t

test.py

@@ -138,7 +138,7 @@ def test(data,
             predn = pred.clone()
             scale_coords(img[si].shape[1:], predn[:, :4], shapes[si][0], shapes[si][1])  # native-space pred
 
-            # Append to text file（文本发）
+            # Append to text file（文本）
             if save_txt:
                 gn = torch.tensor(shapes[si][0])[[1, 0, 1, 0]]  # normalization gain whwh
                 for *xyxy, conf, cls in predn.tolist():
@@ -171,7 +171,7 @@ def test(data,
                                   'bbox': [round(x, 3) for x in b],
                                   'score': round(p[4], 5)})
 
-            # Assign all predictions as incorrect tes
+            # Assign all predictions as incorrect test inc
             correct = torch.zeros(pred.shape[0], niou, dtype=torch.bool, device=device)
             if nl:
                 detected = []  # target indices