diff --git a/main.py b/main.py
index fd8d832..529420f 100644
--- a/main.py
+++ b/main.py
@@ -5,6 +5,7 @@
 from pathlib import Path
 import csv
 import re
+import argparse
 
 # .envファイルから環境変数を読み込む
 load_dotenv()
@@ -18,8 +19,79 @@
 detected_areas = []
 current_image = None
 current_image_name = ""
-all_results = []  # すべての画像の結果を保存するリスト
+all_results = []
+expected_position = 1
+view_mode = 1  # 1: 正面, 2: 背面
 
+def validate_relative_position(center, pos_number, centers):
+    """
+    相対的な位置関係に基づいて点の妥当性をチェック
+    """
+    x, y = center
+    global view_mode
+    
+    if pos_number == 1:
+        return True
+        
+    if pos_number == 2:
+        # Pos2 は Pos1 より左（背面の場合は右）
+        if view_mode == 1:  # 正面
+            return x < centers[0][0]
+        else:  # 背面
+            return x > centers[0][0]
+        
+    if pos_number == 3:
+        # Pos3 は Pos1,2 より下
+        return y > centers[0][1] and y > centers[1][1]
+        
+    if pos_number == 4:
+        # Pos4 は Pos3 より左（背面の場合は右）
+        if view_mode == 1:  # 正面
+            return x < centers[2][0]
+        else:  # 背面
+            return x > centers[2][0]
+        
+    if pos_number == 5:
+        # Pos5 は Pos2 の近くで、より上
+        return abs(x - centers[1][0]) < 50 and y < centers[1][1]
+        
+    if pos_number == 6:
+        # Pos6 は Pos1 の近く
+        return abs(x - centers[0][0]) < 50
+        
+    if pos_number == 7:
+        # Pos7 は Pos6 の下
+        return abs(x - centers[5][0]) < 50 and y > centers[5][1]
+        
+    if pos_number == 8:
+        # Pos8 は Pos2 の近く
+        return abs(x - centers[1][0]) < 50
+        
+    if pos_number == 9:
+        # Pos9 は Pos8 より下
+        return abs(x - centers[7][0]) < 50 and y > centers[7][1]
+        
+    if pos_number == 10:
+        # Pos10 は中央付近（制約を緩和）
+        return 330 < x < 380  # x座標の範囲のみをチェック
+        
+    if pos_number == 11:
+        # Pos11 は Pos10 より下
+        return abs(x - centers[9][0]) < 50 and y > centers[9][1]
+        
+    if pos_number == 12:
+        # Pos12 は Pos9 の近くで下
+        return abs(x - centers[8][0]) < 50 and y > centers[8][1]
+        
+    if pos_number == 13:
+        # Pos13 は Pos12 より下
+        return abs(x - centers[11][0]) < 50 and y > centers[11][1]
+        
+    if pos_number == 14:
+        # Pos14 は Pos13 より右で Pos11 より下
+        return x > centers[12][0] and y > centers[10][1]
+
+    return False
 
 def region_growing(image, seed_point, threshold=60, max_distance=50):
     height, width = image.shape[:2]
@@ -48,7 +120,6 @@
 
     return segmented
 
-
 def detect_ping_pong_ball(image, click_point, max_distance):
     x, y = click_point
     hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
@@ -73,50 +144,102 @@
     print(f"No region detected. Returning clicked point: {click_point}")
     return click_point, 0
 
-
 def on_mouse_click(event, x, y, flags, param):
-    global current_image, clicked_points, detected_centers, detected_areas
+    global current_image, clicked_points, detected_centers, detected_areas, expected_position
+    
     if event == cv2.EVENT_LBUTTONDOWN:
-        clicked_points.append((x, y))
-        print(f"Clicked point: ({x}, {y})")
         center, area = detect_ping_pong_ball(current_image, (x, y), max_distance=10)
-        detected_centers.append(center)
-        detected_areas.append(area)
-
-        if center == (x, y):
-            print("Warning: Detected center is the same as clicked point.")
+        
+        # 位置の妥当性をチェック
+        if validate_relative_position(center, expected_position, detected_centers):
+            clicked_points.append((x, y))
+            detected_centers.append(center)
+            detected_areas.append(area)
+            print(f"Position {expected_position} recorded at {center}")
+            expected_position += 1
+            draw_detection()
         else:
-            print(f"Detected center differs from clicked point. Offset: ({center[0]-x}, {center[1]-y})")
-
-        # 検出結果を描画
-        draw_detection()
+            print(f"Invalid relative position for Pos{expected_position}. Please click the correct position.")
+            show_error_message(f"Invalid relative position for Pos{expected_position}")
+            
     elif event == cv2.EVENT_RBUTTONDOWN:
         if clicked_points:
             clicked_points.pop()
             detected_centers.pop()
             detected_areas.pop()
+            expected_position -= 1
             print("Last click undone")
             draw_detection()
 
