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Image Classification
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multi-class-image-classification
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English
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monolingual
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1M<n<10M
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crowdsourced
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crowdsourced
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25th image in train set is Gray-Scale
#2
by
doolayer
- opened
Hi~
I found that 25th image in train set is Gray-scale.
I mean it's image mode is in "L", not a RGB!
So, I put converting code on transform function when I use it.
Maybe there will be more Gray-Scale images in datasets...
simply do this
for batch in self.source:
# Skip any None elements in the batch list
batch = [x for x in batch if x is not None]
# Resize the tensors to a common size and ensure they have the same number of channels
processed_batch = []
for item in batch:
data, label = item
# Convert single-channel images to RGB
if data.size(0) == 1:
data = data.repeat(3, 1, 1)
elif data.size(0) == 4:
data = data[:3]
processed_batch.append((data, label))