(ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning"

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Deep Learning CLNet
Overview

CLNet

(ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning"

Citing CLNet

If you find the CLNet code useful, please consider citing:

@inproceedings{zhao2021progressive,
  title={Progressive Correspondence Pruning by Consensus Learning},
  author={Zhao, Chen and Ge, Yixiao and Zhu, Feng and Zhao, Rui and Li, Hongsheng and Salzmann, Mathieu},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision.},
  year={2021}
}

Setup

Please start by installing the required libraries:

pip install -r requirements.txt

Data Processing

The code of this part is partially borrowed from [OANet]. Please follow their instructions to download the training and testing data.

bash download_data.sh raw_data raw_data_yfcc.tar.gz 0 8 ## YFCC100M
tar -xvf raw_data_yfcc.tar.gz

bash download_data.sh raw_sun3d_test raw_sun3d_test.tar.gz 0 2 ## SUN3D
tar -xvf raw_sun3d_test.tar.gz
bash download_data.sh raw_sun3d_train raw_sun3d_train.tar.gz 0 63
tar -xvf raw_sun3d_train.tar.gz

After downloading the datasets, the initial matches can be generated by:

cd dump_match
bash yfcc.sh
bash sun3d.sh

The initial matches are generated over SIFT by default. The ones based on ORB and SuperPoint are also available by changing the settings of --suffix and --desc_name.

Pretrained Model

We provide a pretrained model on YFCC100M. The results in our paper can be reproduced by running the test script:

python ./test.py --use_ransac True --data_te ./data_dump/yfcc-sift-2000-test.hdf5 --output_dir ./logs/CLNet_yfcc_sift --model_path ./pretrained_models/clnet_yfcc_sift.pth

Train model on YFCC100M

Please run the training script to train our model on YFCC100M after the data processing is done.

python ./train.py --data_tr ./data_dump/yfcc-sift-2000-train.hdf5
--data_te ./data_dump/yfcc-sift-2000-test.hdf5
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Comments
  • No module named 'dataset'

    No module named 'dataset'

    Hello! Thanks for sharing the code. Where is this 'dataset' package? https://github.com/sailor-z/CLNet/blob/2dc7a6900b8fec6e9e584feeca233d7c1e2f7a3b/dump_match/yfcc.py#L2

    opened by weitong8591 2
  • I get a error when run the “yfcc.sh”

    I get a error when run the “yfcc.sh”

    FileNotFoundError: [Errno 2] Unable to open file (unable to open file: name = '../raw_data/yfcc100m//buckingham_palace/test/images/39197892_9580433466.jpg.sift-2000.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

    and I get the follow error when run the sun3d.sh : FileNotFoundError: [Errno 2] Unable to open file (unable to open file: name = '../raw_data/sun3d_test//te-brown1//test/images/0000631-000021117908.jpg.sift-2000.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

    opened by wwcisme 0
Owner
Chen Zhao
https://sailor-z.github.io/
Chen Zhao
GitHub
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