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Correct me if am wrong, PINet only trained on a fixed number of lanes isn't it? So that in real scenarios, sometimes we may have more than lanes which model trained on, how to detect all these lanes if actual world have more lanes?
The text was updated successfully, but these errors were encountered:
When the PINet is trained, the number of lanes is not fixed. You can train the model with the arbitrary number of lanes. However, the provided pre-trained weight was trained on tuSimple dataset, and the maximum number of lanes of the dataset is 5. So I can't be sure that the pre-trained weight will work well on more lanes than 5. Only feature size for embedding is fixed, and it has no major effect on tuSimple dataset. However, if you want to train the model for a lot of lanes, you may need to increase the feature size for more better performance. Thank you!
Correct me if am wrong, PINet only trained on a fixed number of lanes isn't it? So that in real scenarios, sometimes we may have more than lanes which model trained on, how to detect all these lanes if actual world have more lanes?
The text was updated successfully, but these errors were encountered: