I am working on OpenCV for the first time and I tried doing Template matching using the cv2.matchTemplate function. Single Template matching is working fine in my code but I am not able to do multi-template matching as it is showing thousands of template matches across the entire target image.

This is the code I am working with.

import cv2 as cv
import numpy as np

img = cv.resize(cv.imread("highway.jpg"), (0, 0), fx = 0.34, fy = 0.34)
# cv.imshow("Highway or Myway", img)
# cv.waitKey(0)
# img_gray = cv.resize(cv.imread("highway.jpg"), (0, 0), fx = 0.34, fy = 0.34)
template = cv.resize(cv.imread("blue_car.png"), (0,0), fx = 0.8, fy = 0.8)
th, tw = template.shape[:2]
                     
methods = [cv.TM_CCOEFF, cv.TM_CCOEFF_NORMED, cv.TM_CCORR, cv.TM_CCORR_NORMED, cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]
for method in methods:
    img_cpy = img.copy()
    result = cv.matchTemplate(img_cpy, template, method)

    # Single template matching
    # min_val, max_val, min_loc, max_loc = cv.minMaxLoc(result) 
    # location = min_loc if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED] else max_loc
    # bottom_right = (location[0]+tw, location[1]+th)
    # print(f"{method} and {location}")
    # cv.rectangle(img, location, bottom_right, (0, 165, 255), 2)

    # Multiple template matching
    threshold = 0.2 if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED] else 0.8
    location = np.where(result >= threshold)

    for loc in zip(*location[::-1]):
        # print(f"{method} and {loc}")
        bottom_right = (loc[0]+tw, loc[1]+th)
        cv.rectangle(img_cpy, loc, bottom_right, (0, 165, 255), 2)
    
    cv.imshow("Identify", img_cpy)
    cv.waitKey(0)

cv.destroyAllWindows()

I think there is some problem in the way I am thresholding but I cannot find any suitable solution.

I am attaching the Github link in case you want to see the code or the images I am using:
https://github.com/Tashyab/python-workshop/tree/master/OpenCV
(The code is in the file temp_matching.py)

Also, Can anyone tell me any automated or faster way to spot the rotated templates (or the template in other orientations) in my image instead of rotating my template and running the algorithm for the rotated template again? Thanks.