nuscenes-devkit
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lyft
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
- [ ] No function to merge the data from 3 lidars. - [ ] We load huge json which takes a while. It is not always needed.
Would be nice to have a function, that for a given sample gets all LIdar points + annotation in the same coordinates. Figuring out what should be mapped where is...
Hey, In `render_annotation` function you don't need a for loop ([here](https://github.com/lyft/nuscenes-devkit/blob/master/lyft_dataset_sdk/lyftdataset.py#L1083)) as there will always be one box in `boxes` (we are doing assertion checks for the same). And you...
Hey, I've found an issue related to render_scene function, running it in Jupyter notebook throws following error: ``` --------------------------------------------------------------------------- error Traceback (most recent call last) in ----> 1 level5data.render_scene(my_scene['token']) /opt/conda/lib/python3.6/site-packages/lyft_dataset_sdk/lyftdataset.py...
Do you have any documentation on how the labels are categorized and, if so, any taxonomy of labels assigned? I’m looking for something like this: https://www.nuscenes.org/data-annotation, category and attribute descriptions:...
I would include all sample tokens for each scene as a list. It would be better then cycling over next_sample_token = my_scene.get("sample", my_sample_token)["next"] for 126 times to get all sample...
In the [dataset Lyft page](https://level5.lyft.com/dataset/) it is reported: > This dataset includes a high quality semantic map. A semantic map provides context to reason about the presence and motion of...
On the [website](https://level5.lyft.com/dataset/download-dataset/), the LiDAR top view visualization sometimes do not match the RGB images. Scene 4 for example: In the beginning of the sequence, the RGB images show a...
```[tasklist] ### Tasks ```
Should pytest be removed from `requirements.txt` so that it can be optionally installed?
