updated cython wrapper README
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# Python Wrapper
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This is the Cython/Python wrapper around the GTSAM C++ library.
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This is the Python wrapper around the GTSAM C++ library. We use Cython to generate the bindings to the underlying C++ code.
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## Install
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## Requirements
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- if you want to build the gtsam python library for a specific python version (eg 2.7), use the `-DGTSAM_PYTHON_VERSION=2.7` option when running `cmake` otherwise the default interpreter will be used.
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- If you want to build the gtsam python library for a specific python version (eg 2.7), use the `-DGTSAM_PYTHON_VERSION=2.7` option when running `cmake` otherwise the default interpreter will be used.
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- If the interpreter is inside an environment (such as an anaconda environment or virtualenv environment) then the environment should be active while building gtsam.
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- This wrapper needs Cython(>=0.25.2), backports_abc>=0.5, and numpy. These can be installed as follows:
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- This wrapper needs `Cython(>=0.25.2)`, `backports_abc(>=0.5)`, and `numpy(>=1.11.0)`. These can be installed as follows:
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```bash
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pip install -r <gtsam_folder>/cython/requirements.txt
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```
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- For compatibility with gtsam's Eigen version, it contains its own cloned version of [Eigency](https://github.com/wouterboomsma/eigency.git),
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named **gtsam_eigency**, to interface between C++'s Eigen and Python's numpy.
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named `gtsam_eigency`, to interface between C++'s Eigen and Python's numpy.
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- Build and install gtsam using cmake with `GTSAM_INSTALL_CYTHON_TOOLBOX` enabled.
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The wrapped module will be installed to `GTSAM_CYTHON_INSTALL_PATH`, which is
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by default: `<your CMAKE_INSTALL_PREFIX>/cython`
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## Install
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- Run cmake with the `GTSAM_INSTALL_CYTHON_TOOLBOX` cmake flag enabled to configure building the wrapper. The wrapped module will be built and copied to the directory defined by `GTSAM_CYTHON_INSTALL_PATH`, which is by default: `<CMAKE_INSTALL_PREFIX>/cython.build`.
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- To use the library without installing system-wide: modify your `PYTHONPATH` to include the `GTSAM_CYTHON_INSTALL_PATH`:
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```bash
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export PYTHONPATH=$PYTHONPATH:<GTSAM_CYTHON_INSTALL_PATH>
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```
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- To install system-wide: run `make install` then navigate to `GTSAM_CYTHON_INSTALL_PATH` and run `python setup.py install`
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- (the same command can be used to install into a virtual environment if it is active)
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- note: if you don't want gtsam to install to a system directory such as `/usr/local`, pass `-DCMAKE_INSTALL_PREFIX="./install"` to cmake to install gtsam to a subdirectory of the build directory.
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- if you run `setup.py` from the build directory rather than the installation directory, the script will warn you with the message: `setup.py is being run from an unexpected location`.
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Before `make install` is run, not all the components of the package have been copied across, so running `setup.py` from the build directory would result in an incomplete package.
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- Build GTSAM and the wrapper with `make`.
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- To install system-wide, simply run `make install`.
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- The same command can be used to install into a virtual environment if it is active.
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- **NOTE**: if you don't want gtsam to install to a system directory such as `/usr/local`, pass `-DCMAKE_INSTALL_PREFIX="./install"` to cmake to install gtsam to a subdirectory of the build directory.
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- If you run `setup.py` from the build directory rather than the installation directory, the script will warn you with the message: `setup.py is being run from an unexpected location`.
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## Unit Tests
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@ -47,48 +50,32 @@ See the tests for examples.
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- Vector/Matrix:
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+ GTSAM expects double-precision floating point vectors and matrices.
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Hence, you should pass numpy matrices with dtype=float, or 'float64'.
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Hence, you should pass numpy matrices with `dtype=float`, or `float64`.
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+ Also, GTSAM expects *column-major* matrices, unlike the default storage
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scheme in numpy. Hence, you should pass column-major matrices to gtsam using
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the flag order='F'. And you always get column-major matrices back.
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For more details, see: https://github.com/wouterboomsma/eigency#storage-layout---why-arrays-are-sometimes-transposed
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+ Passing row-major matrices of different dtype, e.g. 'int', will also work
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For more details, see [this link](https://github.com/wouterboomsma/eigency#storage-layout---why-arrays-are-sometimes-transposed).
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+ Passing row-major matrices of different dtype, e.g. `int`, will also work
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as the wrapper converts them to column-major and dtype float for you,
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using numpy.array.astype(float, order='F', copy=False).
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However, this will result a copy if your matrix is not in the expected type
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and storage order.
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- Inner namespace: Classes in inner namespace will be prefixed by <innerNamespace>_ in Python.
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Examples: noiseModel_Gaussian, noiseModel_mEstimator_Tukey
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Examples: `noiseModel_Gaussian`, `noiseModel_mEstimator_Tukey`
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- Casting from a base class to a derive class must be done explicitly.
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Examples:
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```Python
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```python
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noiseBase = factor.noiseModel()
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noiseGaussian = dynamic_cast_noiseModel_Gaussian_noiseModel_Base(noiseBase)
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```
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## Wrapping Your Own Project That Uses GTSAM
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## Wrapping Custom GTSAM-based Project
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- Set PYTHONPATH to include ${GTSAM_CYTHON_INSTALL_PATH}
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+ so that it can find gtsam Cython header: gtsam/gtsam.pxd
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- In your CMakeList.txt
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```cmake
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find_package(GTSAM REQUIRED) # Make sure gtsam's install folder is in your PATH
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set(CMAKE_MODULE_PATH "${CMAKE_MODULE_PATH}" "${GTSAM_DIR}/../GTSAMCMakeTools")
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# Wrap
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include(GtsamCythonWrap)
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include_directories(${GTSAM_EIGENCY_INSTALL_PATH})
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wrap_and_install_library_cython("your_project_interface.h"
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"from gtsam.gtsam cimport *" # extra import of gtsam/gtsam.pxd Cython header
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"your_install_path"
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"libraries_to_link_with_the_cython_module"
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"dependencies_which_need_to_be_built_before_the_wrapper"
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)
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#Optional: install_cython_scripts and install_cython_files. See GtsamCythonWrap.cmake.
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```
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Please refer to the template project and the corresponding tutorial available [here](https://github.com/borglab/gtsam-project-python).
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## KNOWN ISSUES
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