Multiple outputs

[muellerzr (Zachary Mueller)]

@amritv

Any ideas on how to correct this?

Combining the mask with anything requires special care IIRC, due to the order in which they’re in. MaskBlock and CategoryBlock weren’t designed to be in tangent. I attempted combining mask with bounding boxes which led to something similar. See the short discussion here:

Fastai v2 vision

Got it, thanks for anyone wanting to do something similar, s reads in your samples, so this (in my case) was set as the following: input image, bbox coord, bbox lbl, segmentation mask. So I cared about 1:3 for the bounding box paddings I then just did myBBoxBlock = TransformBlock(type_tfms=TensorBBox.create, item_tfms=PointScaler, dls_kwargs = {'before_batch': mybb_pad})

What I can tell you is the order in which you pass the blocks is extremely important. So I’d start with simply reversing it (CategoryBlock then MaskBlock)