posylinnnn
commented
1 year ago Not working for me.
Results: https://download.nkg-mn.com/credo/not_working.pdf
What I doing:
- git clone
- create venv
- install current versions of tensorflow and other dependency
- run all in jupyter
Training stops on epoch 00087 by early stopping (on Windows stops on epoch 00061). In you stops on epoch 00478.
Reconstructed images are gray.
Distribution of Density Scores very different than you.
Crash in "Check what proportion of onion images are classified as anomalous".
Maybe I use different versions of libraries. Can you publish your
pip freezeresult?
- Linux Mint 20.1 (Ubuntu 18.04)
- Python 3.8.10
pip freeze:absl-py==1.0.0 argon2-cffi==21.1.0 astunparse==1.6.3 attrs==21.2.0 backcall==0.2.0 bleach==4.1.0 cachetools==4.2.4 certifi==2021.10.8 cffi==1.15.0 charset-normalizer==2.0.8 cycler==0.11.0 debugpy==1.5.1 decorator==5.1.0 defusedxml==0.7.1 entrypoints==0.3 flatbuffers==2.0 fonttools==4.28.2 gast==0.4.0 google-auth==2.3.3 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 grpcio==1.42.0 h5py==3.6.0 idna==3.3 importlib-metadata==4.8.2 importlib-resources==5.4.0 ipykernel==6.5.1 ipython==7.29.0 ipython-genutils==0.2.0 ipywidgets==7.6.5 jedi==0.18.1 Jinja2==3.0.3 joblib==1.1.0 jsonschema==4.2.1 jupyter==1.0.0 jupyter-client==7.1.0 jupyter-console==6.4.0 jupyter-core==4.9.1 jupyterlab-pygments==0.1.2 jupyterlab-widgets==1.0.2 keras==2.7.0 Keras-Preprocessing==1.1.2 kiwisolver==1.3.2 libclang==12.0.0 Markdown==3.3.6 MarkupSafe==2.0.1 matplotlib==3.5.0 matplotlib-inline==0.1.3 mistune==0.8.4 nbclient==0.5.9 nbconvert==6.3.0 nbformat==5.1.3 nest-asyncio==1.5.1 notebook==6.4.6 numpy==1.21.4 oauthlib==3.1.1 opt-einsum==3.3.0 packaging==21.3 pandocfilters==1.5.0 parso==0.8.2 pexpect==4.8.0 pickleshare==0.7.5 Pillow==8.4.0 prometheus-client==0.12.0 prompt-toolkit==3.0.22 protobuf==3.19.1 ptyprocess==0.7.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycparser==2.21 Pygments==2.10.0 pyparsing==3.0.6 pyrsistent==0.18.0 python-dateutil==2.8.2 pyzmq==22.3.0 qtconsole==5.2.1 QtPy==1.11.2 requests==2.26.0 requests-oauthlib==1.3.0 rsa==4.8 scikit-learn==1.0.1 scipy==1.7.3 Send2Trash==1.8.0 setuptools-scm==6.3.2 six==1.16.0 sklearn==0.0 tensorboard==2.7.0 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.0 tensorflow==2.7.0 tensorflow-estimator==2.7.0 tensorflow-io-gcs-filesystem==0.22.0 termcolor==1.1.0 terminado==0.12.1 testpath==0.5.0 threadpoolctl==3.0.0 tomli==1.2.2 tornado==6.1 traitlets==5.1.1 typing_extensions==4.0.0 urllib3==1.26.7 wcwidth==0.2.5 webencodings==0.5.1 Werkzeug==2.0.2 widgetsnbextension==3.5.2 wrapt==1.13.3 zipp==3.6.0Please run
pip freeze > requirements.txtalways and publish to repo. It is standard of python projects. When I haverequirements.txti can install the same versions than you bypip install -r requirements.txt.
hello, May I ask if your problem is solved? I'm having the same problem that the reconstructed image is grayed out and I don't know how to fix it.
Not working for me.
Results: https://download.nkg-mn.com/credo/not_working.pdf
What I doing:
Training stops on epoch 00087 by early stopping (on Windows stops on epoch 00061). In you stops on epoch 00478.
Reconstructed images are gray.
Distribution of Density Scores very different than you.
Crash in "Check what proportion of onion images are classified as anomalous".
Maybe I use different versions of libraries. Can you publish your
pip freezeresult?pip freeze:Please run
pip freeze > requirements.txtalways and publish to repo. It is standard of python projects. When I haverequirements.txti can install the same versions than you bypip install -r requirements.txt.