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

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Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
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samples/python/calibrate.py
+15 -15
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@@ -17,7 +17,7 @@ default values:
from __future__ import print_function
import numpy as np
import cv2
import cv2 as cv
# local modules
from common import splitfn
@@ -53,27 +53,27 @@ if __name__ == '__main__':
obj_points = []
img_points = []
h, w = cv2.imread(img_names[0], 0).shape[:2] # TODO: use imquery call to retrieve results
h, w = cv.imread(img_names[0], 0).shape[:2] # TODO: use imquery call to retrieve results
def processImage(fn):
print('processing %s... ' % fn)
img = cv2.imread(fn, 0)
img = cv.imread(fn, 0)
if img is None:
print("Failed to load", fn)
return None
assert w == img.shape[1] and h == img.shape[0], ("size: %d x %d ... " % (img.shape[1], img.shape[0]))
found, corners = cv2.findChessboardCorners(img, pattern_size)
found, corners = cv.findChessboardCorners(img, pattern_size)
if found:
term = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_COUNT, 30, 0.1)
cv2.cornerSubPix(img, corners, (5, 5), (-1, -1), term)
term = (cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_COUNT, 30, 0.1)
cv.cornerSubPix(img, corners, (5, 5), (-1, -1), term)
if debug_dir:
vis = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
cv2.drawChessboardCorners(vis, pattern_size, corners, found)
vis = cv.cvtColor(img, cv.COLOR_GRAY2BGR)
cv.drawChessboardCorners(vis, pattern_size, corners, found)
path, name, ext = splitfn(fn)
outfile = os.path.join(debug_dir, name + '_chess.png')
cv2.imwrite(outfile, vis)
cv.imwrite(outfile, vis)
if not found:
print('chessboard not found')
@@ -97,7 +97,7 @@ if __name__ == '__main__':
obj_points.append(pattern_points)
# calculate camera distortion
rms, camera_matrix, dist_coefs, rvecs, tvecs = cv2.calibrateCamera(obj_points, img_points, (w, h), None, None)
rms, camera_matrix, dist_coefs, rvecs, tvecs = cv.calibrateCamera(obj_points, img_points, (w, h), None, None)
print("\nRMS:", rms)
print("camera matrix:\n", camera_matrix)
@@ -110,20 +110,20 @@ if __name__ == '__main__':
img_found = os.path.join(debug_dir, name + '_chess.png')
outfile = os.path.join(debug_dir, name + '_undistorted.png')
img = cv2.imread(img_found)
img = cv.imread(img_found)
if img is None:
continue
h, w = img.shape[:2]
newcameramtx, roi = cv2.getOptimalNewCameraMatrix(camera_matrix, dist_coefs, (w, h), 1, (w, h))
newcameramtx, roi = cv.getOptimalNewCameraMatrix(camera_matrix, dist_coefs, (w, h), 1, (w, h))
dst = cv2.undistort(img, camera_matrix, dist_coefs, None, newcameramtx)
dst = cv.undistort(img, camera_matrix, dist_coefs, None, newcameramtx)
# crop and save the image
x, y, w, h = roi
dst = dst[y:y+h, x:x+w]
print('Undistorted image written to: %s' % outfile)
cv2.imwrite(outfile, dst)
cv.imwrite(outfile, dst)
cv2.destroyAllWindows()
cv.destroyAllWindows()