Comments (9)
Hi @ucwxb ,
this is unfortunately an issue with the test dataset that has been uploaded to huggingface.
We are aware of this and in the process of uploading a fixed version of the dataset.
In the meantime, We recommend to run training / evaluation on the mini split.
I will follow-up here, once the new version of the dataset is pushed.
Sorry for any inconvenience.
from navsim.
Hi @ucwxb , this is unfortunately an issue with the test dataset that has been uploaded to huggingface. We are aware of this and in the process of uploading a fixed version of the dataset. In the meantime, We recommend to run training / evaluation on the mini split.
I will follow-up here, once the new version of the dataset is pushed.
Sorry for any inconvenience.
Thanks for your reply!
And I also notice that the process still fails on trainval set:
from navsim.
Additionally, when I run the default run_cv_pdm_score_evaluation.sh on the mini split, a series of AssertionError occur. Is this normal? Do I need to further supplement the agent part of the code?
The front part of the log appears to be normal, but the later scenes have no values and display false.
from navsim.
Hi,
I assume you mean the mini
split as we haven't published the trainval
split yet.
Can you please share which version of the dataset you are using to run the metric caching (i.e., when and how did you download it)?
from navsim.
Hi, I assume you mean the
mini
split as we haven't published thetrainval
split yet. Can you please share which version of the dataset you are using to run the metric caching (i.e., when and how did you download it)?
Hi, I follow the download instructions in OpenScene: https://github.com/OpenDriveLab/OpenScene/blob/main/docs/getting_started.md#download-data
And I download the trainval split on the provided OpenDriveLab website: https://openxlab.org.cn/datasets/OpenDriveLab/OpenScene/tree/main/openscene-v1.1
from navsim.
Hi,
thanks for the clarification. The devkit does not yet officially support the trainval
set since we first need to handle some annotation issues in the original trainval
split. Hence, the behavior you see is somewhat expected, i.e., for some scenes the metric cache cannot be generated due to route annotation issues. In consequence, the evaluation will fail for these tokens, which is why you see the assertion error. Thus, for these tokens, the CSV contains no results and the second column (that describes if the results for this token are valid) is set to False
.
We will soon release the next version of the devkit together with the trainval
dataset on huggingface.
However, as far as I can see, you still get valid results for the remaining Scenes (see the "front part" of your CSV).
So, in the meantime, you could still run your agent on the trainval
split, but be aware that results might change slightly once we address all the dataset issues.
I am closing this issue for now. Feel free to re-open or open a new issue once you face more problems.
from navsim.
Thanks for your reply!
from navsim.
Hi,
we uploaded the corrected version of the test dataset (which includes the annotations).
You can download it directly from Huggingface or with the download script.
Besides, the latest fix we pushed today should solve the issue you had with the trainval set (however, no guarantee yet that everything works as its not officially supported yet).
from navsim.
Hi, we uploaded the corrected version of the test dataset (which includes the annotations). You can download it directly from Huggingface or with the download script.
Besides, the latest fix we pushed today should solve the issue you had with the trainval set (however, no guarantee yet that everything works as its not officially supported yet).
Thank you for your timely reply. Please let me know when all datasets are ready. Thanks!
from navsim.
Related Issues (14)
- About required environment variables HOT 2
- About the training set HOT 2
- Log Pickle Loading Fails HOT 8
- Question about the private test set HOT 4
- Can we access the lidar2ego and lidar2global matrixs in private test set? HOT 1
- Inquiry About Future Plans for Handling Ego Past States in Model Inputs HOT 1
- About the negative origin.heading in convert_absolute_to_relative_se2_array HOT 1
- Aligning lidar points‘ coordinates across different frames? HOT 1
- Questions about Navtrain Dataset and warmup_test HOT 3
- Error while loading data for transfuser HOT 8
- The impact of caching to training HOT 1
- Question about driving direction compliance HOT 2
- Test error on private_test_e2e dataset HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from navsim.