Comments (3)
The predicted confidence scores are not in the provided log.txt
files. The conf
value shown is the loss component related to the confidence score.
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Thank you for your response, so what information does the conf score shown in the log.txt files carry? Is this related to training performance?
And also, I want the model to classify the lanes (solid, dashed, double). Is it possible, and if so, how?
I would be glad if you help me with this.
from polylanenet.
Thank you for your response, so what information does the conf score shown in the log.txt files carry? Is this related to training performance?
As stated previously, the conf
value shown is the loss component related to the confidence score.
And also, I want the model to classify the lanes (solid, dashed, double). Is it possible, and if so, how?
Yes, it is possible. The elas.py
file is an example on how to load a dataset with classification annotations. You can use it as a base to provide a data loader for your dataset.
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Related Issues (20)
- A problem about sharing the top-y (h) in lib/models.py line 103 HOT 3
- The problem of predicting performance HOT 1
- Question about sharing the horizon HOT 4
- The question about LPD HOT 2
- A problem about the "curriculum_steps" in lib/models.py line 65 HOT 1
- A consultation on the GPU number HOT 3
- problem about speed HOT 2
- Check param count HOT 2
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- What if we do not predict s and h HOT 1
- h_samples HOT 5
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- Have you ever done experiments on CULane datasets? HOT 1
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- IndexError
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- change you requirements version
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