pythoncode-tutorials/machine-learning/edge-detection/edge_detector.py at master · hulinhui-code/pythoncode-tutorials · GitHub

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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()
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importcv2
importnumpyasnp
importmatplotlib.pyplotasplt
importsys

# read the image
image=cv2.imread(sys.argv[1])

# convert it to grayscale
gray=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# show the grayscale image, if you want to show, uncomment 2 below lines
# plt.imshow(gray, cmap="gray")
# plt.show()

# perform the canny edge detector to detect image edges
edges=cv2.Canny(gray, threshold1=30, threshold2=100)

# show the detected edges
plt.imshow(edges, cmap="gray")
plt.show()