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TIMA Min Dif Processor

Project description

TIMA Mindif Processor v1.5.2

PyPI version pipeline status coverage report

Getting Started

install from pypi

pip install tima-mindef

Install direct from git (Note: this is currently a private repository)

pip install git+https://gitlab.com/csiro-geoanalytics/tima-utils/tima-mindif-processor.git

Or clone the repo so you can make changes or view the code, note the -e in the pip install is optional, it makes it so any code changes are automatically picked up.

git clone https://gitlab.com/csiro-geoanalytics/tima-utils/tima-mindif-processor.git
<Navigate to the code directory>
pip install -e .

If you would like to work on the code in a virtual env a pipfile is available

pip install pipenv
pipenv install
pipenv shell

Usage

Once it's installed use the command 'tima-mindef'

tima-mindef -h

usage: tima-mindif [-h] [--output OUTPUT] [--verbose] [--exclude-unclassified]
                   [--show-low-val] [--thumbs]
                   project_path mindif_root

Process TIMA data

positional arguments:
  project_path          Path to the TIMA project
  mindif_root           Path to the MinDif root

optional arguments:
  -h, --help            show this help message and exit
  --output OUTPUT, -o OUTPUT
                        Path to the desired output folder
  --verbose             Prints more information about app progress.
  --exclude-unclassified, -u
                        Exclude unclassified rock types from image
  --show-low-val, -l    Prints rock types with <0.01 in the legend.
  --thumbs              Create thumbnails.

The script should be executed in the following manner: tima-mindef tima_mindif_processor.py project/path mindif_root output_root

For example:

tima-mindef "/media/sf_Y_DRIVE/Data/Evolution" "/media/sf_Y_DRIVE/Data/Adam Brown" -o ./output

Project details


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