# HG changeset patch
# User imgteam
# Date 1727252999 0
# Node ID 4c0f16fb9f8dcbd0259ab67895d32c261a74d79f
# Parent a80f92ec6f89fb14bb9f8a8a25e49b91d75ea8ae
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/points2binaryimage/ commit a3c77a79db469c9ad18b666f2c64d6e8f573945f
diff -r a80f92ec6f89 -r 4c0f16fb9f8d creators.xml
--- a/creators.xml Wed Jun 26 08:35:56 2024 +0000
+++ b/creators.xml Wed Sep 25 08:29:59 2024 +0000
@@ -5,6 +5,11 @@
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diff -r a80f92ec6f89 -r 4c0f16fb9f8d points2binaryimage.py
--- a/points2binaryimage.py Wed Jun 26 08:35:56 2024 +0000
+++ b/points2binaryimage.py Wed Sep 25 08:29:59 2024 +0000
@@ -1,36 +1,75 @@
import argparse
import os
import warnings
+from typing import List
import numpy as np
import pandas as pd
+import scipy.ndimage as ndi
import skimage.io
-def points2binaryimage(point_file, out_file, shape=[500, 500], has_header=False, invert_xy=False):
+def find_column(df: pd.DataFrame, candidates: List[str]) -> str:
+ """
+ Returns the column name present in `df` and the list of `candidates`.
- img = np.zeros(shape, dtype=np.int16)
+ Raises:
+ KeyError: If there is no candidate column name present in `df`, or more than one.
+ """
+ intersection = frozenset(df.columns) & frozenset(candidates)
+ if len(intersection) == 0:
+ raise KeyError(f'No such column: {", ".join(candidates)}')
+ elif len(intersection) > 1:
+ raise KeyError(f'The column names {", ".join(intersection)} are ambiguous')
+ else:
+ return next(iter(intersection))
+
+
+def points2binaryimage(point_file, out_file, shape, has_header=False, swap_xy=False, bg_value=0, fg_value=0xffff):
+
+ img = np.full(shape, dtype=np.uint16, fill_value=bg_value)
if os.path.exists(point_file) and os.path.getsize(point_file) > 0:
- if has_header:
- df = pd.read_csv(point_file, skiprows=1, header=None, delimiter="\t")
- else:
- df = pd.read_csv(point_file, header=None, delimiter="\t")
- for i in range(0, len(df)):
- a_row = df.iloc[i]
- if int(a_row[0]) < 0 or int(a_row[1]) < 0:
- raise IndexError("Point {},{} is out of image with bounds {},{}.".format(int(a_row[0]), int(a_row[1]), shape[0], shape[1]))
+ # Read the tabular file with information from the header
+ if has_header:
+ df = pd.read_csv(point_file, delimiter='\t')
+ pos_x_column = find_column(df, ['pos_x', 'POS_X'])
+ pos_y_column = find_column(df, ['pos_y', 'POS_Y'])
+ pos_x_list = df[pos_x_column].round().astype(int)
+ pos_y_list = df[pos_y_column].round().astype(int)
+ assert len(pos_x_list) == len(pos_y_list)
+ try:
+ radius_column = find_column(df, ['radius', 'RADIUS'])
+ radius_list = df[radius_column]
+ except KeyError:
+ radius_list = [0] * len(pos_x_list)
- if invert_xy:
- if img.shape[0] <= int(a_row[0]) or img.shape[1] <= int(a_row[1]):
- raise IndexError("Point {},{} is out of image with bounds {},{}.".format(int(a_row[0]), int(a_row[1]), shape[0], shape[1]))
- else:
- img[int(a_row[1]), int(a_row[0])] = 32767
+ # Read the tabular file without header
+ else:
+ df = pd.read_csv(point_file, header=None, delimiter='\t')
+ pos_x_list = df[0].round().astype(int)
+ pos_y_list = df[1].round().astype(int)
+ assert len(pos_x_list) == len(pos_y_list)
+ radius_list = [0] * len(pos_x_list)
+
+ # Optionally swap the coordinates
+ if swap_xy:
+ pos_x_list, pos_y_list = pos_y_list, pos_x_list
+
+ # Perform the rasterization
+ for y, x, radius in zip(pos_y_list, pos_x_list, radius_list):
+
+ if y < 0 or x < 0 or y >= shape[0] or x >= shape[1]:
+ raise IndexError(f'The point x={x}, y={y} exceeds the bounds of the image (width: {shape[1]}, height: {shape[0]})')
+
+ if radius > 0:
+ mask = np.ones(shape, dtype=bool)
+ mask[y, x] = False
+ mask = (ndi.distance_transform_edt(mask) <= radius)
+ img[mask] = fg_value
else:
- if img.shape[0] <= int(a_row[1]) or img.shape[1] <= int(a_row[0]):
- raise IndexError("Point {},{} is out of image with bounds {},{}.".format(int(a_row[1]), int(a_row[0]), shape[0], shape[1]))
- else:
- img[int(a_row[0]), int(a_row[1])] = 32767
+ img[y, x] = fg_value
+
else:
raise Exception("{} is empty or does not exist.".format(point_file)) # appropriate built-in error?
