fix resize

app.py

@@ -58,10 +58,6 @@ def inference(img, version, scale, weight):
         else:
             img_mode = None
 
-        h, w = img.shape[0:2]
-        if h < 300:
-            img = cv2.resize(img, (w * 2, h * 2), interpolation=cv2.INTER_LANCZOS4)
-
         if version == 'v1.2':
             face_enhancer = GFPGANer(
             model_path='GFPGANv1.2.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
@@ -84,10 +80,9 @@ def inference(img, version, scale, weight):
             print('Error', error)
 
         try:
-            if scale != 2:
-                interpolation = cv2.INTER_AREA if scale < 2 else cv2.INTER_LANCZOS4
-                h, w = img.shape[0:2]
-                output = cv2.resize(output, (int(w * scale), int(h * scale)), interpolation=interpolation)
+            interpolation = cv2.INTER_AREA if scale < 2 else cv2.INTER_LANCZOS4
+            h, w = img.shape[0:2]
+            output = cv2.resize(output, (int(w * scale), int(h * scale)), interpolation=interpolation)
         except Exception as error:
             print('wrong scale input.', error)
         if img_mode == 'RGBA':  # RGBA images should be saved in png format