Comments (3)
running the result parser should give you the same result csv file every time.
Can you send us the transfuser_longest6.json and the commands you used to run the result parser, so that we can reproduce the problem?
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The result json also puts an average DS of the routes in this file at the end of the file.
However only the DS, RC, IS are correct in this file, the other metrics are calculated wrongly (that is why you need the result parser, it will recalculate them with the correct math).
The result parser should produce the same DS as written in there.
As far as I can see the result parser is deterministic, so I don't see how you can get different results.
Can you email me an example .json file where this happens ([email protected])?
I would like to reproduce the error to see what is going on.
Note that the result parser will average all .json files inside the folder you give him, so you should make sure that there is only 1 file (that contains all routes) or there are 36 (* repetiotion) .json files each containing 1 route.
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Related Issues (20)
- Lane change HOT 2
- eval error HOT 1
- Bad evaluation results after training HOT 6
- trainning data HOT 1
- scenarios HOT 1
- normalize the gps HOT 3
- sensor.opendrive_map
- sensor.opendrive_map HOT 3
- Failed Routes in Data Generation HOT 2
- Question Recreating Dataset HOT 1
- Script for rerunning failed routes HOT 3
- ConvNext Backbone - AttributeError: 'ImageCNN' object has no attribute 'config' HOT 2
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- About the dataset HOT 4
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- Relationship between image resolution and backbone. HOT 2
- Finetune without `optimizer.pth` HOT 4
- Visualize 2D prediction and BEV prediction during evaluation HOT 2
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