diff --git a/test.py b/test.py
index 4f5671f..b43bc83 100644
--- a/test.py
+++ b/test.py
@@ -69,7 +69,7 @@ if __name__ == '__main__':
     print("forward time:%fms"%time)
 
     # 特征图后处理
-    output = handel_preds(preds, device, opt.thresh)
+    output = handle_preds(preds, device, opt.thresh)
 
     # 加载label names
     LABEL_NAMES = []
diff --git a/utils/evaluation.py b/utils/evaluation.py
index f00f5cc..f7123b2 100644
--- a/utils/evaluation.py
+++ b/utils/evaluation.py
@@ -68,7 +68,7 @@ class CocoDetectionEvaluator():
                 # 模型预测
                 preds = model(imgs)
                 # 特征图后处理
-                output = handel_preds(preds, self.device, 0.001)
+                output = handle_preds(preds, self.device, 0.001)
 
             # 检测结果
             N, _, H, W = imgs.shape
diff --git a/utils/tool.py b/utils/tool.py
index 021b71d..fd4ee4f 100644
--- a/utils/tool.py
+++ b/utils/tool.py
@@ -58,7 +58,7 @@ class EMA():
         self.backup = {}
 
 # 后处理(归一化后的坐标)
-def handel_preds(preds, device, conf_thresh=0.25, nms_thresh=0.45):
+def handle_preds(preds, device, conf_thresh=0.25, nms_thresh=0.45):
     total_bboxes, output_bboxes  = [], []
     # 将特征图转换为检测框的坐标
     N, C, H, W = preds.shape
@@ -117,4 +117,4 @@ def handel_preds(preds, device, conf_thresh=0.25, nms_thresh=0.45):
             for i in keep:
                 output.append(temp[i])
         output_bboxes.append(torch.Tensor(output))
-    return output_bboxes
\ No newline at end of file
+    return output_bboxes