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Based on my 15 years experience in thermal imaging applications, unfortunately I have to say that these translated images are not thermal images. These are just inverted grayscale visible images.
Thermal image characteristics is more than converting black to white and white to black.
I aware that it is really difficult problem such that learning from visible data to thermal data during training process should avoid overfitting.
I will try to train this network with another dataset in the near future, then may share the results.
The text was updated successfully, but these errors were encountered:
Hi,thank you for sharing your points. I have recently tried to reproduce this work as well and have indeed encountered similar issues.
May I ask if you proceeded with retraining the model afterward? If so, would you be willing to share your approach or findings?
Thank you for your contribution.
Based on my 15 years experience in thermal imaging applications, unfortunately I have to say that these translated images are not thermal images. These are just inverted grayscale visible images.
Thermal image characteristics is more than converting black to white and white to black.
I aware that it is really difficult problem such that learning from visible data to thermal data during training process should avoid overfitting.
I will try to train this network with another dataset in the near future, then may share the results.
The text was updated successfully, but these errors were encountered: