Comments (5)
Yes, there are restrictions. To detect lanes from another point of view would not be trivial.
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Thanks for the answer.
But do you think your approach is conceivable for such an application? With some modifications. Or are the results achieved precisely because of the restrictions?
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Yes, I think it would work.
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Thanks.
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@stah-ba Have you managed to detect the horizontal lanes with this network ? Thanks in advance
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Related Issues (20)
- A question about the maximum performance HOT 2
- 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
- How to train my own dataset? HOT 3
- What if we do not predict s and h HOT 1
- h_samples HOT 5
- poly_weight HOT 2
- Have you ever done experiments on CULane datasets? HOT 1
- Confidence Scores HOT 3
- from pt convert ONNX model HOT 4
- IndexError
- About testing on other Dataset HOT 1
- change you requirements version
- error encountered while testing
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