import cv2
import numpy
as np
cam =
cv2.VideoCapture(0)
cv2.namedWindow("test")
img_counter
= 0
while True:
ret, frame = cam.read()
cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k%256 == 27:
# ESC pressed
print("Escape
hit, closing...")
break
elif k%256
== 32:
# SPACE pressed
img_name =
"opencv_frame_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{}
written!".format(img_name))
img_counter
+= 1
cam.release()
cv2.destroyAllWindows()
________________________________________________________
________________________________________________________
import cv2
import numpy
as np
cap =
cv2.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv =
cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_blue =
np.array([110,50,50])
upper_blue =
np.array([130,255,255])
# Threshold the HSV image to get only blue
colors
mask = cv2.inRange(hsv, lower_blue,
upper_blue)
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask=
mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
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