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halloTheCoder / car-damage-evaluation-using-deep-learning

Using deep learninig and computer-vision to classify damaged cars and making a simple web app using flask and bootstrap
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environment setup details #3

Open sahithkumar1994 opened 5 years ago

sahithkumar1994 commented 5 years ago

can you add the version details of tensorflow, keras, and other packages

Adesoji1 commented 9 months ago

@sahithkumar1994 This is the requirement.txt for the webapp.

absl-py==2.1.0 astunparse==1.6.3 cachetools==5.3.2 certifi==2023.11.17 charset-normalizer==3.3.2 clang==5.0 click==8.1.7 contourpy==1.1.1 cycler==0.12.1 Flask==2.0.3 flatbuffers==1.12 fonttools==4.47.2 gast==0.4.0 google-auth==2.27.0 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 grpcio==1.60.0 h5py==3.1.0 idna==3.6 importlib-metadata==7.0.1 importlib-resources==6.1.1 itsdangerous==2.1.2 Jinja2==3.1.1 keras==2.9.0 Keras-Preprocessing==1.1.2 kiwisolver==1.4.5 libclang==16.0.6 Markdown==3.5.2 MarkupSafe==2.1.4 matplotlib==3.7.4 numpy==1.24.4 oauthlib==3.2.2 opt-einsum==3.3.0 packaging==23.2 pillow==10.2.0 protobuf==3.19.0 pyasn1==0.5.1 pyasn1-modules==0.3.0 pyparsing==3.1.1 python-dateutil==2.8.2 requests==2.31.0 requests-oauthlib==1.3.1 rsa==4.9 six==1.15.0 tensorboard==2.9.1 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.1 tensorflow-estimator==2.9.0 tensorflow-gpu==2.9.0 tensorflow-io-gcs-filesystem==0.34.0 termcolor==1.1.0 typing-extensions==3.7.4.3 urllib3==2.1.0 Werkzeug==2.3.0 wrapt==1.12.1 zipp==3.17.0