Cleanup load_image() (#2871)

utils/datasets.py

@@ -634,10 +634,10 @@ def load_image(self, index):
         img = cv2.imread(path)  # BGR
         assert img is not None, 'Image Not Found ' + path
         h0, w0 = img.shape[:2]  # orig hw
-        r = self.img_size / max(h0, w0)  # resize image to img_size
-        if r != 1:  # always resize down, only resize up if training with augmentation
-            interp = cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR
-            img = cv2.resize(img, (int(w0 * r), int(h0 * r)), interpolation=interp)
+        r = self.img_size / max(h0, w0)  # ratio
+        if r != 1:  # if sizes are not equal
+            img = cv2.resize(img, (int(w0 * r), int(h0 * r)),
+                             interpolation=cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR)
         return img, (h0, w0), img.shape[:2]  # img, hw_original, hw_resized
     else:
         return self.imgs[index], self.img_hw0[index], self.img_hw[index]  # img, hw_original, hw_resized