Can you supply the generated thermal dataset？

[Tianlu-Zhang]

I tried to use your way to generate thermal images,but I cannot get the results like the results in the paper. So do you have a plan to open the generated dataset,thanks for your answers.

And do you use this code to generate images:https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix

[zhanglichao]

Hi,

Yes, the visualization analysis shows on the paper is evaluated on the testing dataset, very similar distribution with the training data (i.e. KAIST dataset), which explicitly help us select a better translation model to transfer large-scale RGB tracking datasets to TIR modality. The models fine-tuned with generated training data does improve the TIR tracking performance.

Thanks for your attention.

/Lichao

Hi, thank you for sharing. I downloaded your weight file. But I encountered a problem using https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix. CycleGAN can generate thermal infrared images, but pix2pix reports an error. I enter the command in the terminal as: python test.py --dataroot ./datasets/visible/ --direction AtoB --model test --name net_G_pix2pix. But the error message is AttributeError: 'Sequential' object has no attribute 'model'.

[laisimiao]

Yes, opening your generated TIR dataset is beneficial for community research. For our convenience, could you upload and share your data?