Metadata-Version: 2.4
Name: silvimetric
Version: 2.0.0
Summary: A forestry LiDAR processing package
Author-email: Kyle Mann <kyle@hobu.co>, Howard Butler <howard@hobu.co>
Maintainer-email: Kyle Mann <kyle@hobu.co>
License: Apache-2.0
Project-URL: homepage, https://github.com/hobuinc/silvimetric
Project-URL: repository, https://github.com/hobuinc/silvimetric
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Dynamic: license-file

## 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.

[<img src="https://github.com/hobuinc/silvimetric/blob/main/docs/source/logo/Logos/PNG/SilviMeteric_Logo_2c.png?raw=true">](https://silvimetric.com/)

### 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`, `GDAL`, 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`, `GDAL`, and `PDAL` from source before installing the python packages that are dependent on those (`python-pdal`, `gdal`, `tiledb-py`).

##### Pip

```
conda install silvimetric --only-deps
pip install silvimetric
```

##### Conda

```
conda 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 .
```
