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Hello, in the trainGenerator, you use one image_datagen and one mask_datagen, but they load data from different directory, how could you say ---the label of image 1 is actually the label of image 1?
The text was updated successfully, but these errors were encountered:
In this case they may be in separate folders but the file names corresponds so that image file001.png in image foder corressponds to mask file001.png in the mask folder. Else it can interpret folder names as the classes of different images are grouped according to classes and saved into their respective directoris (in this cases no mask files). Read more about about the flow_from_directory function if you want to understand.
Hello, in the trainGenerator, you use one image_datagen and one mask_datagen, but they load data from different directory, how could you say ---the label of image 1 is actually the label of image 1?
The text was updated successfully, but these errors were encountered: