<commit_before>import cv2
import numpy as np
     
     
img = cv2.imread('red circle.jpg',0)
img2 = img.copy()
template = cv2.imread('image4_with_sample.jpg',0)
w, h = template.shape[::-1]
     
# All the 6 methods for comparison in a list
methods = ['cv2.TM_CCOEFF']
    
img = img2.copy()
method = eval(methods)
    
# Apply template Matching
res = cv2.matchTemplate(img,template,method)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
   
    
top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)
    
cv2.rectangle(img,top_left, bottom_right, 255, 2)

cv2.imwrite('Matching Result.jpg',res)
cv2.imwrite('Detected Point.jpg',img)
    <commit_msg>Template matching.py syntax<commit_after>import cv2
import numpy as np
     
     
img = cv2.imread('red circle.jpg',0)
img2 = img.copy()
template = cv2.imread('image4_with_sample.jpg',0)
w, h = template.shape[::-1]
     
# All the 6 methods for comparison in a list
#methods = ['cv2.TM_CCOEFF']
    
img = img2.copy()
#method = eval(methods)
    
# Apply template Matching
res = cv2.matchTemplate(img,template,cv2.TM_CCOEFF)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
   
    
top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)
    
cv2.rectangle(img,top_left, bottom_right, 255, 2)

cv2.imwrite('Matching Result.jpg',res)
cv2.imwrite('Detected Point.jpg',img)
    
{'fraction_non_alphanumeric': 0.13566739606126915, 'fraction_numerical': 0.03282275711159737, 'mean_word_length': 4.0256410256410255, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '495058', 'n_tokens_mistral': 548, 'n_tokens_neox': 535, 'n_words': 114}