Wednesday 1 January 2020

OpenCV


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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