c'est projet a pour but d'optimiser ou de reduire le temps consommer par un dessinateur 3D ou 2D pour trace ou convertir un plan 2D en 3D et vice versa.Grace a l'utilisation de la Deep Learning on ait possible de faire avec de erreur le plus petit que faite par un etre humain .Donc a partir de maintenant , juste en une seule clique bouton et attend quelque minute , vous avez fait le travail de plus de dizaine de dessineur.
├── config <- Directory containing configuration files
├── README.md <- The top-level README for developers using this project.
├── dataset <- Sample data from different sources for unit and integration tests
│ ├── LasFile <- Data filter
│ └── PointCloud <- The original data.
│
├── docs
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements
│
│
├── setup.py <- Make this project pip installable with `pip install -e`
├── tests <- The pytest tests root directory for unit / integration / e2e tests
├── src/ML_VR3D
│ ├── __init__.py
│ │
│ ├── util <- Scripts with common processing
│ │
│ ├── data <- Scripts to download or generate data
| | ├── __init__.py
│ │ └── common
| | | |_ Labelisation.py <- script labelize automaticaly data
│ │ └── H5_file <- Transform xyz value to H5 and extracte new feature
│ │
│ │
│ ├── iamodels <- Scripts to train IA models and then use trained models to make
│ │ │ predictions
| | ├── __init__.py
│ │ ├── predict_model.py
│ │ └── train_model.py
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
All you need is the following configuration already installed:
- Git
- pyenv prerequisites for ubuntu. Check the prerequisites for your OS.
sudo apt-get update; sudo apt-get install make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm \
libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
pyenvinstalled and available in path pyenv installation with Prerequisites- For tests/integration tests with mongoDB, you need Docker
-
Auto format via IDE https://github.com/psf/black#pycharmintellij-idea
-
[Optional] You could setup a pre-commit to enforce Black format before commit https://github.com/psf/black#version-control-integration
-
Or remember to type
black .to apply the black rules formatting to all sources before commit -
Jenkins will complain and tests will fail if black format is not applied
-
Add same mypy option for vscode in
Preferences: Open User Settings -
Use the option to lint/format with black and flake8 on editor save in vscode
Checked optional type with Mypy PEP 484
Configure Mypy to help annotating/hinting type with Python Code. It's very useful for IDE and for catching errors/bugs early.
- Install mypy plugin for intellij
- Adjust the plugin with the following options:
"--follow-imports=silent", "--show-column-numbers", "--ignore-missing-imports", "--disallow-untyped-defs", "--check-untyped-defs" - Work in Progress to adjust Mypy preferences
- Documentation: Type hints cheat sheet (Python 3)
- Add same mypy option for vscode in
Preferences: Open User Settings
Detect Code Quality and Security issues on the fly
- isort is the default on pycharm
- isort with vscode
- Lint/format/sort import on save with vscode in
Preferences: Open User Settings:
{
"editor.formatOnSave": true,
"python.formatting.provider": "black",
"[python]": {
"editor.codeActionsOnSave": {
"source.organizeImports": true
}
}
}
- isort configuration for pycharm. See Set isort and black formatting code in pycharm
- You can use
make lintcommand to check flake8/mypy rules & apply automatically format black and isort to the code with the previous configuration
isort . --virtual-env dspioenv
Le model de base de ce project et le pointnet, visible sur Github Pointnet
