Comments (1)
@pwshen
Good point! It is correct.
In short, the transform of resize and crop is learned inherently by the network.
In fact, what we always want is the lane coordinates in the original image space. In this way, we have two options:
- option 1
- resize the image
- learn the resized coordinates
- re-resize the learned coordinates to the original image space
- option 2
- resize the image
- learn the original coordinates
- directly output the coordinates to the original image space
The two options' learning difficulties are the same. For example, if a network can learn y=f(x), then it can definitely learn y=3*f(x).
from ultra-fast-lane-detection-v2.
Related Issues (20)
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from ultra-fast-lane-detection-v2.