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a question about score value in PredictionsTextFile export #56
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Thanks! @aguscas you may have some insight on this. |
Hello there! We are not using the confidence score of the detections during the evaluations. If you set that score to be anything greater or equal to -1, the evaluation will return the same results. If you set it to something less than -1, that specific prediction will be ignored during the evaluation. What I mean is that, it doesn't really matter to which number you set that confidence value, as long as it is greater or equal to -1 |
@aguscas thanks for your response! In this comment you mentioned that when score is 0, that detection will be ignored during evaluation: #42 (comment). That got me a bit confused. Are detections with score of 0 ignored or only detections with -1 are being ignored? |
If you set to 0 the confidence in your ground truth files, then that object will be ignored. So there are 2 confidence values, one thing is the confidence value in your trackers (which we set to -1), and another thing is the confidence value in the ground truth labels (which is set to 1 when you want to take that object into account in the evaluation, or 0 otherwise). |
@aguscas thanks a lot, that clears all things up! One last question. Are there any more differences between tracker output and ground truth or is this all i need to know while arranging ground truths and tracker outputs? |
I think everything else is exactly the same |
Thanks @aguscas for the help, we definitely need to do a better job at documenting some parts of this :) |
Thanks for this great library 馃憤
I'm wondering why is here the prediction score of the detection is exported as -1?
norfair/norfair/metrics.py
Line 93 in 4d59a4d
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