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camera internal and external parameters #7

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duohaoxue opened this issue May 7, 2022 · 2 comments
Closed

camera internal and external parameters #7

duohaoxue opened this issue May 7, 2022 · 2 comments

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@duohaoxue
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Hello, model training must be heavily dependent on camera extrinsic and extrinsic parameters? Will the effect be much worse if I use it?

  I_inv = batch['intrinsics'].inverse()           # b n 3 3
  E_inv = batch['extrinsics'].inverse()           # b n 4 4

Thanks a lot!

@bradyz
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bradyz commented May 7, 2022

If you don't have these camera parameters the model's performance would indeed decrease -
Table 3 shows the model's performance decreases by several points with unknown extrinsics.

If your camera pose is guaranteed fixed with respect to the ego vehicle, the network could learn these parameters though and still perform well

@duohaoxue
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Thank you very much for your answers

@bradyz bradyz closed this as completed May 10, 2022
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