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I'm working through this tutorial and am running into an error asking for the etl property in the config variable, I was getting a batch_size missing error but I changed minibatch to batch to get rid of that:
config = {
'manifest_filename': 'data/cifar10/train-index.csv', # CSV manifest of data
'manifest_root': 'data/cifar10', # root data directory
'image': {'height': 224, 'width': 224, # output image size
'scale': [0.875, 0.875], # random scaling of image before cropping
'flip_enable': True}, # randomly flip image
'type': 'image,label', # type of data
'minibatch_size': be.bsz # batch size
}
When I run this code the config object is missing an etl property, I looked in the source code of aeon but the example I used is still throwing an error.
train_set = AeonDataLoader(config, be)
Any clarification about how to structure the etl property?
The text was updated successfully, but these errors were encountered:
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Hello,
I'm working through this tutorial and am running into an error asking for the etl property in the config variable, I was getting a batch_size missing error but I changed minibatch to batch to get rid of that:
config = {
'manifest_filename': 'data/cifar10/train-index.csv', # CSV manifest of data
'manifest_root': 'data/cifar10', # root data directory
'image': {'height': 224, 'width': 224, # output image size
'scale': [0.875, 0.875], # random scaling of image before cropping
'flip_enable': True}, # randomly flip image
'type': 'image,label', # type of data
'minibatch_size': be.bsz # batch size
}
When I run this code the config object is missing an etl property, I looked in the source code of aeon but the example I used is still throwing an error.
train_set = AeonDataLoader(config, be)
Any clarification about how to structure the etl property?
The text was updated successfully, but these errors were encountered: