gray scale
canny edge detection
#main.py
import numpy as np
import cv2
cap = cv2.VideoCapture("assets/Santa Barbara.mp4")
high = 200
low = 100
trackbars_img = np.uint8(np.full((50, 500, 3), 255))
cv2.imshow('trackbars', trackbars_img)
def high_change(x):
    global high
    high = x
def low_change(x):
    global low
    low = x
cv2.createTrackbar('low', 'trackbars', 100, 150, low_change)
cv2.createTrackbar('high', 'trackbars', 200, 255, high_change)
while True:
    ret, frame = cap.read()
    width = int(cap.get(3))
    height = int(cap.get(4))
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    canny = cv2.Canny(gray, low, high)
    cv2.imshow('frame', frame)
    cv2.imshow('gray', gray)
    cv2.imshow('canny', canny)
    if cv2.waitKey(1) == ord('q'):
        break
    if cv2.waitKey(1) == ord('p'):
        # wait until any key is pressed
        cv2.waitKey(-1)
cap.release()
cv2.destroyAllWindows()
reference:




No comments:
Post a Comment