+def show_error_message(message):
+    """エラーメッセージを画像に表示"""
+    img_copy = current_image.copy()
+    draw_detection()  # 既存の点を描画
+    
+    # エラーメッセージを画像上部に表示
+    font = cv2.FONT_HERSHEY_SIMPLEX
+    font_scale = 1
+    thickness = 2
+    color = (0, 0, 255)  # 赤色
+    
+    # テキストサイズを取得して中央に配置
+    text_size = cv2.getTextSize(message, font, font_scale, thickness)[0]
+    text_x = (img_copy.shape[1] - text_size[0]) // 2
+    text_y = 50
+    
+    # 背景を描画
+    cv2.rectangle(img_copy, 
+                 (text_x - 10, text_y - text_size[1] - 10),
+                 (text_x + text_size[0] + 10, text_y + 10),
+                 (255, 255, 255),
+                 -1)
+    
+    # テキストを描画
+    cv2.putText(img_copy, message, (text_x, text_y), font, font_scale, color, thickness)
+    cv2.imshow("Image", img_copy)
 
 def draw_detection():
+    """検出結果を描画"""
     global current_image, clicked_points, detected_centers, detected_areas
     image_copy = current_image.copy()
-    for click, center, area in zip(clicked_points, detected_centers, detected_areas):
-        cv2.circle(image_copy, center, int(np.sqrt(area / np.pi)), (0, 255, 0), 2)
+    for i, center in enumerate(detected_centers):
+        # 点を描画
         cv2.circle(image_copy, center, 2, (0, 0, 255), 3)
-        cv2.circle(image_copy, click, 2, (255, 0, 0), -1)  # クリックした点を青で表示
+        
+        # ラベルを描画
+        label = str(i + 1)
+        font = cv2.FONT_HERSHEY_SIMPLEX
+        font_scale = 0.5
+        font_thickness = 1
+        text_offset = (center[0] + 10, center[1] - 10)
+        
+        # 白い背景を付けてラベルを見やすくする
+        (text_width, text_height), _ = cv2.getTextSize(label, font, font_scale, font_thickness)
+        cv2.rectangle(image_copy, 
+                     (text_offset[0] - 2, text_offset[1] - text_height - 2),
+                     (text_offset[0] + text_width + 2, text_offset[1] + 2),
+                     (255, 255, 255),
+                     -1)
+        
+        # ラベルのテキストを描画
+        cv2.putText(image_copy,
+                   label,
+                   text_offset,
+                   font,
+                   font_scale,
+                   (0, 0, 0),
+                   font_thickness)
+    
     cv2.imshow("Image", image_copy)
 
-
 def start_detection():
-    global clicked_points, detected_centers, detected_areas
+    global clicked_points, detected_centers, detected_areas, expected_position
     clicked_points = []
     detected_centers = []
     detected_areas = []
+    expected_position = 1
     cv2.setMouseCallback("Image", on_mouse_click)
-    print("Detection started. Click on ping pong balls. Right-click to undo last click.")
-
+    print("Detection started. Click on ping pong balls in order. Right-click to undo last click.")
 
 def save_results():
     global clicked_points, detected_centers, current_image_name, detected_areas, all_results
@@ -129,7 +252,6 @@
     for center in detected_centers:
         print(center)
 
-
 def save_all_results():
     global all_results
     with open("ping-pong-detection.csv", "w", newline="") as csvfile:
@@ -142,17 +264,24 @@
             writer.writerow(result)
     print("All results saved to ping-pong-detection.csv")
 
-
 def sort_key(filename):
-    # ファイル名からangleの前の数値を抽出
     match = re.search(r"_(-?\d+)_angle", filename)
     if match:
         return int(match.group(1))
-    return 0  # マッチしない場合は0を返す
-
+    return 0
 
 def main():
-    global current_image, current_image_name
+    global current_image, current_image_name, view_mode
+
+    # コマンドライン引数の解析
+    parser = argparse.ArgumentParser(description='Ping pong ball detection')
+    parser.add_argument('view', type=int, choices=[1, 2], help='View mode (1: front, 2: back)')
+    args = parser.parse_args()
+    
+    view_mode = args.view
+    view_name = "front" if view_mode == 1 else "back"
+    print(f"Running in {view_name} view mode")
+
     if not IMAGE_DIR:
         print("Error: IMAGE_DIR is not set in .env file")
         return
@@ -193,6 +322,5 @@
     cv2.destroyAllWindows()
     save_all_results()
 
