Update README.md

README.md

@@ -1,9 +1,9 @@
----
-license: cc-by-nc-nd-4.0
-tags:
-- Autonomous Driving
-- Computer Vision
----
+---
+license: cc-by-nc-nd-4.0
+tags:
+- Autonomous Driving
+- Computer Vision
+---
 # Dataset Tutorial
 
 ### The MARS dataset follows the same structure as the NuScenes Dataset.
@@ -12,9 +12,9 @@ Multitraversal: each location is saved as one NuScenes object, and each traversa
 
 Multiagent: the whole set is a NuScenes object, and each multi-agent encounter is one scene.
 
-<br/>
-
+---
 ## Initialization
+
 First, install `nuscenes-devkit` following NuScenes's repo tutorial, [Devkit setup section](https://github.com/nutonomy/nuscenes-devkit?tab=readme-ov-file#devkit-setup). The easiest way is install via pip:
 ```
 pip install nuscenes-devkit
@@ -38,8 +38,7 @@ Multiagent example: loading data for the full set:
 mars_multiagent = NuScenes(version='v1.0', dataroot=f'/MARS_multiagent', verbose=True)
 ```
 
-<br/>
-
+---
 ## Scene
 To see all scenes in one set (one location of the Multitraversal set, or the whole Multiagent set):
 ```
@@ -77,8 +76,7 @@ Output:
 - `intersection`: location index. 
 - `err_max`: maximum time difference (in millisecond) between camera images of a same frame in this scene.
 
-<br/>
-
+---
 ## Sample
 Get the first sample (frame) of one scene:
 ```
@@ -111,8 +109,7 @@ Output:
 - `data`: dict of data tokens of this sample's sensor data.
 - `anns`: empty as we do not have annotation data at this moment.
 
-<br/>
-
+---
 ## Sample Data
 Our sensor names are different from NuScenes' sensor names. It is important that you use the correct name when querying sensor data. Our sensor names are:
 ```
@@ -333,8 +330,7 @@ CAM_FRONT_CENTER pose:
 
 ```
 
-<br/>
-
+---
 ## LiDAR-Image projection
 - Use NuScenes devkit's `render_pointcloud_in_image()` method.
 - The first variable is a sample token.