diff --git a/YOLO/README.md b/YOLO/README.md
index ed69593..2236b9c 100644
--- a/YOLO/README.md
+++ b/YOLO/README.md
@@ -1,6 +1,10 @@
 # YOLO调试记录
 
-## data 数据yaml文件配置
+
+## data文件夹 yaml文件配置
+
+该文件夹中配置的是数据集的路径及类别信息
+
 
 ```python
 path: ../datasets/dimo4
@@ -20,9 +24,12 @@ names:
 python export.py --weights runs/train/exp4/weights/best.pt --img 640 --batch 1 --device 0 --include onnx --opset 15       
 ```
 
-weights地址: runs/train/exp4/weights/xxx.pt    路径中的模型为pt文件
 
-在detect.py中batch为1        batch在detect中不能更改 
+通过export.py导出的文件格式为onnx
+
+weights地址: runs/train/exp4/weights/xxx.pt    best.pt为train.py训练后所得模型
+
+在detect.py中batch为1，batch在detect中不能更改,所以在导出onnx模型文件时要设置batch 1     batch在detect中不能更改
 
 ![image-20241113133535978](./README.assets/image-20241113133535978.png)
 
@@ -45,15 +52,31 @@ onnx
 ```
 
 
+![image-20241113182234260](C:\Users\91492\AppData\Roaming\Typora\typora-user-images\image-20241113182234260.png)
 
 ## 模型加载
 
+### 命令行形式
+
+```bash
+python detect.py --weights runs\train\exp4\weights\best.onnx --data D:\yolov5- master\data\dimo4.yaml
+```
+
+![image-20241113133825646](./README.assets/image-20241113133825646.png)
+
+![image-20241113133840896](./README.assets/image-20241113133840896.png)
+
+![image-20241113133850391](./README.assets/image-20241113133850391.png)
+
+### PyCharm配置
+
 ```bash
 --weights
 runs\train\exp4\weights\best.onnx
 --data
 D:\yolov5-master\data\dimo4.yaml
 ```
+![image-20241113182433935](C:\Users\91492\AppData\Roaming\Typora\typora-user-images\image-20241113182433935.png)
 
 在detect.py中
 
@@ -61,8 +84,10 @@ D:\yolov5-master\data\dimo4.yaml
 
 或者 ：runs/train/exp4/weights/xxx.onnx
 
+
 ![image-20241113133825646](./README.assets/image-20241113133825646.png)
 
 ![image-20241113133840896](./README.assets/image-20241113133840896.png)
 
-![image-20241113133850391](./README.assets/image-20241113133850391.png)
\ No newline at end of file
+![image-20241113133850391](./README.assets/image-20241113133850391.png)
+