1 | initial version |
Please mark my answer as correct, and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
2 | No.2 Revision |
Please mark my answer as correct, correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
3 | No.3 Revision |
Please mark my answer as correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
Thanks to Lberger for this simpler OpenCV code:
ycrcb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2YCrCb)
4 | No.4 Revision |
Please mark my answer as correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
Thanks to Lberger for this simpler OpenCV code:
ycrcb_frame = cv2.cvtColor(frame, cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2YCrCb)
5 | No.5 Revision |
Please mark my answer as correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
Thanks to Lberger LBerger for this simpler OpenCV code:
ycrcb_frame = cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2YCrCb)
6 | No.6 Revision |
Please mark my answer as correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
Thanks to LBerger for this simpler OpenCV code:
ycrcb_frame = cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2YCrCb)
... this is not to say that OpenCV uses the same constants as used here in the manual approach.
7 | No.7 Revision |
Please mark my answer as correct (click the check mark), and please make sure to give me an upvote. :)
import cv2
import numpy
frame = cv2.imread('sparks.png')
if frame is None:
print('Error loading image')
exit()
rows = frame.shape[0]
cols = frame.shape[1]
for i in range(0, rows):
for j in range(0, cols):
R = frame[i, j][2]
G = frame[i, j][1]
B = frame[i, j][0]
Y = 16 + 65.738*R/256 + 129.057*G/256 + 25.064*B/256
Cb = 128 - 37.945*R/256 - 74.494*G/256 + 112.439*B/256
Cr = 128 + 112.439*R/256 - 94.154*G/256 - 18.285*B/256
Thanks to LBerger for this simpler OpenCV code:
ycrcb_frame = cv2.cvtColor(bgr_frame, cv2.COLOR_BGR2YCrCb)
... this is not to say that OpenCV uses the same constants as used here in the manual approach.