TIMA Min Dif Processor
Project description
TIMA Mindif Processor v1.3.1
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
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
tima-mindif-1.3.1.tar.gz
(570.4 kB
view hashes)
Built Distribution
tima_mindif-1.3.1-py3-none-any.whl
(568.6 kB
view hashes)
Close
Hashes for tima_mindif-1.3.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2e0b900bee0a299eda89264c475d2d6d9cc184f15cc5f8a8fd9797b94dad965c |
|
MD5 | 3c9c86e46c15eb650731db06197df882 |
|
BLAKE2b-256 | 40a1ca4817e0a44b3d7d12d4e08ec5f80e757d88559441d2046b4a8c44d09656 |