From 3d6e9a1c786a373528b5f2d5f4aaa14216f692f2 Mon Sep 17 00:00:00 2001 From: "hudingchang.vendor" Date: Wed, 22 Sep 2021 18:17:16 +0800 Subject: [PATCH] fix typo --- docs/datasets/kitti_det.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/datasets/kitti_det.md b/docs/datasets/kitti_det.md index 9fd49bbfb7..ea7f76665a 100644 --- a/docs/datasets/kitti_det.md +++ b/docs/datasets/kitti_det.md @@ -151,6 +151,7 @@ train_pipeline = [ - `GlobalRotScaleTrans`: rotate input point cloud. ## Evaluation + An example to evaluate PointPillars with 8 GPUs with kitti metrics is as follows: ```shell @@ -158,6 +159,7 @@ bash tools/dist_test.sh configs/pointrcnn/pointrcnn_2x8_kitti-3d-3classes.py wor ``` ## Metrics + KITTI evaluates 3D object detection performance using mean Average Precision (mAP) and Average Orientation Similarity (AOS), Please refer to its [official website](http://www.cvlibs.net/datasets/kitti/eval_3dobject.php) and [original paper](http://www.cvlibs.net/publications/Geiger2012CVPR.pdf) for more details. We also adopt this approach for evaluation on KITTI. An example of printed evaluation results is as follows: