Comments (2)
Whatsetsthisend
commented on July 22, 2024
Hey, man, have you solved this problem
from dcgan-tensorflow.
imnawar
commented on July 22, 2024
you can save any model using JSON and save weights
here script code to save any model
`
from keras.models import model_from_json
model_json = discriminator.to_json()
with open("/PATH/discriminator.json", "w") as json_file:
json_file.write(model_json)
discriminator.save_weights("/PATH/discriminator.h5")
print("Saved model to disk")
`
then you can reuse it after load it
ref. https://machinelearningmastery.com/save-load-keras-deep-learning-models/
from dcgan-tensorflow.
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
- 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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