fix format error

SangbumChoi · Jan 6, 2023 · 0eeb96a · 0eeb96a
1 parent 5122fd7
commit 0eeb96a
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 2 deletions.
diff --git a/README.md b/README.md
@@ -43,7 +43,8 @@ Implementation of paper - [YOLOv6: A Single-Stage Object Detection Framework for
 | [**YOLOv6-M6**](https://github.com/meituan/YOLOv6/releases/download/0.3.0/yolov6m6.pt) | 1280 | 55.2                     | 47                                      | 55                                       | 79.6                 | 379.5               |
 | [**YOLOv6-L6**](https://github.com/meituan/YOLOv6/releases/download/0.3.0/yolov6l6.pt) | 1280 | 57.2                     | 26                                      | 29                                       | 140.4                | 673.4               |
 <details>
-  <summary>Table Notes</summary>
+<summary>Table Notes</summary>
+
 - All checkpoints are trained with self-distillation except for YOLOv6-N6/S6 models trained to 300 epochs without distillation.  
 - Results of the mAP and speed are evaluated on [COCO val2017](https://cocodataset.org/#download) dataset with the input resolution of 640×640 for P5 models and 1280x1280 for P6 models.
 - Speed is tested with TensorRT 7.2 on T4.

diff --git a/README_cn.md b/README_cn.md
@@ -34,7 +34,8 @@
 | [**YOLOv6-L6**](https://github.com/meituan/YOLOv6/releases/download/0.3.0/yolov6l6.pt) | 1280 | 57.2                     | 26                                      | 29                                       | 140.4                | 673.4               |
 
 <details>
-  <summary>表格笔记</summary>
+<summary>表格笔记</summary>
+
 - 除了 YOLOv6-N6/S6 模型是训练了300轮的结果，其余模型均为自蒸馏训练之后的结果；  
 - mAP 和速度指标是在 [COCO val2017](https://cocodataset.org/#download)  数据集上评估的，P5模型输入分辨率为 640×640，P6模型输入分辨率为 1280×1280；
 - 速度是在 T4 上测试的，TensorRT 版本为 7.2；