Comments (5)
@sylvialee12 I wanted to try something similiar, I have a dataset with pedestrians in cities and nature and wanted to augment these images. Have you any experience in using such complex data?
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Hey
I also have some random data and want to augment it through DAGAN. Does anyone of you have any experience with that?
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could someone help me to prepare .nzp file for a custom dataset?
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I am running data augmentation experiments in the CIFAR10 dataset, but unable to get any good results as of yet. The easiest way to understand the data format is by loading the .npy
mentioned in the README under Datasets. It has a shape of (num_classes, num_images, height, width, num_channels)
. This asks that each of your classes cpntains the same number of images, which is true for the Omniglot dataset but not might not be true for other datasets. In the latter cases, you can append (np.append()
) the NumPy array with itself as many times as needed to increase num_images
to the maximum num. of images you have for any class.
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@uzaymacar would you mind sharing a piece of your code on how you made it work for CIFAR10? I am also having troubles with this regards and I cannot quite understand how you did yours.
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Related Issues (20)
- Issues met when generating data
- vgg_face_data.npy dtype HOT 3
- DenseNet classifier
- Question about experiment setting in the paper HOT 2
- training time HOT 4
- can I use DAGAN for binary classes HOT 1
- Is the purpose of this code deliberately creating an unbalanced data set?
- augment new images HOT 4
- how to download the data, the author connection can not be opened,
- Creating new DAGAN architecture.
- how to make the environment
- BUG report: change height and width in architecture
- how many times it will cost to train the model
- Can I get the model that you trained by the default paramaters.
- ResourceExhaustedError when using a new dataset with only 3000 images HOT 3
- how to use emnist HOT 1
- Where is the .ckpt files? HOT 1
- How to make *.npy file?
- ValueError: No variables to optimize
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