Update of documentation

.gitignore

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+.vscode
+
 runs
 .python-version
 .ipynb_checkpoints

LICENSE

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+MIT License
+Copyright (c) 2019 prise-3d
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+

README.md

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+# Noise Generation
+
+## Description
+
+Study of how to generate noise filter from monte carlo rendering in synthesis images using Generative Adversarial Network approach. The aim of this project is to reproduce monte carlo noise obtained during rendering.
+
+## How to use ?
+
+```bash
+pip install -r requirements.txt
+```
+
+```bash
+python prepare_data.py
+```
+
+```bash
+python ganSynthesisImage_200.py
+```
+
+## Contributors
+
+* [jbuisine](https://github.com/jbuisine)
+
+## License
+
+[MIT](https://github.com/prise-3d/IPFML/blob/master/LICENSE)