@@ -41,14 +80,14 @@
if __name__ == "__main__":
parser = argparse.ArgumentParser()
- parser.add_argument('point_file', type=argparse.FileType('r'), help='label file')
+ parser.add_argument('point_file', type=argparse.FileType('r'), help='point file')
parser.add_argument('out_file', type=str, help='out file (TIFF)')
parser.add_argument('shapex', type=int, help='shapex')
parser.add_argument('shapey', type=int, help='shapey')
- parser.add_argument('--has_header', dest='has_header', default=False, help='set True if CSV has header')
- parser.add_argument('--invert_xy', dest='invert_xy', default=False, help='invert x and y in CSV')
+ parser.add_argument('--has_header', dest='has_header', default=False, help='set True if point file has header')
+ parser.add_argument('--swap_xy', dest='swap_xy', default=False, help='Swap X and Y coordinates')
args = parser.parse_args()
# TOOL
- points2binaryimage(args.point_file.name, args.out_file, [args.shapey, args.shapex], has_header=args.has_header, invert_xy=args.invert_xy)
+ points2binaryimage(args.point_file.name, args.out_file, (args.shapey, args.shapex), has_header=args.has_header, swap_xy=args.swap_xy)
diff -r a80f92ec6f89 -r 4c0f16fb9f8d points2binaryimage.xml
--- a/points2binaryimage.xml Wed Jun 26 08:35:56 2024 +0000
+++ b/points2binaryimage.xml Wed Sep 25 08:29:59 2024 +0000
@@ -2,8 +2,9 @@
creators.xml
- 0.2
- 3
+ tests.xml
+ 0.3
+ 0
@@ -15,45 +16,68 @@
galaxy_image_analysis
- scikit-image
- numpy
- pandas
- pytz
- python-dateutil
- tifffile
+ scikit-image
+ numpy
+ pandas
+ tifffile
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- This tool converts a CSV list of points to a binary image by rasterizing the point coordinates.
+ **Converts a tabular list of points to a binary image by rasterizing the point coordinates.**
The created image is a single-channel image with 16 bits per pixel (unsigned integer).
- The points are rasterized with value 32767 (white).
- Pixels not corresponding to any points in the CSV are assigned the value 0 (black).
+ The points are rasterized with value 65535 (white).
+ Pixels not corresponding to any points in the tabular file are assigned the value 0 (black).
+
+ The tabular list of points can either be header-less.
+ In this case, the first and second columns are expected to be the X and Y coordinates, respectively.
+ Otherwise, if a header is present, it is searched for the following column names:
+
+ - ``pos_x`` or ``POS_X``: This column corresponds to the X coordinates.
+ - ``pos_y`` or ``POS_Y``: This column corresponds to the Y coordinates.
+ - If a ``radius`` or ``RADIUS`` column is present,
+ then the points will be rasterized as circles of the corresponding radii.
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/input1.tsv
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input1.tsv Wed Sep 25 08:29:59 2024 +0000
@@ -0,0 +1,9 @@
+11.7555970149 10.4048507463
+15 14
+19 2
+5 4
+5 5
+5 6
+5 7
+5 8
+5 9
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/input2.tsv
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input2.tsv Wed Sep 25 08:29:59 2024 +0000
@@ -0,0 +1,39 @@
+frame pos_x pos_y scale radius intensity
+1 85 32 1.33 3.77 18807.73
+1 190 25 1.78 5.03 24581.44
+1 137 26 1.44 4.09 19037.59
+1 63 42 1.44 4.09 22390.80
+1 107 44 1.33 3.77 23429.96
+1 61 27 1.56 4.40 18052.18
+1 158 39 1.44 4.09 18377.02
+1 190 14 1.33 3.77 18548.86
+1 182 33 1.78 5.03 26467.79
+1 39 39 1.44 4.09 14782.43
+1 169 26 1.33 3.77 14203.41
+1 61 54 1.33 3.77 23248.06
+1 95 52 1.33 3.77 21480.71
+1 23 60 1.89 5.34 25203.43
+1 84 24 1.56 4.40 16630.57
+1 121 47 1.67 4.71 15459.11
+1 66 49 1.11 3.14 23858.07
+1 115 36 2.00 5.66 16389.10
+1 55 51 1.33 3.77 23548.90
+1 130 72 1.67 4.71 15769.02
+1 117 23 1.33 3.77 16763.14
+1 45 52 1.56 4.40 22877.61
+1 36 71 1.56 4.40 20780.96
+1 78 17 1.33 3.77 16844.51
+1 101 38 1.56 4.40 21376.59
+1 147 31 1.78 5.03 16597.14
+1 163 55 2.00 5.66 18301.54
+1 164 23 1.33 3.77 17073.82
+1 150 24 1.56 4.40 15440.02
+1 151 67 1.78 5.03 18419.96
+1 26 53 2.00 5.66 20586.01
+1 79 62 1.33 3.77 15232.88
+1 69 17 1.11 3.14 15601.83
+1 83 52 1.33 3.77 18315.00
+1 16 54 2.00 5.66 22140.66
+1 166 61 1.78 5.03 18488.78
+1 163 43 1.44 4.09 16925.49
+1 130 53 1.78 5.03 15101.96
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/out.tiff
Binary file test-data/out.tiff has changed
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/output1.original.tif
Binary file test-data/output1.original.tif has changed
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/output1.tif
Binary file test-data/output1.tif has changed
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/output2.tif
Binary file test-data/output2.tif has changed
diff -r a80f92ec6f89 -r 4c0f16fb9f8d test-data/points.tsv
--- a/test-data/points.tsv Wed Jun 26 08:35:56 2024 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,9 +0,0 @@
-11.7555970149 10.4048507463
-15 14
-19 2
-5 4
-5 5
-5 6
-5 7
-5 8
-5 9
diff -r a80f92ec6f89 -r 4c0f16fb9f8d tests.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/tests.xml Wed Sep 25 08:29:59 2024 +0000
@@ -0,0 +1,95 @@
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