A tool box to use for process sfm point cloud of the tree and get the tree structure
Project description
Point Cloud Tree Detection Example
This code was adapted from work by Neal Swayze and Wade Tinkham (2022) to ingest raw point cloud data for processing and analysis of forest structure metrics.
Point Cloud Tree Detection Python Interface
This R-Python interface allows program to run under CLI, and convert R code to Python environment for further ML development. The environment was packed into a container by apptainer The container used for this program can be found HERE
usage
#install Apptainer (for ubuntu)
sudo add-apt-repository -y ppa:apptainer/ppa
sudo apt update
sudo apt install -y apptainer
#Download container image (use gdown)
gdown https://drive.google.com/uc?id=1WWhHFDZQIiv2lr2rtfAXd-BCcJlUhrCc
#clone this repository
git clone https://github.com/jldz9/point_cloud_tree_detection_ex.git
cd point_cloud_tree_detection_ex
#Put the container image you downloaded from google drive "las_tree_container.sif" in current folder
#Get example data
apptainer exec ./las_tree_container.sif ./las_tree.py --example_data
#Init CONFIG file
apptainer exec ./las_tree_container.sif ./las_tree.py --generate_config
#Run the point cloud tree detection
apptainer exec ./las_tree_container.sif ./las_tree.py -p ./CONFIG
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