Comments (5)
Loag
commented on May 25, 2024
any news on this issue? Fantastic library so far, @carpedm20 keep up the great work!
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carpedm20
commented on May 25, 2024
While you are training, samples are generated by trained generator and the images are saved in samples directory which can be changed by https://github.com/carpedm20/DCGAN-tensorflow/blob/master/main.py#L21. You can see how it is trained by looking at the images that are generated
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Loag
commented on May 25, 2024
@carpedm20 sorry to be a bother if you are busy, Im not very familiar with this NN architecture, just came across the paper about DCGANs last week. Do you think this could be a viable solution for unsupervised image classification?
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kursatozdalli
commented on May 25, 2024
After testing there are no images under "samples" directory.
Thanks
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carpedm20
commented on May 25, 2024
@kursatozdalli You can now see the samples with visualize function in https://github.com/carpedm20/DCGAN-tensorflow/blob/master/utils.py#L146. Please pull and try again.
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Related Issues (20)
- input _fname_pattern"*.jpg" Synatx Error: Invalid Syntax error in line 91 in main.py
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- raise Exception("[!] Entire dataset size is less than the configured batch_size") Exception: [!] Entire dataset size is less than the configured batch_size
- why my model is not converge after 300 epochs HOT 1
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- What are the in/output node names for Generator and Discriminator? HOT 1
- Solved some problems in my repo/解决了一些问题
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- Training and Test generating black squares HOT 2
- There are two bugs in the transform function in the utils.py HOT 2
- How to save discriminator network? HOT 2
- Can't create checkpoint
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- NameError：name 'PIL' is not defined HOT 1
- ValueError: could not broadcast input array from shape (1,2048) into shape (98,1024) HOT 2
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- InvalidArgumentError (see above for traceback): Nan in summary histogram for: HistogramSummary_2 [[Node: HistogramSummary_2 = HistogramSummary[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](HistogramSummary_2/tag, discriminator_1/Sigmoid)]] HOT 1
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