Implementation SiamRPN on PyTorch with GOT-10k dataset
- Download the GOT-10k dataset in http://got-10k.aitestunion.com/downloads
- Run the train_siamrpn.py script:
cd train
python3 train_siamrpn.py --train_path=/path/to/dataset/GOT-10k/train
[Coming Soon]
pip3 install shapely
- First you need to delete four videos:
GOT-10k_Train_008628
GOT-10k_Train_008630
GOT-10k_Train_009058
GOT-10k_Train_009059
Because they are ymin and xmin is greater than the size of the image.
- Run the fixed.py script:
python3 fixed.py --dataset_path=/path/to/dataset/GOT-10k/train
After you have new_file.txt file. In this file a lot of information about where the error.
You do not need to change anything yourself, the fixed.py script will do it for you.
E-mail: [email protected]
WeChat: tularov_arbi
Bo Li- paper - Siamese-RPNDe jiasong- code - Siamese-RPN-pytorchMakalo- code - Siamese-RPN-tensorflow
Paper: @InProceedings{Li_2018_CVPR,
author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
title = {High Performance Visual Tracking With Siamese Region Proposal Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
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