add compile documentation for python bindings

README.md

@@ -16,24 +16,31 @@ cmake --build build -j $(nproc)
 ```
 Provided that you have the necessary graphics packages installed (if not the case, see [here](Dependencies.md)) CMake will download the required dependencies and compile the executable.
 
+## Python bindings
+To compile the Python bindings and install dependencies:
+```
+cmake -B build -DPYTHON_BINDINGS=ON -DCMAKE_BUILD_TYPE=Release
+cmake --build build --target install -j $(nproc)
+pip install -r python/requirements.txt
+```
+Then you can run the Python app: ```python python/main.py```
+
 ## Optional dependencies 
 
-These libraries can downloaded for better performance:
-- [OR-Tools](https://developers.google.com/optimization/install/cpp/binary_linux): the path where the downloaded archive has been extracted should be specified in the ```${ORTOOLS_PATH}``` variable in ```CMakeLists.txt```.
-- [MKL Pardiso](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html)
+CMake will automatically detect if you have either [MKL Pardiso](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html) or [SuiteSparse](https://people.engr.tamu.edu/davis/suitesparse.html) installed on your system, in which case they will be used for faster linear system solving.
 
 ## How to run
 From the command line, specify which mesh file (stored in ```/data/```) should be opened. For example with ```beetle.obj```  simply run
 ```
-build/shrink_morph beetle
+build/app/shrink_morph_app data/beetle.obj
 ```
 For those who prefer to use a command-line version of a the app, use the ```shrink_morph_cli``` executable:
 ```
-build/shrink_morph_cli mesh wD width nFmin
+build/app/shrink_morph_cli mesh wD width nFmin
 ```
 with ```mesh``` the name of the input mesh, ```wD``` the smoothing factor (0 by default), ```width``` the width of the flattened plate in mm, and ```nFmin``` the minimum number of faces in the input mesh (it gets iteratively subdivided until reaching this value). For example, to generate the same results as the ```hat``` model in the paper, type:
 ```
-build/shrink_morph_cli hat 0.1 100 10000
+build/app/shrink_morph_cli data/hat.obj 0.1 100 10000
 ```
 
 To generate the final gcode files, use the togcode.py script. Its inputs are the .path file generated by the app, the name of your printer (only a few have been tested, use with caution!) and optionally the name of the output file, here is an example: