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DeepLearning Final Project

This repository is the code for the final group project of NYU DS-GA 1008 Deep Learning class, taught by Yann LeCun.

Team member: Jiayi Du, Meiyi He, Ziyu Lei (DHL)

Folders Description:

  1. starter_files: The files provided by instructors.
  2. hrnet: Predict binary road map using HRNets (High-resolution Networks).
  3. yolo: Predict bounding boxes using YOLO network.
  4. pretrain: AutoEncoder for pretraining on unlabeled data.
  5. submission: Since it's a competition, we have 3 rounds of submissions.
  6. visualization: Visualize the predictions made by trained models.
  7. archived: some legacy code.

Given input images (captured by 6 cameras mounted on ego car): Sample

Predicted Result in the following formats: Road Map Bounding Box