图片相关

cv2图片中文路径

img_path = r'xxxx.png'

# 这里不支持中文路径
img = cv2.imread(img_path)

# 这里就支持中文路径
img = cv2.imdecode(fromfile(img_path, dtype=uint8), -1)

模板匹配

提取自： smart_onmyoji/moduleGetPos.py

def template_matching(img_src, template, screen_width, screen_height, val, debug_status, i):
    """获取坐标"""
    # img_src = cv2.cvtColor(img_src, cv2.COLOR_BGR2GRAY)
    # template = cv2.cvtColor(template, cv2.COLOR_BGR2GRAY)
    if (img_src is not None) and (template is not None):
        img_tmp_height = template.shape[0]
        img_tmp_width = template.shape[1]  # 获取模板图片的高和宽
        img_src_height = img_src.shape[0]
        img_src_width = img_src.shape[1]  # 匹配原图的宽高
        res = cv2.matchTemplate(img_src, template, cv2.TM_CCOEFF_NORMED)
        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)  # 最小匹配度，最大匹配度，最小匹配度的坐标，最大匹配度的坐标
        if debug_status:
            print(f" 第 [ {i+1} ] 张图片，匹配分数：[ {round(max_val,2)} ]")
        if max_val >= val:  # 计算相对坐标
            position = [int(screen_width / img_src_width * (max_loc[0] + img_tmp_width / 2)),
                        int(screen_height / img_src_height * (max_loc[1] + img_tmp_height / 2))]
            return position
        else:
            return None