-
 if __name__ == "__main__":
-    main()
+    main()
\ No newline at end of file
diff --git a/visual.py b/visual.py
new file mode 100644
index 0000000..9ebc292
--- /dev/null
+++ b/visual.py
@@ -0,0 +1,133 @@
+import cv2
+import numpy as np
+import os
+from dotenv import load_dotenv
+from pathlib import Path
+import csv
+import re
+
+# .envファイルから環境変数を読み込む
+load_dotenv()
+
+# 画像ディレクトリのパスを取得
+IMAGE_DIR = os.getenv("IMAGE_DIR")
+
+def read_csv_data(csv_file):
+    """CSVファイルから座標データを読み取る"""
+    data = {}
+    with open(csv_file, 'r') as f:
+        reader = csv.DictReader(f)
+        for row in reader:
+            image_name = row['image_file_name']
+            points = []
+            i = 1
+            while f'Pos{i}_center_x' in row:
+                center = (
+                    int(float(row[f'Pos{i}_center_x'])),
+                    int(float(row[f'Pos{i}_center_y']))
+                )
+                points.append((i, center))  # インデックスと中心座標を保存
+                i += 1
+            data[image_name] = points
+    return data
+
+def sort_key(filename):
+    """ファイル名からangleの前の数値を抽出してソートキーとする"""
+    match = re.search(r"_(-?\d+)_angle", filename)
+    if match:
+        return int(match.group(1))
+    return 0
+
+def draw_points(image, points):
+    """画像に点とラベルを描画する"""
+    image_copy = image.copy()
+    # フォントの設定
+    font = cv2.FONT_HERSHEY_SIMPLEX
+    font_scale = 0.5
+    font_thickness = 1
+    
+    for idx, center in points:
+        # 中心位置を赤で描画
+        cv2.circle(image_copy, center, 2, (0, 0, 255), 3)
+        
+        # ラベルを描画（少し右上にオフセット）
+        label = str(idx)
+        text_offset = (center[0] + 10, center[1] - 10)  # 右上にオフセット
+        
+        # 白い背景を付けてラベルを見やすくする
+        (text_width, text_height), _ = cv2.getTextSize(label, font, font_scale, font_thickness)
+        cv2.rectangle(image_copy, 
+                     (text_offset[0] - 2, text_offset[1] - text_height - 2),
+                     (text_offset[0] + text_width + 2, text_offset[1] + 2),
+                     (255, 255, 255),
+                     -1)
+        
+        # ラベルのテキストを描画
+        cv2.putText(image_copy,
+                   label,
+                   text_offset,
+                   font,
+                   font_scale,
+                   (0, 0, 0),
+                   font_thickness)
+    
+    return image_copy
+
+def main():
+    if not IMAGE_DIR:
+        print("Error: IMAGE_DIR is not set in .env file")
+        return
+
+    image_dir = Path(IMAGE_DIR)
+    if not image_dir.is_dir():
+        print(f"Error: {IMAGE_DIR} is not a valid directory")
+        return
+
+    # CSVデータを読み込む
+    csv_data = read_csv_data('ping-pong-detection.csv')
+
+    # 画像ファイルを取得し、angleの前の数値でソート
+    image_files = list(image_dir.glob("*.png")) + list(image_dir.glob("*.jpg"))
+    image_files.sort(key=lambda x: sort_key(x.name))
+
+    cv2.namedWindow("Image")
+
+    current_image_index = 0
+    while True:
+        if 0 <= current_image_index < len(image_files):
+            image_file = image_files[current_image_index]
+            image = cv2.imread(str(image_file))
+            
+            if image is None:
+                print(f"Error: Unable to read image {image_file}")
+                current_image_index += 1
+                continue
+
+            image_name = image_file.stem
+            if image_name in csv_data:
+                # 点とラベルを描画
+                image_with_points = draw_points(image, csv_data[image_name])
+                cv2.imshow("Image", image_with_points)
+                print(f"Showing {image_file.name} ({current_image_index + 1}/{len(image_files)})")
+            else:
+                print(f"No data found for {image_name}")
+                cv2.imshow("Image", image)
+
+        key = cv2.waitKey(0) & 0xFF
+        if key == ord('n'):  # 次の画像
+            current_image_index += 1
+        elif key == ord('p'):  # 前の画像
+            current_image_index -= 1
+        elif key == 27:  # ESCで終了
+            break
+
+        # インデックスが範囲外になった場合の処理
+        if current_image_index >= len(image_files):
+            current_image_index = 0
+        elif current_image_index < 0:
+            current_image_index = len(image_files) - 1
+
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file