Hello! I am new to Pytorch. and l wanna know how to use to load grey-scale image. When i used it to load image data to train Lenet-5 model , it shows that the dataset has three channels and do not fit the model’s input . I tried to translate the image to grey-scale image. but it did not work. would you please tell me the reason and help me to solve this problem? thanks!
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This line here in torchvision is reason for 3 channel loading. You can write your own function to load image like at this line and pass to loader
parameter of ImageFolder
.
Just a headsup: If you need to load MNIST, there’s a torch vision dataset for that.
Hope this helps.
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You could also do a transform to Grayscale
dataset = torchvision.datasets.ImageFolder(
root = data_path,
# By default the imageFolder loads images with 3 channels and we expect the image to be grayscale.
# So let's transform the image to grayscale
transform = transforms.Compose([transforms.Grayscale(), transforms.ToTensor()])
)
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