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siamfc_got's Introduction

SiamFC

modified from (https://github.com/got-10k/siamfc).

add test-and-record while training

add multiprocess to test.py

modified show_image() to visualize

support changing backbone to vgg (siamvgg)

Dependencies

install pytorch, opencv-python:

pip install torch opencv-python

Train

  1. Download pretrained model_siamfc.pth from Baidu Yun. sqrb

  2. Download pretrained model_siamvgg.pth from Baidu Yun. vskn

  3. Download GOT10k dataset and OTB2015 dataset.

  4. Change your datasets folder dir and model dir (in test.py):

  5. Run:

python test.py --tracker siamfc
python test.py --tracker siamvgg

Train

  1. Change dir to your datasets folder (in end of train.py):

  2. Run:

python train.py --tracker siamfc
python train.py --tracker siamvgg

By default, tracker will train in GOT10k and test over OTB2015 dataset.

SiamFC Results in OTB 2015

epoch Success Score Precision Score FPS
5 0.590 0.791 120+
10 0.595 0.802
15 0.596 0.805
20 0.574 0.770
25 0.580 0.785
30 0.567 0.759
35 0.564 0.757
40 0.533 0.710
45 0.544 0.726
50 0.554 0.742

SiamVGG Results in OTB 2015

epoch Success Score Precision Score FPS
1 0.583 0.771 60+
2 0.609 0.803
3 0.601 0.805
4 0.620 0.823
5 0.608 0.799
6 0.616 0.827
7 0.602 0.804
8 0.615 0.815
9 0.594 0.788
10 0.585 0.775

####combine epoch15 of SiamFC and epoch4 of SiamVGG (only test)

Success Score Precision Score FPS
test 0.633 0.834 40+

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