pad ndarray to ensure negative values when shearing
So i am currenly trying to shear an image in python using two factors (Bx and By). Problem is that when i put in negative values i get an IndexError / out of bounds from array.
I believe I have to do some padding but I have no idea to apply it to my code?
import cv2
import numpy
#Load the source image
src = cv2.imread("lena.png")
rows, cols, c = src.shape
# x1 = x + y · Bx
# y1 = y + x · By
Bx = 0.0
By = 0.5
imgForward = numpy.ndarray(shape = (int (cols + rows*By), int (rows + cols*Bx), 3))
for row in range(rows):
for col in range(cols):
imgForward[int (row+col*By), int(col+row*Bx)] = src[row,col]/255
cv2.imshow("Forward mapping", imgForward)
cv2.waitKey(0)
python numpy affinetransform pad
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
add a comment |
So i am currenly trying to shear an image in python using two factors (Bx and By). Problem is that when i put in negative values i get an IndexError / out of bounds from array.
I believe I have to do some padding but I have no idea to apply it to my code?
import cv2
import numpy
#Load the source image
src = cv2.imread("lena.png")
rows, cols, c = src.shape
# x1 = x + y · Bx
# y1 = y + x · By
Bx = 0.0
By = 0.5
imgForward = numpy.ndarray(shape = (int (cols + rows*By), int (rows + cols*Bx), 3))
for row in range(rows):
for col in range(cols):
imgForward[int (row+col*By), int(col+row*Bx)] = src[row,col]/255
cv2.imshow("Forward mapping", imgForward)
cv2.waitKey(0)
python numpy affinetransform pad
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
add a comment |
So i am currenly trying to shear an image in python using two factors (Bx and By). Problem is that when i put in negative values i get an IndexError / out of bounds from array.
I believe I have to do some padding but I have no idea to apply it to my code?
import cv2
import numpy
#Load the source image
src = cv2.imread("lena.png")
rows, cols, c = src.shape
# x1 = x + y · Bx
# y1 = y + x · By
Bx = 0.0
By = 0.5
imgForward = numpy.ndarray(shape = (int (cols + rows*By), int (rows + cols*Bx), 3))
for row in range(rows):
for col in range(cols):
imgForward[int (row+col*By), int(col+row*Bx)] = src[row,col]/255
cv2.imshow("Forward mapping", imgForward)
cv2.waitKey(0)
python numpy affinetransform pad
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
So i am currenly trying to shear an image in python using two factors (Bx and By). Problem is that when i put in negative values i get an IndexError / out of bounds from array.
I believe I have to do some padding but I have no idea to apply it to my code?
import cv2
import numpy
#Load the source image
src = cv2.imread("lena.png")
rows, cols, c = src.shape
# x1 = x + y · Bx
# y1 = y + x · By
Bx = 0.0
By = 0.5
imgForward = numpy.ndarray(shape = (int (cols + rows*By), int (rows + cols*Bx), 3))
for row in range(rows):
for col in range(cols):
imgForward[int (row+col*By), int(col+row*Bx)] = src[row,col]/255
cv2.imshow("Forward mapping", imgForward)
cv2.waitKey(0)
python numpy affinetransform pad
python numpy affinetransform pad
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
asked Nov 14 '18 at 13:19
Nick E.Nick E.
12
12
add a comment |
add a comment |
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