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Hi Fabian,
I searched in common questions and also in issues but I could not find any questions raised on this.
I want the inference time of nnUNet on Liver dataset. More precisely, the inferen…
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model = smp.UnetPlusPlus()
AttributeError: module 'segmentation_models_pytorch' has no attribute 'UnetPlusPlus'
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def compute_iou(img1, img2):
img1 = np.array(img1)
img2 = np.array(img2)
if img1.shape[0] != img2.shape[0]:
raise ValueError("Shape mismatch: the number of images mismatch.…
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Thanks for sharing!
I wonder why use 3 encoders followed by 3 decoders? AFAIK, people usually use 4 encoder blocks and 4 decoder blocks to construct an U-net.
May I ask what your consideration is?
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Thanks for yours source, but can you describe more clearly how can I train own data? I'm a student and want to try with my data includes images and the corresponding mask about the object.