CAD Mixer is a simple cad file converter licensed under MIT!
We are using Github Projects as a Kanban Board + Github Issues tracker. Since we are working on this on the side the release will be sporadic for a while until things stabilize.
Please read the code of conduct before participating on the project so that we are all on the same page!
If you notice a bug or you want to propose a new feature please fill up a issue! If you want to contribute to the project please join our discord server and let us know what you want to work on!
To add a contribution make a fork of the project, notify which issue you are working on and then when ready make a Pull Request.
The communication for this project happens on our CAD Mixer Community Discord Server you can join by clicking on this invite: https://discord.gg/3ErkNJZmsa
We use Github Actions to triggers some continuous integration steps. So far we have the following:
- Linting with flake8
- Run tests with pytest
It's important to add the proper tests when you create a new functionality to have sufficient coverage. We might also change testing framework if we happen to move from python to C++. However at the time of writing dxf2png main function is in python!
| Input / Output |
DXF | STEP | STL | IGES | PNG | |
| DXF | ❌ | ❌ | ||||
| STEP | ❌ | ❌ | ||||
| STL | ✔️ | ❌ | ||||
| IGES | ❌ | ❌ | ||||
| PNG | ✔️ | ❌ | ||||
| ❌ | ❌ |
This program converts STEP files to STL files.
This project includes the PythonOCC CAD converter from STEP to STL file format.
STEP is the most popular file format defined by the ISO 10303-21 standard.
One may run the application in CLI as follows:
python main.py -i input.stp -o output.stlor
python main.py --input input.dxf --output output.pngBoth input and output files are set relative to the script's root directory, i.e. should be located in the same directory.
Since PythonOCC used for convertion is not available with pip, the installation requires conda installed.
- Create a virtual environment:
conda create -n cad-mixer - Activate the environment:
conda activate cad-mixer - Install PythonOCC:
conda install -c dlr-sc pythonocc-core=7.4.0 - Deactivate the environment when done:
conda deactivate
This assumes that the dependencies were installed with conda in a virtual environment. It also requires PyInstaller instelled pip install pyinstaller.
- Go to the stp2stl folder (if not there already):
cd stp2stl - Run the installation:
pyinstaller --onefile --windowed main.py
This program converts DXF files to PNG image format.
One may run the application in CLI as follows:
python main.py -i input.dxf -o output.pngor
python main.py --input input.dxf --output output.pngBoth input and output files are set relative to the script's root directory, i.e. should be located in the same directory.
- Create a virtual environment:
virtualenv -p /usr/bin/python3 venv - Activate the environment:
source venv/bin/activate - Run the atomatic installer:
python setup.py - Deactivate the environment when done:
deactivate
The resulting executable file is placed to the dist folder at the same path as main.py. It can be used as follows:
cd dist
./dxf2png -i input_file.dxf -o output_file.png- Create a virtual environment:
virtualenv -p /usr/bin/python3 venv - Activate the environment:
source venv/bin/activate - Install the requirements (PIP is required):
pip install -r requirements.txt - Deactivate the environment when done:
deactivate
This assumes that the dependencies were installed with PIP in a virtual environment (see the Setup with Virtualenv section). Conda handles dependencies in a trickier way and this might not work.
- Go to the dxf2png folder (if not there already):
cd dxf2png - Run the installation:
pyinstaller -F -w --paths "./../venv/lib/python3.8/site-packages/" --exclude-module tkinter --onefile -n dxf2png main.py