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authorLex Neva <lexelby@users.noreply.github.com>2023-07-03 19:55:19 -0400
committerGitHub <noreply@github.com>2023-07-03 19:55:19 -0400
commit1301b02c0d8c462810e55c39970d77535fbd1adc (patch)
tree33962fa581ccc47cac98967948552193bbbf1471 /lib/utils/smoothing.py
parentf8df02ff9eccb740c193c0af9707d5b9cc41dac0 (diff)
parent72a0a7384fb61daa2cc5ce4082cf1ff222831710 (diff)
Merge pull request #2346 from inkstitch/lexelby/fill-clamp-and-smooth
auto-fill clamp and smooth
Diffstat (limited to 'lib/utils/smoothing.py')
-rw-r--r--lib/utils/smoothing.py10
1 files changed, 3 insertions, 7 deletions
diff --git a/lib/utils/smoothing.py b/lib/utils/smoothing.py
index 1bb250c5..2c210e37 100644
--- a/lib/utils/smoothing.py
+++ b/lib/utils/smoothing.py
@@ -3,7 +3,6 @@ from scipy.interpolate import splprep, splev
from .geometry import Point, coordinate_list_to_point_list
from ..stitches.running_stitch import running_stitch
-from ..debug import debug
def _remove_duplicate_coordinates(coords_array):
@@ -23,7 +22,6 @@ def _remove_duplicate_coordinates(coords_array):
return coords_array[keepers]
-@debug.time
def smooth_path(path, smoothness=1.0):
"""Smooth a path of coordinates.
@@ -70,8 +68,7 @@ def smooth_path(path, smoothness=1.0):
# .T transposes the array (for some reason splprep expects
# [[x1, x2, ...], [y1, y2, ...]]
- with debug.time_this("splprep"):
- tck, fp, ier, msg = splprep(coords.T, s=s, k=3, nest=-1, full_output=1)
+ tck, fp, ier, msg = splprep(coords.T, s=s, k=3, nest=-1, full_output=1)
if ier > 0:
debug.log(f"error {ier} smoothing path: {msg}")
return path
@@ -79,8 +76,7 @@ def smooth_path(path, smoothness=1.0):
# Evaluate the spline curve at many points along its length to produce the
# smoothed point list. 2 * num_points seems to be a good number, but it
# does produce a lot of points.
- with debug.time_this("splev"):
- smoothed_x_values, smoothed_y_values = splev(np.linspace(0, 1, int(num_points * 2)), tck[0])
- coords = np.array([smoothed_x_values, smoothed_y_values]).T
+ smoothed_x_values, smoothed_y_values = splev(np.linspace(0, 1, int(num_points * 2)), tck[0])
+ coords = np.array([smoothed_x_values, smoothed_y_values]).T
return [Point(x, y) for x, y in coords]