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Set the Python file maximum line length to 88 characters (#2122)

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* flake8 --max-line-length=88

* fixup! Format Python code with psf/black push

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2020-06-16 10:09:19 +02:00
committed by GitHub
parent 9438c6bf0b
commit 9316e7c014
90 changed files with 473 additions and 320 deletions
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22
digital_image_processing/edge_detection/canny.py
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@@ -29,8 +29,9 @@ def canny(image, threshold_low=15, threshold_high=30, weak=128, strong=255):
dst = np.zeros((image_row, image_col))
"""
Non-maximum suppression. If the edge strength of the current pixel is the largest compared to the other pixels
in the mask with the same direction, the value will be preserved. Otherwise, the value will be suppressed.
Non-maximum suppression. If the edge strength of the current pixel is the largest
compared to the other pixels in the mask with the same direction, the value will be
preserved. Otherwise, the value will be suppressed.
"""
for row in range(1, image_row - 1):
for col in range(1, image_col - 1):
@@ -71,10 +72,12 @@ def canny(image, threshold_low=15, threshold_high=30, weak=128, strong=255):
dst[row, col] = sobel_grad[row, col]
"""
High-Low threshold detection. If an edge pixel’s gradient value is higher than the high threshold
value, it is marked as a strong edge pixel. If an edge pixel’s gradient value is smaller than the high
threshold value and larger than the low threshold value, it is marked as a weak edge pixel. If an edge
pixel's value is smaller than the low threshold value, it will be suppressed.
High-Low threshold detection. If an edge pixel’s gradient value is higher
than the high threshold value, it is marked as a strong edge pixel. If an
edge pixel’s gradient value is smaller than the high threshold value and
larger than the low threshold value, it is marked as a weak edge pixel. If
an edge pixel's value is smaller than the low threshold value, it will be
suppressed.
"""
if dst[row, col] >= threshold_high:
dst[row, col] = strong
@@ -84,9 +87,10 @@ def canny(image, threshold_low=15, threshold_high=30, weak=128, strong=255):
dst[row, col] = weak
"""
Edge tracking. Usually a weak edge pixel caused from true edges will be connected to a strong edge pixel while
noise responses are unconnected. As long as there is one strong edge pixel that is involved in its 8-connected
neighborhood, that weak edge point can be identified as one that should be preserved.
Edge tracking. Usually a weak edge pixel caused from true edges will be connected
to a strong edge pixel while noise responses are unconnected. As long as there is
one strong edge pixel that is involved in its 8-connected neighborhood, that weak
edge point can be identified as one that should be preserved.
"""
for row in range(1, image_row):
for col in range(1, image_col):