We introduce Essential-Mixtures Model to calculate GT labels, which is effective. However, it requires non-trivial computation resources and is not stable. So we here provide an alternative method called Homography Mixtures.
The pretrain-model, benchmark, trainset could be found at google-drive
- Download and Put
GF4-Val.txt
GF4-Val
to the root path - Download and Unzip
pretrain-model
to the root path
Here is the colab demo for illustrating the GF4 benchmark
sudo python3 test_demo.py --data_dir TestDatasetItem.npy --model_dir pretrain-model --restore_file best
coming soon
@article{liu2021deepois,
title={DeepOIS: Gyroscope-guided deep optical image stabilizer compensation},
author={Liu, Shuaicheng and Li, Haipeng and Wang, Zhengning and Wang, Jue and Zhu, Shuyuan and Zeng, Bing},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
volume={32},
number={5},
pages={2856--2867},
year={2021},
publisher={IEEE}
}