Ajout environment.yml (0d246870) · Commits · Sacha Pronost / Deep Learning Voiture autonome

README.md

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		# Deep Learning Voiture autonome - Projet M1
		## PRONOST Sacha, VASSE Thomas, BERNEAUD Noah, NEVEU Thomas

		## Installation environnement
		### Pour installer l'environnement conda, il vous suffit de lancer la commande suivante:
		```conda env create -f environment.yml```

		### Pour activer l'environnement, il vous suffit de lancer la commande suivante:
		```conda activate deepLearningVehicule```

		### Pour lancer le notebook, il vous suffit de lancer la commande suivante:
		```jupyter notebook```
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environment.yml

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		name: deepLearningVehicule
		channels:
		- defaults
		dependencies:
		- ca-certificates=2023.01.10=haa95532_0
		- openssl=1.1.1s=h2bbff1b_0
		- pip=22.3.1=py39haa95532_0
		- python=3.9.16=h6244533_0
		- sqlite=3.40.1=h2bbff1b_0
		- tzdata=2022g=h04d1e81_0
		- vc=14.2=h21ff451_1
		- vs2015_runtime=14.27.29016=h5e58377_2
		- wheel=0.37.1=pyhd3eb1b0_0
		- wincertstore=0.2=py39haa95532_2
		- pip:
		- absl-py==1.3.0
		- aiohttp==3.8.3
		- aiosignal==1.3.1
		- albumentations==1.3.0
		- alembic==1.8.1
		- altgraph==0.17.3
		- antlr4-python3-runtime==4.8
		- anyio==3.6.2
		- argon2-cffi==21.3.0
		- argon2-cffi-bindings==21.2.0
		- asttokens==2.2.1
		- async-timeout==4.0.2
		- attrs==22.1.0
		- autopage==0.5.1
		- backcall==0.2.0
		- beautifulsoup4==4.11.1
		- bleach==5.0.1
		- blis==0.7.9
		- cachetools==5.2.0
		- catalogue==2.0.8
		- category-encoders==2.2.2
		- certifi==2022.9.24
		- cffi==1.15.1
		- charset-normalizer==2.1.1
		- click==8.1.3
		- cliff==4.1.0
		- cmaes==0.9.0
		- cmd2==2.4.2
		- colorama==0.4.6
		- colorlog==6.7.0
		- confection==0.0.3
		- contourpy==1.0.6
		- cycler==0.11.0
		- cymem==2.0.7
		- cython==0.29.28
		- datasets==2.7.1
		- debugpy==1.6.4
		- decorator==5.1.1
		- defusedxml==0.7.1
		- dill==0.3.6
		- docstring-parser==0.15
		- efficientnet-pytorch==0.7.1
		- einops==0.3.0
		- emoji==2.2.0
		- entrypoints==0.4
		- executing==1.2.0
		- fastjsonschema==2.16.2
		- filelock==3.8.1
		- fire==0.4.0
		- flask==2.2.2
		- fonttools==4.38.0
		- frozenlist==1.3.3
		- fsspec==2022.11.0
		- ftfy==6.1.1
		- future==0.18.2
		- gensim==4.2.0
		- google-auth==2.15.0
		- google-auth-oauthlib==0.4.6
		- greenlet==2.0.1
		- grpcio==1.51.1
		- huggingface-hub==0.11.1
		- idna==3.4
		- imageio==2.22.4
		- importlib-metadata==5.1.0
		- ipykernel==6.17.1
		- ipython==8.7.0
		- ipython-genutils==0.2.0
		- ipywidgets==8.0.2
		- itsdangerous==2.1.2
		- jedi==0.18.2
		- jinja2==3.1.2
		- joblib==1.2.0
		- jsonargparse==4.9.0
		- jsonschema==4.17.3
		- jupyter==1.0.0
		- jupyter-client==7.4.8
		- jupyter-console==6.4.4
		- jupyter-core==5.1.0
		- jupyter-server==1.23.3
		- jupyterlab-pygments==0.2.2
		- jupyterlab-widgets==3.0.3
		- keras==2.11.0
		- kiwisolver==1.4.4
		- kornia==0.6.8
		- langcodes==3.3.0
