Deprecated: see (https://github.com/icarofua/vehicle-ReId) in order to have the full dataset and new models.

Demo code for paper "A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras" (https://arxiv.org/abs/1902.01496).

If you find this code useful in your research, please consider citing:

@article{icaroICIP2019,
    title={A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras},
    author={de Oliveira, Icaro O and Fonseca, Keiko VO and Minetto, Rodrigo},
    journal={IEEE International Conference on Image Processing (ICIP)},
    year={2019}
}

Authors

• Ícaro Oliveira de Oliveira
• Keiko Veronica Ono Fonseca
• Rodrigo Minetto

1. Installation of the packages

pip3 install keras tensorflow scikit-learn futures

2 Configuration

config.py

3.1 training of the siamese plate

python3 siamese.py plate

3.2 training of the siamese car

python3 siamese.py car

3.3 training of the siamese two stream

python3 siamese_two_stream.py

4. testing the model with generated dataset or other dataset following the format in 3.2.

python3 siamese_test.py siamese_original_two_stream.h5 dataset1_10.json

5. generate dataset.

python3 generate_dataset.py