Update README.md

README.md

@@ -112,7 +112,7 @@ cd /your_code_path/pointpillars-pytorch
 python train.py --data_root your_path_to_kitti
 ```
 
-## 推理-验证
+## 推理
 - 从官方下载权重：https://github.com/zhulf0804/PointPillars/tree/main/pretrained
 ```
 cd /your_code_path/pointpillars-pytorch
@@ -154,6 +154,17 @@ AOS AP: 74.4584 68.3366 65.2222
 bbox_bev AP: 78.1073 70.4609 66.9258
 bbox_3d AP: 72.8538 62.0781 59.3903
 ```
+NV精度
+| Repo | Metric | Overall | Pedestrian | Cyclist | Car |
+| :---: | :---: | :---: | :---: | :---: | :---: |
+| this repo | 3D-BBox | 73.3259 62.7834 59.6278 | 51.4642 47.9446 43.8040 | 81.8677 63.6617 60.9126 | 86.6456 76.7439 74.1668 | 
+| [mmdet3d v0.18.1](https://github.com/open-mmlab/mmdetection3d/tree/v0.18.1) | 3D-BBox  | 72.0537, 60.1114, 55.8320 | 52.0263, 46.4037, 42.4841 | 78.7231, 59.9526, 57.2489 | 85.4118, 73.9780, 67.7630 |
+| this repo | BEV | 77.8540 69.8003 66.6699 | 59.1687 54.3456 50.5023 | 84.4268 67.1409 63.7409 | 89.9664 87.9145 85.7664 | 
+| [mmdet3d v0.18.1](https://github.com/open-mmlab/mmdetection3d/tree/v0.18.1) | BEV | 76.6485, 67.7609, 64.5605 | 59.0778, 53.3638, 48.4230 | 80.9328, 63.3447, 60.0618 | 89.9348, 86.5743, 85.1967 |
+| this repo | 2D-BBox | 80.5097 74.6120 71.4758 | 64.6249 61.4201 57.5965 | 86.2569 73.0828 70.1726 | 90.6471 89.3330 86.6583 |
+| [mmdet3d v0.18.1](https://github.com/open-mmlab/mmdetection3d/tree/v0.18.1) | 2D-BBox | 78.4938, 73.4781, 70.3613 | 62.2413, 58.9157, 55.3660 | 82.6460, 72.3547, 68.4669 | 90.5939, 89.1638, 87.2511 |
+| this repo | AOS | 74.9647 68.1712 65.2817 | 49.3777 46.7284 43.8352 | 85.0412 69.1024 66.2801 | 90.4752 88.6828 85.7298 |
+| [mmdet3d v0.18.1](https://github.com/open-mmlab/mmdetection3d/tree/v0.18.1) | AOS | 72.41, 66.23, 63.55 | 46.00, 43.22, 40.94 | 80.85, 67.20, 63.63 | 90.37, 88.27, 86.07 |
 
 
 ## 应用场景
@@ -161,7 +172,7 @@ bbox_3d AP: 72.8538 62.0781 59.3903
 文本理解
 
 ### 热点应用行业
-制造,智能驾驶,3D点云
+自动驾驶,目标检测,目标检测
 
 
 ## 源码仓库及问题反馈