TIMA Mindif Processor v2.0.1
Getting Started
install from pypi
pip install tima-mindif
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-mindif'
tima-mindif -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-mindif tima_mindif_processor.py project/path mindif_root output_root
For example:
tima-mindif "/media/sf_Y_DRIVE/Data/Evolution" "/media/sf_Y_DRIVE/Data/Adam Brown" -o ./output
1 maintainer
Metadata
1 maintainer
Release files for tima-mindif 2.0.1
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Total release size: 1.1 MB
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