import numpy as np
import argparse
import cv2

# assuming
# wget http://ppao.pyimagesearch.com/wp-content/uploads/2016/07/clonazepam_1mg.png

ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
args = vars(ap.parse_args())

image = cv2.imread(args["image"])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("Original", image)

blurred = cv2.GaussianBlur(image, (5, 5), 0)
cv2.imshow("Blurred", blurred)

canny = cv2.Canny(image, 240, 250)
cv2.imshow("Canny (240, 250)", canny)
canny = cv2.Canny(image, 10, 200)
cv2.imshow("Canny (10, 200)", canny)
canny = cv2.Canny(image, 200, 250)
cv2.imshow("Canny (200, 250)", canny)
cv2.waitKey(0)

fe2c9870f3ff36eb81d1389b9e2b770a685937a2
<mask token>

<mask token>
ap.add_argument('-i', '--image', required=True, help='Path to the image')
<mask token>
cv2.imshow('Original', image)
<mask token>
cv2.imshow('Blurred', blurred)
<mask token>
cv2.imshow('Canny (240, 250)', canny)
<mask token>
cv2.imshow('Canny (10, 200)', canny)
<mask token>
cv2.imshow('Canny (200, 250)', canny)
cv2.waitKey(0)

<mask token>
ap = argparse.ArgumentParser()
ap.add_argument('-i', '--image', required=True, help='Path to the image')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Original', image)
blurred = cv2.GaussianBlur(image, (5, 5), 0)
cv2.imshow('Blurred', blurred)
canny = cv2.Canny(image, 240, 250)
cv2.imshow('Canny (240, 250)', canny)
canny = cv2.Canny(image, 10, 200)
cv2.imshow('Canny (10, 200)', canny)
canny = cv2.Canny(image, 200, 250)
cv2.imshow('Canny (200, 250)', canny)
cv2.waitKey(0)

import numpy as np
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument('-i', '--image', required=True, help='Path to the image')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Original', image)
blurred = cv2.GaussianBlur(image, (5, 5), 0)
cv2.imshow('Blurred', blurred)
canny = cv2.Canny(image, 240, 250)
cv2.imshow('Canny (240, 250)', canny)
canny = cv2.Canny(image, 10, 200)
cv2.imshow('Canny (10, 200)', canny)
canny = cv2.Canny(image, 200, 250)
cv2.imshow('Canny (200, 250)', canny)
cv2.waitKey(0)

import numpy as np
import argparse
import cv2

# assuming
# wget http://ppao.pyimagesearch.com/wp-content/uploads/2016/07/clonazepam_1mg.png

ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
args = vars(ap.parse_args())

image = cv2.imread(args["image"])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("Original", image)

blurred = cv2.GaussianBlur(image, (5, 5), 0)
cv2.imshow("Blurred", blurred)

canny = cv2.Canny(image, 240, 250)
cv2.imshow("Canny (240, 250)", canny)
canny = cv2.Canny(image, 10, 200)
cv2.imshow("Canny (10, 200)", canny)
canny = cv2.Canny(image, 200, 250)
cv2.imshow("Canny (200, 250)", canny)
cv2.waitKey(0)
