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detect.py

@@ -262,7 +262,9 @@ def run(
 
                     if save_txt:  # Write to file
                         if save_format == 0:
-                            coords = (xyxy2xywh(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist()  # normalized xywh
+                            coords = (
+                                (xyxy2xywh(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist()
+                            )  # normalized xywh
                         else:
                             coords = (torch.tensor(xyxy).view(1, 4) / gn).view(-1).tolist()  # xyxy
                         line = (cls, *coords, conf) if save_conf else (cls, *coords)  # label format
@@ -373,7 +375,12 @@ def parse_opt():
     parser.add_argument("--device", default="", help="cuda device, i.e. 0 or 0,1,2,3 or cpu")
     parser.add_argument("--view-img", action="store_true", help="show results")
     parser.add_argument("--save-txt", action="store_true", help="save results to *.txt")
-    parser.add_argument("--save-format", type=int, default=0, help="whether to save boxes coordinates in YOLO format or Pascal-VOC format when save-txt is True, 0 for YOLO and 1 for Pascal-VOC")
+    parser.add_argument(
+        "--save-format",
+        type=int,
+        default=0,
+        help="whether to save boxes coordinates in YOLO format or Pascal-VOC format when save-txt is True, 0 for YOLO and 1 for Pascal-VOC",
+    )
     parser.add_argument("--save-csv", action="store_true", help="save results in CSV format")
     parser.add_argument("--save-conf", action="store_true", help="save confidences in --save-txt labels")
     parser.add_argument("--save-crop", action="store_true", help="save cropped prediction boxes")