Template Matching on videoes
How to modify this code to implement template matching on videos
import cv2
import numpy as np
img_rgb = cv2.imread('opencv-template-matching-python-tutorial.jpg')
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread('opencv-template-for-matching.jpg',0)
w, h = template.shape[::-1]
res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)
threshold = 0.8
loc = np.where( res >= threshold)
for pt in zip(*loc[::-1]):
cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)
cv2.imshow('Detected',img_rgb)
I don't understand how you can have a problem if you already try "CAMShift .. and tried Object Tracking Algorithms in opencv 3 like BOOSTING, MIL, TLD, MEDIANFLOW" to read a video in python it's here
all python tutorials are here
yes , I tried those but all of them failed with mario .. so I want to try template matching on videos but I don,t know how to start ..how can I use
cv2.VideoCapture('.....avi')
with this sample of codeI don't know python but I think you can use this tutorials. ret ,frame = cap.read() give what you called im_rgb and after use your code...
About avi it will depends of your system linux or windows