		- lightning-bolts==0.4.0
		- lightning-flash==0.7.0
		- lightning-utilities==0.3.0
		- mako==1.2.4
		- markdown==3.4.1
		- markupsafe==2.1.1
		- matplotlib==3.6.2
		- matplotlib-inline==0.1.6
		- mistune==2.0.4
		- multidict==6.0.3
		- multiprocess==0.70.14
		- munch==2.5.0
		- murmurhash==1.0.9
		- nbclassic==0.4.8
		- nbclient==0.7.2
		- nbconvert==7.2.6
		- nbformat==5.7.0
		- nest-asyncio==1.5.6
		- networkx==2.8.8
		- nltk==3.7
		- notebook==6.5.2
		- notebook-shim==0.2.2
		- numpy==1.23.5
		- oauthlib==3.2.2
		- omegaconf==2.1.1
		- opencv-python==4.7.0.68
		- opencv-python-headless==4.6.0.66
		- optuna==2.10.1
		- packaging==21.3
		- pandas==1.1.5
		- pandocfilters==1.5.0
		- parso==0.8.3
		- pathy==0.10.0
		- patsy==0.5.3
		- pbr==5.11.0
		- pefile==2022.5.30
		- pickleshare==0.7.5
		- pillow==9.3.0
		- platformdirs==2.5.4
		- preshed==3.0.8
		- pretrainedmodels==0.7.4
		- prettytable==3.5.0
		- prometheus-client==0.15.0
		- prompt-toolkit==3.0.33
		- protobuf==3.20.1
		- psutil==5.9.4
		- pure-eval==0.2.2
		- pyarrow==10.0.1
		- pyasn1==0.4.8
		- pyasn1-modules==0.2.8
		- pycparser==2.21
		- pydantic==1.10.2
		- pydeprecate==0.3.0
		- pygments==2.13.0
		- pyinstaller==5.7.0
		- pyinstaller-hooks-contrib==2022.15
		- pyparsing==3.0.9
		- pyperclip==1.8.2
		- pyreadline3==3.4.1
		- pyrsistent==0.19.2
		- pystiche==1.0.1
		- python-dateutil==2.8.2
		- pytorch-forecasting==0.9.0
		- pytorch-lightning==1.3.6
		- pytorch-tabnet==3.0.0
		- pytorch-tabular==0.7.0
		- pytz==2022.6
		- pywavelets==1.4.1
		- pywin32==305
		- pywin32-ctypes==0.2.0
		- pywinpty==2.0.9
		- pyyaml==5.4.1
		- pyzmq==24.0.1
		- qtconsole==5.4.0
		- qtpy==2.3.0
		- qudida==0.0.4
		- regex==2022.10.31
		- requests==2.28.1
		- requests-oauthlib==1.3.1
		- responses==0.18.0
		- rsa==4.9
		- scikit-image==0.19.3
		- scikit-learn==0.24.2
		- scipy==1.9.3
		- seaborn==0.12.1
		- segmentation-models-pytorch==0.3.1
		- send2trash==1.8.0
		- sentence-transformers==2.2.2
		- sentencepiece==0.1.97
		- setuptools==59.5.0
		- six==1.16.0
		- smart-open==5.2.1
		- sniffio==1.3.0
		- soupsieve==2.3.2.post1
		- spacy==3.4.3
		- spacy-legacy==3.0.10
		- spacy-loggers==1.0.3
		- sqlalchemy==1.4.44
		- srsly==2.4.5
		- stack-data==0.6.2
		- statsmodels==0.13.5
		- stevedore==4.1.1
		- tensorboard==2.11.0
		- tensorboard-data-server==0.6.1
		- tensorboard-plugin-wit==1.8.1
		- tensorboardx==2.5.1
		- termcolor==2.1.1
		- terminado==0.17.1
		- thinc==8.1.5
		- threadpoolctl==3.1.0
		- tifffile==2022.10.10
		- timm==0.4.12
		- tinycss2==1.2.1
		- tokenizers==0.13.2
		- torch==1.13.0
		- torchmetrics==0.7.3
		- torchvision==0.14.0
		- tornado==6.2
		- tqdm==4.64.1
		- traitlets==5.6.0
		- transformers==4.25.1
		- typer==0.7.0
		- typing-extensions==4.4.0
		- urllib3==1.26.13
		- wasabi==0.10.1
		- wcwidth==0.2.5
		- webencodings==0.5.1
		- websocket-client==1.4.2
		- werkzeug==2.2.2
		- widgetsnbextension==4.0.3
		- wordcloud==1.8.2.2
		- xxhash==3.1.0
		- yarl==1.8.2
		- zipp==3.11.0
		prefix: C:\Users\sacha\anaconda3\envs\deepLearningVehicule