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Currently, the output of the core module is stored in a pandas DataFrame where each row (frame) contains multiple instances of image data. Saving this output to a .csv or pickle is expensive and can take a while to read back into ram. Also, the processing of large datasets might make it difficult to read into ram. For that reason, the storage requirements should be outlined
The text was updated successfully, but these errors were encountered:
Currently, the output of the core module is stored in a pandas DataFrame where each row (frame) contains multiple instances of image data. Saving this output to a .csv or pickle is expensive and can take a while to read back into ram. Also, the processing of large datasets might make it difficult to read into ram. For that reason, the storage requirements should be outlined
The text was updated successfully, but these errors were encountered: