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GitHub / AdneneBoumessouer / MVTec-Anomaly-Detection
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Stars: 244
Forks: 54
Open Issues: 27
License: None
Language: Python
Repo Size: 419 MB
Dependencies:
128
Created: over 4 years ago
Updated: 7 months ago
Last pushed: over 1 year ago
Last synced: 6 months ago
Topics: anomaly-detection, anomaly-localization, anomaly-segmentation, auto-encoder, convolutional-autoencoder, mvtec, ssim, structural-similarity, surface-inspection, unsupervised
Files
Dependencies
- Jinja2 ==2.11.2
- Keras ==2.4.3
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.2
- Markdown ==3.2.2
- MarkupSafe ==1.1.1
- PyWavelets ==1.1.1
- PyYAML ==5.3.1
- Pygments ==2.7.1
- Send2Trash ==1.5.0
- Werkzeug ==1.0.1
- Whoosh ==2.7.4
- absl-py ==0.10.0
- appdirs ==1.4.4
- argon2-cffi ==20.1.0
- astor ==0.8.1
- async-generator ==1.10
- backcall ==0.2.0
- black ==19.10b0
- bleach ==3.2.0
- bokeh ==2.2.1
- cachetools ==4.1.1
- cchardet ==2.1.6
- certifi ==2020.6.20
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- cycler ==0.10.0
- cytoolz ==0.10.1
- decorator ==4.4.2
- defusedxml ==0.6.0
- entrypoints ==0.3
- fastprogress ==1.0.0
- filelock ==3.0.12
- gast ==0.2.2
- google-auth ==1.21.2
- google-auth-oauthlib ==0.4.1
- google-pasta ==0.2.0
- grpcio ==1.32.0
- h5py ==2.10.0
- idna ==2.10
- importlib-metadata ==1.7.0
- ipykernel ==5.3.4
- ipython ==7.18.1
- ipython-genutils ==0.2.0
- jedi ==0.17.2
- jieba ==0.42.1
- joblib ==0.16.0
- jsonschema ==3.2.0
- jupyter-client ==6.1.7
- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- keras-bert ==0.86.0
- keras-embed-sim ==0.8.0
- keras-layer-normalization ==0.14.0
- keras-multi-head ==0.27.0
- keras-pos-embd ==0.11.0
- keras-position-wise-feed-forward ==0.6.0
- keras-self-attention ==0.46.0
- keras-transformer ==0.38.0
- kiwisolver ==1.2.0
- ktrain ==0.21.3
- langdetect ==1.0.8
- lazy-object-proxy ==1.4.3
- matplotlib ==3.3.2
- mccabe ==0.6.1
- mistune ==0.8.4
- mkl-fft ==1.1.0
- mkl-random ==1.1.1
- mkl-service ==2.3.0
- mypy-extensions ==0.4.3
- nbclient ==0.5.0
- nbconvert ==6.0.3
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.1.4
- numpy ==1.19.2
- oauthlib ==3.1.0
- olefile ==0.46
- opt-einsum ==3.3.0
- packaging ==20.4
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pathspec ==0.7.0
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- protobuf ==3.13.0
- ptyprocess ==0.6.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycparser ==2.20
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- python-dateutil ==2.8.1
- pytz ==2020.1
- pyzmq ==19.0.2
- requests ==2.24.0
- requests-oauthlib ==1.3.0
- rsa ==4.6
- sacremoses ==0.0.43
- scikit-image ==0.16.2
- scikit-learn ==0.23.2
- sentencepiece ==0.1.91
- seqeval ==0.0.12
- six ==1.15.0
- syntok ==1.3.1
- tensorboard ==2.1.1
- tensorflow ==2.1.0
- tensorflow-estimator ==2.1.0
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- threadpoolctl ==2.1.0
- tokenizers ==0.8.1rc2
- toolz ==0.10.0
- tornado ==6.0.4
- tqdm ==4.49.0
- traitlets ==5.0.4
- transformers ==3.1.0
- typed-ast ==1.4.1
- urllib3 ==1.25.10
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wrapt ==1.12.1
- zipp ==3.1.0