moh3th1's profile - activity

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 code

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)

What is the best way to track mario in this video ?

I tried many algorithms like CAMShift .. and tried Object Tracking Algorithms in opencv 3 like BOOSTING, MIL, TLD, MEDIANFLOW but all of them failed with super mario

you can see the video from here : super mario video Link