传统视觉方法识别指针仪表

对于一些特殊场景和仪表数量较少时比较适合。

一 找出目标区

通过labelme 将仪表范围框出来，并进行转换：

data = json.load(open(mask_path, encoding='utf-8'))
shapes = data['shapes']
        target_label = '1'
        for shape in shapes:
            label = shape['label']
            if label == target_label:
                points = [[float(x[0]), float(x[1])] for x in shape['points']]
                points = np.float32(sort_points(points))

            elif label == '2':
                aim_points = [[float(x[0]), float(x[1])] for x in shape['points']]
                aim_points = np.float32(sort_points(aim_points))

            elif label == '3':
                angle_points = [[float(round(x[0])), float(round(x[1]))] for x in shape['points']]
                angle_points = np.float32(angle_points)

二 角度转换

2.1 points 排序

def sort_points_angle(points, meter_number, frame):
    """
    根据角度排序
    """
    meter_number = [0, 0.5, 1, 1.5]
    # print('points:', points)
    center_point = find_center_point(points)
    # print('center point:', center_point)

    other_points = [point for point in points if not np.all(point =&#