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  • mask sky
  • use the perfectly cropped point clouds for training
  • do not optimize gaussian means
  • not allow model to create or remove Gaussians
  • enable batched optimization
  • fix some cameras on the back are not optimized problem
  • is everything wrongly places? because train cameras dont exactly fit?
  • track the loss flow and see what happens to it
  • add 5 degrees and 50cm error on all 3 axes
  • use cm and degrees in error tracking file
  • add NN for gaussians
  • skip 1 out of 2 frames? ( results in 40 frames for each sensor)
  • add errors to the left camera as well?
  • check if more data on point clouds exist in kitti dataset
  • fish eye camera?