我在這個答案中嘗試了該方法：
注意演算法：
- 更改閾值以找到不同的匹配位置
- 更改匹配演算法
Check why sometimes you should use max and sometimes use min value found location matching.
helpful links:
Template Matching
OpenCV Template Matching ( cv2.matchTemplate )
Template matching using OpenCV in Python
Update #1
If you want to reach better results you should use feature descriptors like "HOG", "Surf", "SIFT" and ... . Or state of the art object detection models like YOLO are the best known to your problem.
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