Comments (4)
Traffic light differ between Town 01/ 02 and the rest of the towns.
If you only train on Town 03/04 you basically fail at red lights by design, you should at least use either Town 01 or 02.
What does bad behavior mean?
-
The lowest batch sizes I have used were ~40 and that did not seem to cause problems. You training set is definitely too small you should train on all towns. Why are you not using a higher batch size if you have 4 GPUs? Or do you mean batch size of 16 per GPU?
-
You don't need more epochs the 40 you have here is enough. I would expect more data to help unless there is another problem here.
-
If you want to reproduce the results in the paper you need to train on all of the dataset.
-
Yes the pre-trained model is trained with the entire dataset. There is not more data.
Besides open loop losses are not really indicative on closed-loop performance.
from transfuser.
Hello, thank you for your reply!
Traffic light differ between Town 01/ 02 and the rest of the towns. If you only train on Town 03/04 you basically fail at red lights by design, you should at least use either Town 01 or 02.
What does bad behavior mean?
It doesn't just fail the red light test, it also fails to maintain accurate lanes and does not drive in the middle of the lane, does not turn into the lane accurately when turning at an intersection, causing collisions with other vehicles.
- The lowest batch sizes I have used were ~40 and that did not seem to cause problems. You training set is definitely too small you should train on all towns. Why are you not using a higher batch size if you have 4 GPUs? Or do you mean batch size of 16 per GPU?
I'm sorry I didn't explain this clearly. I have a batch size of 16 for each GPU.
- You don't need more epochs the 40 you have here is enough. I would expect more data to help unless there is another problem here.
- If you want to reproduce the results in the paper you need to train on all of the dataset.
- Yes the pre-trained model is trained with the entire dataset. There is not more data.
Thank you for your advice, and I will try to use more data for training.
Besides open loop losses are not really indicative on closed-loop performance.
Do you think the abnormal behavior in CARLA I just mentioned are also caused by insufficient training data? Or could there be other errors?
from transfuser.
Do you think the abnormal behavior in CARLA I just mentioned are also caused by insufficient training data? Or could there be other errors?
Hard to tell but low amounts of data could cause these issues, yes.
from transfuser.
OK, I will try to use the whole dataset to train. Thank you very much!
from transfuser.
Related Issues (20)
- Need some help about understanding the code HOT 1
- Some issues about vehicle speed and data collection. HOT 2
- Potential bug in the value of i_stuck? HOT 1
- cvpr2021 model training error HOT 1
- Dependencies error to train the transfuser model HOT 3
- leaderboard error and manager have been define before HOT 1
- KeyError: 'RANK', while training with --parallel_traning 1 HOT 3
- Transformation of bounding boxes from 3D to 2D HOT 1
- CARLA setup error and Running CARLA server without display for evaluation HOT 2
- Dataset for evaluation HOT 2
- my vehicle remains stationary all the time HOT 11
- I met an Error during evaluation. How can I solve it? HOT 8
- RuntimeError: A sensor took too long to send their data - Is it normal to have this message ? HOT 12
- weather changes every 3s on average HOT 2
- error while data collection HOT 4
- Parsing longest6 results Error HOT 2
- FOV in the data HOT 3
- Artifacts in the LiDAR image HOT 1
- 'AttributeError' and 'UnboundLocalError' when running local_evaluation.sh HOT 3
- How to autogenerate route viz on maps HOT 1
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 transfuser.