# HG changeset patch # User imgteam # Date 1713946299 0 # Node ID 5bc8cdc17fd05cf603e9f3924a6a514e8318494f # Parent 2436a8807ad1a4b6195a3a7510290d1e4f96175c planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/2d_feature_extraction/ commit c86a1b93cb7732f7331a981d13465653cc1a2790 diff -r 2436a8807ad1 -r 5bc8cdc17fd0 2d_feature_extraction.py --- a/2d_feature_extraction.py Thu Apr 04 15:23:23 2024 +0000 +++ b/2d_feature_extraction.py Wed Apr 24 08:11:39 2024 +0000 @@ -1,9 +1,9 @@ import argparse +import giatools.io import numpy as np import pandas as pd import skimage.feature -import skimage.io import skimage.measure import skimage.morphology import skimage.segmentation @@ -57,9 +57,9 @@ raw_image = None if args.raw_file is not None: - raw_image = skimage.io.imread(args.raw_file.name) + raw_image = giatools.io.imread(args.raw_file.name) - raw_label_image = skimage.io.imread(label_file) + raw_label_image = giatools.io.imread(label_file) df = pd.DataFrame() if label_file_binary: @@ -124,4 +124,4 @@ df['convexity'] = area / (perimeter * perimeter) del df['it'] - df.to_csv(out_file, sep='\t', line_terminator='\n', index=False) + df.to_csv(out_file, sep='\t', lineterminator='\n', index=False) diff -r 2436a8807ad1 -r 5bc8cdc17fd0 2d_feature_extraction.xml --- a/2d_feature_extraction.xml Thu Apr 04 15:23:23 2024 +0000 +++ b/2d_feature_extraction.xml Wed Apr 24 08:11:39 2024 +0000 @@ -2,7 +2,7 @@ with scikit-image creators.xml - 0.14.2 + 0.18.1 0 @@ -17,9 +17,10 @@ scikit-image - pandas - numpy - tifffile + pandas + numpy + tifffile + giatools