segmentation_models
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Pixelated output from PSPNET
I'm trying to apply PSPNet to segment a set of Transmision Xray Images (similar to medical x-ray images but for materials science). I've trained the network with a set of Ground-Truth images but getting the very pixelated segmented images as output (see the attached). Although the mIoU is high during training, still the test results are pixelated. I changed the default down-sampling from 8 to 4 and it became a bit better but still pixelated.
I'll appreciate it if you please help me with what other parameters for PSPNet I can change to get high res results like another network (Unet, Unet++, Nestnet) I used from this repository.
Thanks,
@Hamid-Sarraf Did you ever resolve this issue? I'm having the same problem...
Unfortunately No.
For anyone else reading this, I was able to get significantly better per-pixel accuracy by using Unet from this library instead of pspnet.
On Mar 19, 2022, at 10:40 AM, Hamid Torbati-Sarraf @.***> wrote:
Unfortunately No.
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