Sunday, 7 March 2021

opencv 7 template tracking

 

template




#main.py
import numpy as np
import cv2

cap = cv2.VideoCapture("assets/Santa Barbara.mp4")
template = cv2.resize(cv2.imread('assets/boat.png', 0), (0, 0), fx=0.6, fy=0.6)
h, w = template.shape

method = [cv2.TM_CCOEFF, cv2.TM_CCOEFF_NORMED, cv2.TM_CCORR,
          cv2.TM_CCORR_NORMED, cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]

while True:
    ret, frame = cap.read()
    width = int(cap.get(3))
    height = int(cap.get(4))

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

    select_method = method[1]
    result = cv2.matchTemplate(gray, template, select_method)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)

    if select_method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
        location = min_loc
    else:
        location = max_loc

    bottom_right = (location[0] + w, location[1] + h)
    cv2.rectangle(frame, location, bottom_right, (0, 0, 255), 5)

    cv2.imshow('frame', frame)

    if cv2.waitKey(1) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

reference:

No comments:

Post a Comment