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VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

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VectorNet

Paper: VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation link

I will fix bugs in the future, here are my TODO list.

  • implement and debug the network
  • use naive loss to overfit the random dataset
  • implement the evaluation(ADE, DE, ..)
  • implement the loss
  • implement the dataset interface
  • running on the whole dataset
  • submit result to the website https://eval.ai/web/challenges/challenge-page/454/overview
  • visualize the result
  • node completion
  • docker environment

Environment

OS: Linux or MacOS. Because Argoverse dataset only can run on the Linux or MacOS.

Usage

See main.py.

Results

TODO

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VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

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