resize image using backend;add resize radio button

frontend resize image will reduce image quality

lama_cleaner/helper.py

@@ -40,21 +40,42 @@ def numpy_to_bytes(image_numpy: np.ndarray) -> bytes:
     return image_bytes
 
 
-def load_img(img_bytes, gray: bool = False, norm: bool = True):
+def load_img(img_bytes, gray: bool = False):
     nparr = np.frombuffer(img_bytes, np.uint8)
     if gray:
-        np_img = cv2.imdecode(nparr, cv2.IMREAD_GRAYSCALE)[:, :, np.newaxis]
+        np_img = cv2.imdecode(nparr, cv2.IMREAD_GRAYSCALE)
     else:
-        np_img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-        np_img = cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB)
-
-    if norm:
-        np_img = np.transpose(np_img, (2, 0, 1))
-        np_img = np_img.astype("float32") / 255
+        np_img = cv2.imdecode(nparr, cv2.IMREAD_UNCHANGED)
+        if len(np_img.shape) == 3 and np_img.shape[2] == 4:
+            np_img = cv2.cvtColor(np_img, cv2.COLOR_BGRA2RGB)
+        else:
+            np_img = cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB)
 
     return np_img
 
 
+def norm_img(np_img):
+    if len(np_img.shape) == 2:
+        np_img = np_img[:, :, np.newaxis]
+    np_img = np.transpose(np_img, (2, 0, 1))
+    np_img = np_img.astype("float32") / 255
+    return np_img
+
+
+def resize_max_size(
+    np_img, size_limit: int, interpolation=cv2.INTER_CUBIC
+) -> np.ndarray:
+    # Resize image's longer size to size_limit if longer size larger than size_limit
+    h, w = np_img.shape[:2]
+    if max(h, w) > size_limit:
+        ratio = size_limit / max(h, w)
+        new_w = int(w * ratio + 0.5)
+        new_h = int(h * ratio + 0.5)
+        return cv2.resize(np_img, dsize=(new_w, new_h), interpolation=interpolation)
+    else:
+        return np_img
+
+
 def pad_img_to_modulo(img, mod):
     channels, height, width = img.shape
     out_height = ceil_modulo(height, mod)