Comments (4)
kaihuchen
commented on June 5, 2024
You can find some OpenCV code here for doing the cropping programmingly http://stackoverflow.com/questions/13211745/detect-face-then-autocrop-pictures
I would advice that you also align the center point between the two eyes to the center of the image (the same as in the celebA dataset used in this repository. I have run into problem with training on unaligned images earlier (see my report here for details http://www.terraai.org/avatars/)
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shartoo
commented on June 5, 2024
there is a human face dataset named LFW? If you need an open source human face recognize ,the seetaface.
I got a problem,what should my own dataset like?
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mohanadkaleia
commented on June 5, 2024
I need to create my own dataset which is not faces, is it just simply provide the path of the dataset during the training phase?
When I did that I got the following error:
ValueError: Trying to share variable discriminator/d_h3_lin/Matrix, but specified shape (8192, 1) and found shape (25088, 1).
Thank you
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agulli
commented on June 5, 2024
Anyone was able to create a new dataset? An example would be very useful
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Related Issues (20)
- input _fname_pattern"*.jpg" Synatx Error: Invalid Syntax error in line 91 in main.py
- Why the kernel size of discriminator is 4?
- 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
- checkpoint not found HOT 2
- 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
- raise Exception("Checkpoint not found in " + FLAGS.checkpoint_dir) Exception: Checkpoint not found in ./out\20200526.133337 - data - retina\checkpoint HOT 5
- 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
- cannot generate when testing
- failed to teat
- failed to test HOT 1
- NameError：name 'PIL' is not defined HOT 1
- ValueError: could not broadcast input array from shape (1,2048) into shape (98,1024) HOT 2
- TypeError: 'NoneType' object is not subscriptable
- How to generate larger images? HOT 1
- 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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