Rebeca Villarraso

Computer Vision Testing Analyst

less than 1 minute read

Objectives

  1. Continue adapting Ganav and DeepLabV3+ with the RELLIS-3D and RUGD datasets.
  2. GitHub Pages cloning repository.
  3. Create post for the current and the last 3 weeks work progress.

Progress This Week

1. GANav and DeepLabV3+ on Rellis-3D

Reproduction the GANav-offroad Github repository to perform semantic segmentation with the RELLIS-3D and RUGD datasets. RUGD have 24 semantic categories and RELLIS-3D have 20 semantic categories. The GANav-offroad repository reprocesses the two datasets to group the categories into 6 groups. To do this, new mask images are created with the new category ids and these are used for semantic segmentation. The repository was reproduced on a local computer and the code was executed without any modification.

The adaptation of Rellis-3D to DeepLabV3 could not be achieved, I still have problems adapting the data set to the network. The reasons are still being investigated.

More information: https://github.com/RoboticsLabURJC/2024-tfm-rebeca-villaraso/tree/main/docs/TESTS/Test3_GANav

2. Github Pages

The Github Pages template could be cloned.

3. Create post for the current and the last 3 weeks work progress.

The content from previous weeks could be updated in new posts.

Next Week Work Planning

  1. Continue adapting DeepLabV3+ with the RELLIS-3D dataset.
  2. Update Github Pages.

References

  • [Rellis-3D] https://www.unmannedlab.org/research/RELLIS-3D
  • [RUGD Dataset] http://rugd.vision/
  • [GANav-offroad] https://github.com/rayguan97/GANav-offroad