A forestry LiDAR processing package
Project description
SilviMetric
SilviMetric is an open source library and set of command line utilities for extracting point cloud metrics into a TileDB database. See https://silvimetric.com for documentation and tutorials.
Development
GitHub hosts the project at https://github.com/hobuinc/silvimetric
Installation
These scripts will install Silvimetric
dependencies as python libraries to the conda environment silvimetric.
Silvimetric
requires that we install some packages from conda
(TileDB
, and PDAL
) so it's usually easier to use only conda
to handle your environment. If this is unavailable to you, you will need to install TileDB
and PDAL
from source before installing the python packages that are dependent on those (python-pdal
and tiledb-py
).
Pip and Conda
conda env create -f https://raw.githubusercontent.com/hobuinc/silvimetric/main/environment.yml
conda activate silvimetric
pip install silvimetric
Source
git clone https://github.com/hobuinc/silvimetric.git && cd silvimetric
conda env create -f environment.yml && conda activate silvimetric
pip install .
# To install for development:
# pip install -e .
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file silvimetric-1.2.1.tar.gz
.
File metadata
- Download URL: silvimetric-1.2.1.tar.gz
- Upload date:
- Size: 42.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 95c1c949dd9c0b75a1c23d282f056da48336a32dde0e58dfb1661a8d089beacb |
|
MD5 | 6856603a4cc7f15da90e2dd471092e03 |
|
BLAKE2b-256 | 4fa6aab5b6e973dd6e36a379f2adc36c352ab28922ecf6934fc5c120ac5a8758 |
File details
Details for the file silvimetric-1.2.1-py3-none-any.whl
.
File metadata
- Download URL: silvimetric-1.2.1-py3-none-any.whl
- Upload date:
- Size: 42.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aff411de70b5aaeeda9cdfa5eae84256daf68c7c80fbc840c0d01672e57a407f |
|
MD5 | ec2904fe1bce7a17a67d6e8d25253a2a |
|
BLAKE2b-256 | 7c1394ee009f11e3bd11305d3586dc7f06a88fd3fe4a21e031fcf8b1220c71a5 |