Hi,
I am new to datapipes and I am unsure how to implement augmentation on images, similar to how I would in the normal dataset class.
I have a datapipe which currently returns an image, and a mask, but I am not sure how to map my transforms.
when i run something like:
ds_stack = ds_stack.map(
A.Compose(
[
A.HorizontalFlip(p=0.5),
#A.Rotate(limit=35, p=1.0),
A.VerticalFlip(p=0.5),
A.RandomRotate90(p=1),
A.Transpose(p=0.5),
A. Normalize(
mean=[0.5]*15, ## adjust to number of bands
std=[0.5]*15, ## adjust to number of bands
max_pixel_value=10000, ### adjust to the max pixel value
),
ToTensorV2()
])
i get the error: KeyError: ‘You have to pass data to augmentations as named arguments, for example: aug(image=image)\nThis exception is thrown by iter of MapperIterDataPipe()’