mirror of
https://github.com/prise6/smart-iss-posts
synced 2024-04-27 19:32:44 +02:00
97 lines
3.4 KiB
Markdown
97 lines
3.4 KiB
Markdown
SmartISSPosts
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==============================
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_Work In Progress_
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Project to identify nice pics from live ISS
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## Poster examples
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Project Organization
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------------
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├── LICENSE
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├── Makefile <- Makefile with commands like `make data` or `make train`
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├── README.md <- The top-level README for developers using this project.
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├── data
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│ ├── external <- Data from third party sources.
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│ ├── interim <- Intermediate data that has been transformed.
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│ ├── processed <- The final, canonical data sets for modeling.
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│ └── raw <- The original, immutable data dump.
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│
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├── docs <- A default Sphinx project; see sphinx-doc.org for details
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│
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├── models <- Trained and serialized models, model predictions, or model summaries
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│
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├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
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│ the creator's initials, and a short `-` delimited description, e.g.
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│ `1.0-jqp-initial-data-exploration`.
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│
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├── references <- Data dictionaries, manuals, and all other explanatory materials.
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│
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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│ └── figures <- Generated graphics and figures to be used in reporting
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│
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
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│ generated with `pip freeze > requirements.txt`
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│
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├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
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├── src <- Source code for use in this project.
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│ ├── __init__.py <- Makes src a Python module
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│ │
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│ ├── data <- Scripts to download or generate data
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│ │ └── make_dataset.py
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│ │
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│ ├── features <- Scripts to turn raw data into features for modeling
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│ │ └── build_features.py
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│ │
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│ ├── models <- Scripts to train models and then use trained models to make
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│ │ │ predictions
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│ │ ├── predict_model.py
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│ │ └── train_model.py
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│ │
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│ └── visualization <- Scripts to create exploratory and results oriented visualizations
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│ └── visualize.py
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│
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└── tox.ini <- tox file with settings for running tox; see tox.testrun.org
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--------
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<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
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## Personal Note:
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original size : 1280x720
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cut size : 48x27
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inch = 2.54cm
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150dpi
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300dpi
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http://www.altelia.fr/actualites/calculateur-resolution-definition-format.htm
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https://fr.wikipedia.org/wiki/Point_par_pouce
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2880px X 4320px
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donne : (en 150 dpi)
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48.77cm x 73.15cm
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bordure de 60px pour 1 cm en 150dpi
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version2 :
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* e63e25b
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* df89064
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* d4cb94
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* c2ff00
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* 2e58ed9 : ok
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* 2b11acbe
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* 2575f6
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* 1b4cb13: ok |