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ankitrohatgi avatar ankitrohatgi commented on September 22, 2024

Thanks for reporting this! Will look into this soon and get back to you.

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ankitrohatgi avatar ankitrohatgi commented on September 22, 2024

Got back to app and tryed different approaches, concluding that application uses the highest value of all images on Y axis to perform the interpolation or even for "Averaging Window" algorithm on those data lines

This should not be the case - the algorithm should use the entire image or whatever region was defined using the mask. You should not have to rescale the calibration to make the algorithm work :( I'll try a few things to see if this can be reproduced.

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ankitrohatgi avatar ankitrohatgi commented on September 22, 2024

I was able to reproduce this issue with just 2 images and image axes! Looks like the UI holds on to a reference of the last axes added and when you go back to the first image and add a dataset it assigns the wrong axes to the dataset. A workaround would be to manually change the axes to the correct one after adding the dataset.

I am attaching the project from my own trial for my reference:
bug_project.json

Thank you for sharing all the details! It would have been much harder to track this down otherwise.

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ankitrohatgi avatar ankitrohatgi commented on September 22, 2024

This is fixed in V5 btw: https://automeris.io/posts/

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jgfroque avatar jgfroque commented on September 22, 2024

Thank you very much for the immediate reply.

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