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khdlr avatar khdlr commented on July 20, 2024 1

You can set the number of input channels in config.yml (model_args.input_channels), it should be 3 by default. Labels should have 1 as the channel dimension.

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Malaika68 avatar Malaika68 commented on July 20, 2024

Can you please help in tiling and stitching data?

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khdlr avatar khdlr commented on July 20, 2024

Hi Malaika, this paper might help: https://arxiv.org/abs/1805.12219

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Malaika68 avatar Malaika68 commented on July 20, 2024

Hey thanks for the help. dimensions of my dataset image are 57x60. but it does not train on that dimension. Can ypu please tell where i can change the dimensions in the code?

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Malaika68 avatar Malaika68 commented on July 20, 2024

Also please tell me that why it is cropping my image from side after training?

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khdlr avatar khdlr commented on July 20, 2024

That's because the input dimensions should be a multiple of 32 (this is a limitation that all UNet-based models share in a similar fashion).

You could try padding the inputs to a size of 64x64.

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Malaika68 avatar Malaika68 commented on July 20, 2024

Okay great.. I have tried that. Also can you please tell the channels of images and its labels. Because I am getting channels dimension error. If the channels of images and labels are 3 or 1?

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