Comments (5)
lucastabelini
commented on July 18, 2024
If your dataset's annotations are in TuSimple's format, it should not be difficult. You can modify the default settings to use your data.
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liangjxiong
commented on July 18, 2024
Can you specify which parameters should be modified? I don't know much about this.
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liangjxiong
commented on July 18, 2024
Another point is that the maximum number of lane lines in my dataset is 4, and some are less than 4. How should this be solved?
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liangjxiong
commented on July 18, 2024
I have solved the above problems. I run: Python test py --exp_ name tusimple_ resnet34 --cfg ./ cfgs/tusimple_ resnet34. yaml --epoch 2695。FPS is 947.644. Why is FPS so high? In your paper, FPS is more than 100.
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lucastabelini
commented on July 18, 2024
I'm not sure. But if the output seems correct, the faster the better :)
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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
- How to train my own dataset? HOT 3
- What if we do not predict s and h HOT 1
- 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
- Issue in testing
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