nuscenes-devkit
nuscenes-devkit copied to clipboard
lyft
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
Hey, Is there a way to convert the translation field in `ego_pose` to lat/long? e.g. ```{'rotation': [-0.6004078747001647, -0.000868287440477486, 0.0018651459228555055, 0.7996912850004297], 'translation': [1007.2332778546752, 1725.4217301399462, -24.58000073380586], 'token': 'dbdc26bb9a33d0a5e8eb51100bc488986da68636c4a4b7d59d68f80a0eb4447e', 'timestamp': 1557858039502712.2}```
It happened when I am working on Lyft Dataset for 3D object detection using Frustum Pointnet. When performing the LiDAR projection on to image and frustum is extracted. It's doesn't...
I try like this: ``` my_sample = level5data.get('sample', my_sample_token) sensor_channel_list=['CAM_FRONT', 'LIDAR_TOP', 'CAM_BACK'] for sensor_channel in sensor_channel_list: my_sample_data = level5data.get('sample_data', my_sample['data'][sensor_channel]) Path, box_list, cam_intrinsic = level5data.get_sample_data(my_sample_data['token']) print('{} channel path = {}'.format(sensor_channel,...
I believe that there is a small flaw in the data_classes.py file in the LidarPointCloud class (PointCloud). Because not all files that I tried to get have the same format...
Hi, I saw comments on https://github.com/lyft/nuscenes-devkit/issues/8 but I found no sample which has 1920x1080 resolution images, in v1.02 dataset. Could you be more specific on this? Thanks!
It's mentioned that there are two kinds of LiDAR and camera sensor are used in the dataset (https://level5.lyft.com/dataset/). However, there seems no way to identify the difference in the dataset...
Good afternoon. How are you? I'm sorry for the inconvenience. I am studying perception systems for autonomous vehicles. At this point I'm using the Lyft Level 5 dataset. My goal...
The provided map file only contains binary segmentation masks for road/sidewalk/etc. While road lanes are marked with colored lines in the map file, there are no raw lane coordinate data...
 could you help me with this error, it happens when I run the Model example
