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Cross Domain Dataset about dagan HOT 5 OPEN

antreasantoniou avatar antreasantoniou commented on June 28, 2024
Cross Domain Dataset

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Comments (5)

tobschu94 avatar tobschu94 commented on June 28, 2024

@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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mohsin127 avatar mohsin127 commented on June 28, 2024

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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lerndeep avatar lerndeep commented on June 28, 2024

could someone help me to prepare .nzp file for a custom dataset?

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uzaymacar avatar uzaymacar commented on June 28, 2024

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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jerofad avatar jerofad commented on June 28, 2024

@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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