Savedmodel generate empty variables directory about stegastamp HOT 18 CLOSED

no,though it is empty,it also can use without error.

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I am a bit confused by your questions.
When you run bash scripts/base.sh EXP_NAME does it not save out the model?

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Hi gslxr, i have the same proble. Did you solved it?

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At the end of the training the model is saved here -

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Yes, that line runs without problem. the problem is that my saved_model.pb has a size of 215.5 MB and your saved_model.pb is 241.8kb. Also my variables folder is empty. and your traned model has two files of 217 MB and 2.4kb.

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Ahh, gotcha. What happens when you try to run your saved model? What error do you get?

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I got this
https://drive.google.com/file/d/1hHtizPeY8f4Spfkuahb8X2xZl_mt9-dy/view?usp=sharing this is the link of my trained model. I just change the size of the data to 50 bits.

Traceback (most recent call last): File "encode_image.py", line 93, in <module> main() File "encode_image.py", line 76, in main hidden_img, residual = sess.run([output_stegastamp, output_residual],feed_dict=feed_dict) File "/home/ed/Desktop/StegaStamp/virtualenv/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run run_metadata_ptr) File "/home/ed/Desktop/StegaStamp/virtualenv/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1156, in _run (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape()))) ValueError: Cannot feed value of shape (1, 100) for Tensor 'input_prep:0', which has shape '(?, 50)'

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You are getting a shape error
Cannot feed value of shape (1, 100) for Tensor 'input_prep:0', which has shape '(?, 50)'
This isn't caused by the saved model issue you mentioned above. You need to pass your secret size as an argument to encode image.

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Yes! i understand that part.
python encode_image.py saved_models2/stegastamp_pretrained --image original.jpg --save_dir out/ --secret 12 --secret_size 50
This is the line i use. even if i write --secret_size 50 with your trained model. it does not show any error. where is the secret_size value used?

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Ahh, yes that is an error on my part. Then encode_image.py requires the code to be of length 100. This function uses BCH codes with specific parameters to convert a string into a 100bit message. You must use a different error correcting code (or no error correcting) if you change the size of the message.

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Could you share a explample of encode and decode without error correcting code?. Please.

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I'm not going to be able to write out a full example, but I can give some pointers.
For encoding, just change packet_binary to the 50 bit binary code you want to store. You can ignore all of the previous lines regarding BCH.

For decoding,

Also given that this is unrelated to the original issue, please create new issues for followup questions.

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Thanks! I understand, I saw an example with a image encoded with 50 bits. So i tought you had an example.

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no,though it is empty,it also can use without error.

Hi，gslxr，I also had this problem“ValueError: Cannot feed value of shape (1, 100) for Tensor 'input_prep:0', which has shape '(?, 20)'”，how did you solve it？

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