OSSForks/opencv
1
0
Fork 0
mirror of https://github.com/zebrajr/opencv.git synced 2026-01-15 12:15:17 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

Browse Source
This commit is contained in:
Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
samples/python/tutorial_code/ImgTrans/HoughLine/hough_lines.py
View File

@@ -4,7 +4,7 @@
"""
import sys
import math
import cv2
import cv2 as cv
import numpy as np
@@ -14,7 +14,7 @@ def main(argv):
filename = argv[0] if len(argv) > 0 else default_file
# Loads an image
src = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)
src = cv.imread(filename, cv.IMREAD_GRAYSCALE)
# Check if image is loaded fine
if src is None:
@@ -25,16 +25,16 @@ def main(argv):
## [edge_detection]
# Edge detection
dst = cv2.Canny(src, 50, 200, None, 3)
dst = cv.Canny(src, 50, 200, None, 3)
## [edge_detection]
# Copy edges to the images that will display the results in BGR
cdst = cv2.cvtColor(dst, cv2.COLOR_GRAY2BGR)
cdst = cv.cvtColor(dst, cv.COLOR_GRAY2BGR)
cdstP = np.copy(cdst)
## [hough_lines]
# Standard Hough Line Transform
lines = cv2.HoughLines(dst, 1, np.pi / 180, 150, None, 0, 0)
lines = cv.HoughLines(dst, 1, np.pi / 180, 150, None, 0, 0)
## [hough_lines]
## [draw_lines]
# Draw the lines
@@ -49,29 +49,29 @@ def main(argv):
pt1 = (int(x0 + 1000*(-b)), int(y0 + 1000*(a)))
pt2 = (int(x0 - 1000*(-b)), int(y0 - 1000*(a)))
cv2.line(cdst, pt1, pt2, (0,0,255), 3, cv2.LINE_AA)
cv.line(cdst, pt1, pt2, (0,0,255), 3, cv.LINE_AA)
## [draw_lines]
## [hough_lines_p]
# Probabilistic Line Transform
linesP = cv2.HoughLinesP(dst, 1, np.pi / 180, 50, None, 50, 10)
linesP = cv.HoughLinesP(dst, 1, np.pi / 180, 50, None, 50, 10)
## [hough_lines_p]
## [draw_lines_p]
# Draw the lines
if linesP is not None:
for i in range(0, len(linesP)):
l = linesP[i][0]
cv2.line(cdstP, (l[0], l[1]), (l[2], l[3]), (0,0,255), 3, cv2.LINE_AA)
cv.line(cdstP, (l[0], l[1]), (l[2], l[3]), (0,0,255), 3, cv.LINE_AA)
## [draw_lines_p]
## [imshow]
# Show results
cv2.imshow("Source", src)
cv2.imshow("Detected Lines (in red) - Standard Hough Line Transform", cdst)
cv2.imshow("Detected Lines (in red) - Probabilistic Line Transform", cdstP)
cv.imshow("Source", src)
cv.imshow("Detected Lines (in red) - Standard Hough Line Transform", cdst)
cv.imshow("Detected Lines (in red) - Probabilistic Line Transform", cdstP)
## [imshow]
## [exit]
# Wait and Exit
cv2.waitKey()
cv.waitKey()
return 0
## [exit]