[Python] Python3 Opencv template matching with Contours on jetson nano [closed]

I have a problem to get result from OpenCV template matching with Contours on Jetson Nano En715. The below code working perfect on PC (windows and Linux) system without any delay or lag, but when I run it on Jetson Nano En715 with USB camera C270 Logitech (this camera same as camera I use on pc). I can not matching template. No error, just the template and image are not match.

Dose anyone can help me what is the problem? maybe from my code or maybe Jetson Nano En715 so weak for that and has lag.

import cv2
import numpy as np
import matplotlib.pyplot as plt
from math import copysign, log10
MatchImage = False
vc = cv2.VideoCapture(0)
template = cv2.imread('template.jpg')
template_img = template
plt.axis('off')
plt.imshow(template)
plt.title('OUR TEMPLATE')
plt.show()
template = cv2.cvtColor(template,cv2.COLOR_BGR2GRAY)
_, target = vc.read()
img_copy=target.copy()
target_gray = cv2.cvtColor(target,cv2.COLOR_BGR2GRAY)
plt.axis('off')
plt.imshow(target)
plt.title('OUR TARGET')
plt.show()
ret,thresh1 = cv2.threshold(template,127,255,0)
ret,thresh2 = cv2.threshold(target_gray,127,255,0)
contours,hierarchy = cv2.findContours(thresh1,cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE)
if hierarchy[0][0][3] == -1 :
cv2.drawContours(template_img,contours,-1,(0,255,0),3)
else:
cv2.drawContours(template_img,contours,-1,(0,0,255),3)
plt.axis('off')
plt.imshow(template_img)
plt.title('Identifying the Contours')
plt.show()
sorted_contours = sorted(contours, key=cv2.contourArea, reverse=True)
template_contour = contours[1]
contours,hierarchy = cv2.findContours(thresh2,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
match = cv2.matchShapes(template_contour,c,3,0.0)
print(match)
if match < 0.15:
closest_contour = c
area = cv2.contourArea(c)
printtext = 'data print: ' + str(area)
print (printtext)
if (match < 0.01):
cv2.drawContours(target,[closest_contour],-1,(255,0,0),3)
c = max([closest_contour], key = cv2.contourArea)
x,y,w,h = cv2.boundingRect(c)
cv2.rectangle(target, (x,y), (x+w,y+h), (0,255,0), 5)
print ("Match")
MatchImage = True
plt.title("Original Image with a bounding box")
plt.imshow(target)
plt.show()
if MatchImage == False:
print("not match")
plt.title("Original Image with a bounding box")
plt.imshow(target)
plt.show()
if MatchImage == True:
plt.title("Original Image with a bounding box")
plt.imshow(target)
plt.show()

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