Group issue

Performance need be fine turned in the future

Initial version supports general object tracking base on SqueezeNet model on 3x3 conv.

Encounter any issue, please report on issue report. Issue report should contain the following information :

• The exact description of the steps that are needed to reproduce the issue
• The exact description of what happens and what you think is wrong