PlugIn IGN for PDAL

Compile

You need to have conda!

Create the ign_pdal_tools conda environment using the environment.yml file to be able to run the compilation in this environment.

linux/mac

run ci/build.sh

Set the PDAL_DRIVER_PATH environment variable to point to ${THIS REPO}/install/lib in order for pdal to find the plugins.

Windows

one day, maybe...

Architecture of the code

The code is structured as:

├── src
│   ├── plugin folder
│   │   ├── pluginFilter.cpp
│   │   ├── pluginFilter.h
│   │   ├── CMakeLists.txt
├── doc
│   ├── pluginFilter.md
├── examples  # examples of usage of the code or the docker image
├── ci
├── macro  # Python module with ready-to-use filters combinations
│   ├── __init__.py
│   ├── macro.py
│   ├── version.py
│   └── *.py  # Example scripts to use the plugin filters + the filters combinations contained in `macro`
├── test
├── CMakeLists.txt
├── environment*.yml
├── Dockerfile
├── pyproject.toml  # Setup file to install the `macro` python module with pip
├── .github
└── .gitignore

Run the tests

Each plugin should have his own test. To run all tests:

python -m pytest -s

List of Filters

grid decimation [Deprecated: use the gridDecimation filter from the pdal repository]

radius assign

Adding a filter

In order to add a filter, you have to add a new folder in the src directory :

├── src
│   ├── filter_my_new_PI
│   │   ├── my_new_PI_Filter.cpp
│   │   ├── my_new_PI_Filter.h
│   │   ├── CMakeLists.txt

The name of the folder informs of the plugIN nature (reader, writer, filter).

The code should respect the documentation proposed by pdal: build a pdal plugin. Be careful to change if the plugIn is a reader, a writer or a filter.

The CMakeList should contain:

file( GLOB_RECURSE GD_SRCS ${CMAKE_SOURCE_DIR} *)

PDAL_CREATE_PLUGIN(
    TYPE filter
    NAME my_new_PI
    VERSION 1.0
    SOURCES ${GD_SRCS}
)

install(TARGETS pdal_plugin_filter_my_new_PI)

You should complete the main CMakeList by adding the new plugIN:

add_subdirectory(src/filter_my_new_PI)

Each plugIN has his own md file in the doc directory, structured as the model.

Don't forget to update the list with a link to the documentation.

macro python module usage

The macro python module is installed in the project docker image so that it can be imported from anywhere in the docker image.

Syntax to use it in a python script

from pdal_ign_macro import macro

marco.my_macro(...)

See the scripts folder for example usages of this module.

Usage from outside the docker image:

If you have a python script on your computer, you can mount its containing folder as a volume in order to run it in the docker image.

Example:

docker run \
    -v /my/data/folder:/data \
    -v  /my/output/folder:/output \
    -v /my/script/folder:/scripts \
    pdal_ign_plugin \
    python /scripts/my_script.py --input /data/my_data_file.las -o /output/my_output.las

Another example can be found in the ./example folder:

Run the following command to run the demo_script python script which copies an input las file into the output folder as a las1.4 file :

./examples/run_custom_script_in_docker_image.sh -i ./test/data/mnx/input/bat.laz -o ./tmp/demo -s ./examples/demo_script.py