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ai-cfia / nachet-backend

A flask-based backend for Nachet to handle Azure endpoint and Azure storage API requests from the frontend.
MIT License
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issue #29: Tagarno API documentation and API integration #54

Open MaxenceGui opened 5 months ago

MaxenceGui commented 5 months ago

This PR is the continuing work of

Refer to the PR for code and previous reviews.

rngadam commented 5 months ago

Something that occurred to me following our discussions: the properties set in the image from the microscope device when capturing with the microscope and transferring the image are probaly not going to follow when we are capturing from the in-browser image canvas (where the microscope is working as a webcam source).

MaxenceGui commented 5 months ago

@rngadam

Yes, the webcam component we use in the front end is not capturing any metadata since we only took a screenshot of the canvas. I find this other component (Expo Camera). The component has a function call takePictureAsync that can get exif data if the image object recorded it.

rngadam commented 5 months ago

Yes, the webcam component we use in the front end is not capturing any metadata since we only took a screenshot of the canvas. I find this other component (Expo Camera). The component has a function call takePictureAsync that can get exif data if the image object recorded it.

I'm somewhat skeptical this will work with our microscope and return the manufacturer exif but worth testing!

MaxenceGui commented 2 months ago

Pull Request Status Update

Summary

This PR was open to work on the Tagarno API integration into Nachet. As of today (April 25), the AI Lab doesn't have either a microscope or a license for the API. Meaning that the PR is blocked for now.

If the conditions to work on the PR are good again, here is what the dev should know:

However, there still work to be done, that why the PR is still in draft.