import cv2
import numpy as np
import argparse
def argument_parser():
parser = argparse.ArgumentParser(description="Change color space of the input\
video stream using keyboard controls: Grayscale - 'g', YUV - 'y', HSV - 'h'")
return parser
def cartoonize_image(img, ds_factor=4, sketch_mode=False):
#convert to gray scale
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#apply median filter
img_gray = cv2.medianBlur(img_gray, 7)
#detect edges and threshold the imag
edges = cv2.Laplacian(img_gray, cv2.CV_8U, ksize=5)
ret, mask = cv2.threshold(edges, 100, 255, cv2.THRESH_BINARY_INV)
#mask is the sketch of the image
if sketch_mode:
return cv2.cvtColor(mask, cv2.COLOR_GRAY2BGR)
img_small = cv2.resize(img, None, fx=1.0/ds_factor, fy=1.0/ds_factor, interpolation = cv2.INTER_AREA)
num_repetitions = 10
sigma_color = 5
sigma_space = 7
size = 5
#apply bilateral filter multiple times
for i in range(num_repetitions):
img_small = cv2.bilateralFilter(img_small, size, sigma_color, sigma_space)
img_output = cv2.resize(img_small, None, fx=ds_factor, fy=ds_factor, interpolation=cv2.INTER_LINEAR)
dst = np.zeros(img_gray.shape)
dst = cv2.bitwise_and(img_output, img_output, mask=mask)
return dst
if __name__ == "__main__":
args = argument_parser().parse_args()
cap = cv2.VideoCapture(0)
#check if opened correctly
if not cap.isOpened():
raise IOError('Cannot open webcam')
cur_char = -1
prev_char = -1
while True:
ret, frame = cap.read()
frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation=cv2.INTER_AREA)
c = cv2.waitKey(1)
#Esc key (ASCII: 27)
if c == 27:
break
if c > -1 and c!=prev_char:
cur_char = c
prev_char = c
if cur_char == ord('g'):
output = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
elif cur_char == ord('y'):
output = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV)
elif cur_char == ord('h'):
output = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
elif cur_char == ord('s'):
output = cartoonize_image(frame, sketch_mode=True)
elif cur_char == ord('c'):
output = cartoonize_image(frame, sketch_mode=False)
else:
output = frame
cv2.imshow('Webcam', output)
cap.release()
cv2.destroyAllWindows()
