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ERROR: invalid literal for int() with base 2: 'TrueFalseTrueTrueTrueTrueTrueTrue' #70
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I initially tried this python tool on my macOS with Then I was wondering if my envirnoment is not capable for this, I tried 0.1.3 with the same image as Docker image python:3.7-bulleye on Docker Desktop of macOS, there is no warning messages during the execution, however, I got an error with:
I follow the thread #65 with comment #65 (comment), the person said he tried a 0.1.0 version of steganogan, all the issues gone and disappeared, so I went to try version 0.1.0. And again, I failed to compile one of the dependencies ERROR: Failed building wheel for scikit-learn
Running setup.py clean for scikit-learn
Running command /usr/local/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-vwef8q0e/scikit-learn_f13f6ce501ec42b8a9376648ead182ca/setup.py'"'"'; __file__='"'"'/tmp/pip-install-vwef8q0e/scikit-learn_f13f6ce501ec42b8a9376648ead182ca/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' clean --all I've tried 0.1.1, same as version 0.1.0. Is there any helpful documentations or build examples? |
Same error here. Any updates about the reason? |
This can be solved by using the current version in |
does that working i meet the same situation.ERROR: invalid literal for int() with base 2: 'TrueFalseTrueTrueTrueTrueTrueTrue' |
python --version
): 3.7pip --version
): 21.2.4python -c "import torch; print(torch.__version__)"
): 1.10.2+cu102Description
I tried to encode and decode the image secret message, however, it failed to decode the messages, and returned:
What I Did
Firstly I ran:
steganogan encode --cpu --verbose --output enc.jpeg orig.jpg "123123"
The result is good, the shell responded:
And then I ran:
The result is failed, the shell responded:
And additional, there are some warning messages during these two runs:
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