sbrl-github/research-rainfallradar
1
0
Fork 0
mirror of https://github.com/sbrl/research-rainfallradar synced 2024-12-22 22:25:01 +00:00
Code Issues Projects Releases Packages Wiki Activity

make --help display help

Browse source
This commit is contained in:
Starbeamrainbowlabs 2022-09-14 15:03:07 +01:00
parent 3c1aef5913
commit f97b771922
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 1 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
aimodel/src/parse_args.py
View file

@ -11,7 +11,7 @@ def parse_args():
"""Defines and parses the CLI arguments."""
if len(sys.argv) < 2:
if len(sys.argv) < 2 or sys.argv[1] == "--help":
sys.stderr.write("""
This program trains, manipulates, visualises, and manages a contrastive learning based rainfall radar → water depth prediction model.
It functions by first finding relationships between the rainfall radar data and the water depth + heightmap data (the 'pretrain' subcommand). After this, a decoder model to predict water depth (modelled as an image segmentation task), can then be trained.