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05-02-2025 10:12 AM
I'm looking for a solution where
1. Need a delta table that saves the pointers(path) of the images in volume
2. Train a Pytorch, tensorflow or keras model with the data from delta lake.
I tried multiple methods :
1. Storing the data as vectors or binary instead of path - I don't need this as it's not efficient
2. Used deltatorch instead of Pandas as Pytorch doesn't support spark APIs - Seems to have some issues and Dont need pandas it's not supported for Big Data
3. I have created a delta table with pointers(path) to the image, but the issue is that when converted to python objects, It's not able to read the file from "dbfs:"
Can anyone please tell if you have trained a model according to the requirement I have posted
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05-02-2025 10:37 AM
I managed to find a few solution accelerators that are in the ballpark, albeit not exact, to what you are trying to accomplish. Have a look:
1. https://www.databricks.com/solutions/accelerators/digital-pathology
3. https://www.databricks.com/solutions/accelerators/pixels-medical-image-processing
4. https://www.databricks.com/solutions/accelerators/product-quality-inspection
Hope this helps. Big Roux.
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05-10-2025 05:53 AM
Thanks @Louis_Frolio , the solution helps.