VGG_CF

Visual Object Tracking based on Correlation Filter using VGG feature. About 2s per frame, can be faster via optimize the code.
Precision rate:86.3%, Success rate: 60.3%

Dependences

CUDA8.0
cudnn6.0
python==3.6
GPU ~=4.5G memory

Tracking

1. git clone https://github.com/wangchaoqun56/VGG_CF.git
2. pip install -r requirments.txt
3. cd tracking
   eidt configer.py
   data_path: path to dataset
   vgg_model_path: path to vgg19 model pretrained by ImageNet
4. python tracker.py -s 0 -e 100
   --start: index of first sequence
   --end: index of last sequence
   --gpu: gpu id default='0'

Other

download vgg19.npy from vgg19.npy