Update dependency opencv-python to v4.9.0.80

Pipfile

@@ -24,7 +24,7 @@ types-toml = "==0.10.8.7"
 python-dotenv = "==1.0.0"
 requests = "==2.31.0"
 Pillow = ">=7.1.2"
-opencv-python = "==4.8.1.78"
+opencv-python = "==4.9.0.80"
 pyperclip = "==1.8.2"
 click = "==8.1.7"
 psycopg2-binary = "==2.9.9"

library/hatomap.py

@@ -357,12 +357,26 @@ def get_image(self, bbox: WebMercatorPixelBBox) -> np.ndarray:
 
         if self.brightness != 1.0 or self.chroma != 1.0:
             img_hsv = cv2.cvtColor(layer_img, cv2.COLOR_BGR2HSV)
-            img_hsv[..., 1] = img_hsv[..., 1] * self.brightness
-            img_hsv[..., 2] = img_hsv[..., 2] * self.chroma
+            img_hsv = img_hsv.astype(np.float32)  # HSV値をfloatに変換
+
+            # 中間変数を使用（self.brightness と self.chroma を直接使用）
+            hsv_1 = img_hsv[..., 1] * self.brightness
+            hsv_2 = img_hsv[..., 2] * self.chroma
+
+            # 型アサーションを追加
+            assert hsv_1.dtype == np.float32 and hsv_2.dtype == np.float32
+
+            img_hsv[..., 1] = np.clip(hsv_1, 0, 255)
+            img_hsv[..., 2] = np.clip(hsv_2, 0, 255)
+            img_hsv = img_hsv.astype(np.uint8)  # HSV値を元の型に戻す
             layer_img = cv2.cvtColor(img_hsv, cv2.COLOR_HSV2BGR)
 
         if self.opacity != 1.0:
-            layer_img[layer_img[..., 3] != 0, 3] = int(round(self.opacity * 256))
+            layer_img = layer_img.astype(np.float32)  # HSV値をfloatに変換
+            layer_img[layer_img[..., 3] != 0, 3] = np.clip(
+                layer_img[layer_img[..., 3] != 0, 3] * self.opacity * 256, 0, 255
+            )
+            layer_img = layer_img.astype(np.uint8)  # 画像を元の型に戻す
 
         return layer_img