Remove duplicate set_color function

This commit is contained in:
Johannes Schönberger
2013-10-14 17:58:18 +02:00
parent 29d8e0d1d9
commit 998d64e64e
2 changed files with 4 additions and 53 deletions
-28
View File
@@ -834,31 +834,3 @@ def bezier_curve(Py_ssize_t y0, Py_ssize_t x0,
px.extend(rr)
py.extend(cc)
return np.array(px, dtype=np.intp), np.array(py, dtype=np.intp)
def set_color(img, coords, color):
"""Set pixel color in the image at the given coordinates.
Coordinates that exceed the shape of the image will be ignored.
Parameters
----------
img : (M, N, D) ndarray
Image
coords : ((P,) ndarray, (P,) ndarray)
Coordinates of pixels to be colored.
color : (D,) ndarray
Color to be assigned to coordinates in the image.
Returns
-------
img : (M, N, D) ndarray
The updated image.
"""
rr, cc = coords
rr_inside = np.logical_and(rr >= 0, rr < img.shape[0])
cc_inside = np.logical_and(cc >= 0, cc < img.shape[1])
inside = np.logical_and(rr_inside, cc_inside)
img[rr[inside], cc[inside]] = color
+4 -25
View File
@@ -2,11 +2,6 @@
import numpy as np
def _coords_inside_image(rr, cc, shape):
mask = (rr >= 0) & (rr < shape[0]) & (cc >= 0) & (cc < shape[1])
return rr[mask], cc[mask]
def ellipse(cy, cx, yradius, xradius, shape=None):
"""Generate coordinates of pixels within ellipse.
@@ -131,26 +126,10 @@ def set_color(img, coords, color):
img : (M, N, D) ndarray
The updated image.
Examples
--------
>>> from skimage.draw import line, set_color
>>> img = np.zeros((10, 10), dtype=np.uint8)
>>> rr, cc = line(1, 1, 20, 20)
>>> set_color(img, (rr, cc), 1)
>>> img
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], dtype=uint8)
"""
rr, cc = coords
rr, cc = _coords_inside_image(rr, cc, img.shape)
img[rr, cc] = color
rr_inside = np.logical_and(rr >= 0, rr < img.shape[0])
cc_inside = np.logical_and(cc >= 0, cc < img.shape[1])
inside = np.logical_and(rr_inside, cc_inside)
img[rr[inside], cc[inside]] = color