numpy scipy scikit-image opencv networkx globus_sdk gdal utm
The description is here
usage: run-pipeline [-h] --raw-path RAW_PATH --ply-path PLY_PATH -o
OUTPUT_PATH --start START --end END [--no-download]
[--scanner {east,west,both}] [--crop] [-v] [-p PROCESSES]
optional arguments:
-h, --help show this help message and exit
--raw-path RAW_PATH path to the root of raw data
--ply-path PLY_PATH path to the root of ply data
-o OUTPUT_PATH, --output-path OUTPUT_PATH
yyyy-mm-dd
--start START Start date. Format: yyyy-mm-dd
--end END End date. Format: yyyy-mm-dd
--no-download no download ply files from globus
--scanner {east,west,both}
from which scanner
--crop by plot or by leaf
-v, --verbose
-p PROCESSES, --processes PROCESSES
number of sub-processes