Segmentation when Image Channels Are More Than 3

[at98 (Ayush)]

I have Recently Started Working on a Dataset For Image Segmentation.But The Problem that I am encountering is that That isnt of having just 3 Channels,I have been given 7 images Each Corresponding to A different Channel for one Segmentation Mask and I am confused how to get them Ready For The Model.
Could @jeremy you Please point me in The right direction

[sayakgis (Sayak Chakraborty)]

I assume you have 7 channel input image.

You can call Resnet inside Unet learner.

Could you please try with changing the ResNet Input channel to 7 instead of 3 and try loading it in learner.
It might work for you, please keep me posted.

Last week I changed the stride for restnet to 1 instead of default 2 for small object on image never tried with channels though.

[rohit_gr (Rohit Gupta)]

Does the image has 7 channels or for each image you have 7 different images corresponding to a different segmentation mask for that image?

[ste (Stefano Giomo)]

Here you can find a starter the code to:

• load multi channel image
• adapt resent first conv-layer to accept more than 3 channels

Classifier with multiple images as input and multiple labels as output

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