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Update python samples

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This commit is contained in:
Suleyman TURKMEN
2021-02-17 12:04:49 +03:00
parent 0a7a54f312
commit 9b399f3960
11 changed files with 25 additions and 23 deletions
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samples/python/tutorial_code/Histograms_Matching/back_projection/calcBackProject_Demo1.py
+2 -2
View File
@@ -38,10 +38,10 @@ def Hist_and_Backproj(val):
## [Read the image]
parser = argparse.ArgumentParser(description='Code for Back Projection tutorial.')
parser.add_argument('--input', help='Path to input image.')
parser.add_argument('--input', help='Path to input image.', default='home.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
src = cv.imread(cv.samples.findFile(args.input))
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
samples/python/tutorial_code/Histograms_Matching/back_projection/calcBackProject_Demo2.py
+2 -2
View File
@@ -54,10 +54,10 @@ def Hist_and_Backproj(mask):
# Read the image
parser = argparse.ArgumentParser(description='Code for Back Projection tutorial.')
parser.add_argument('--input', help='Path to input image.')
parser.add_argument('--input', help='Path to input image.', default='home.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
src = cv.imread(cv.samples.findFile(args.input))
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
samples/python/tutorial_code/Histograms_Matching/histogram_calculation/calcHist_Demo.py
+6 -6
View File
@@ -53,14 +53,14 @@ cv.normalize(r_hist, r_hist, alpha=0, beta=hist_h, norm_type=cv.NORM_MINMAX)
## [Draw for each channel]
for i in range(1, histSize):
cv.line(histImage, ( bin_w*(i-1), hist_h - int(round(b_hist[i-1])) ),
( bin_w*(i), hist_h - int(round(b_hist[i])) ),
cv.line(histImage, ( bin_w*(i-1), hist_h - int(b_hist[i-1]) ),
( bin_w*(i), hist_h - int(b_hist[i]) ),
( 255, 0, 0), thickness=2)
cv.line(histImage, ( bin_w*(i-1), hist_h - int(round(g_hist[i-1])) ),
( bin_w*(i), hist_h - int(round(g_hist[i])) ),
cv.line(histImage, ( bin_w*(i-1), hist_h - int(g_hist[i-1]) ),
( bin_w*(i), hist_h - int(g_hist[i]) ),
( 0, 255, 0), thickness=2)
cv.line(histImage, ( bin_w*(i-1), hist_h - int(round(r_hist[i-1])) ),
( bin_w*(i), hist_h - int(round(r_hist[i])) ),
cv.line(histImage, ( bin_w*(i-1), hist_h - int(r_hist[i-1]) ),
( bin_w*(i), hist_h - int(r_hist[i]) ),
( 0, 0, 255), thickness=2)
## [Draw for each channel]