Chuanshuoge: opencv 19 contours

Saturday, 20 March 2021

adaptive threshold

contour

#main.py

import numpy as np

import cv2

cap = cv2.VideoCapture("assets/Santa Barbara.mp4")

while True:

ret, frame = cap.read()

width = int(cap.get(3))

height = int(cap.get(4))

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

#adaptive threshold (frame, max pixel value, adaptive method, threshold type, neighbour block size, c constant)

#th1 = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)

th2 = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)

contours, hierarchy = cv2.findContours(th2, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

contour_img = np.uint8(np.full((height, width, 3), 255))

cv2.drawContours(contour_img, contours, -1, (0, 0, 0), 1)

cv2.imshow('frame', frame)

cv2.imshow('gray', gray)

cv2.imshow('threshold', th2)

cv2.imshow('contourss', contour_img)

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:

Chuanshuoge