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Welcome to the POSE-Lab repository!

To get started with GitHub from scratch you can refer to: https://github.com/pansap99/gitGuide

⚠️ If you are unsure about doing some action with git/github, please consult the repo's maintainers. ⚠️

💻 For safety reasons, once in a while make a backup of your project in your local hard-drive (out of a git repo). 💻

📖 Resources

Hardware Info

WSL installation (W10,11)

  1. Navigate to Control panel -> Programs -> Programs and Features -> Turn Windows features on or off
  2. Check "Virtual Machine Platform" and "Windows Subsystem for Linux"
  3. Open a terminal
  4. Run wsl.exe --install -d Ubuntu-22.04
  5. Run wsl --set-default-version 2
  6. Set up username and password
  7. When you want to enter wsl write wsl or bash. If you want to exit write exit.
  8. If you get an error like "wsl 2 requires an update to its kernel component" then run wsl.exe --update
  9. If you want to open the file explorer a directory inside the wsl write explorer.exe "/path/to/folder"

Conda installation

Windows

  1. Download conda installer from here
  2. Run the .exe file.
  3. Follow the prompts. IMPORTANT: When prompted to add conda to PATH make sure to enable it.

Linux

  1. Install conda installer for Linux from here here
  2. Open the terminal and run
bash <conda-installer-name>-latest-Linux-x86_64.sh
  1. Follow the prompts and accept the defaults.

Mac

Popular repositories Loading

  1. .github .github Public

  2. projects projects Public

    Dedicated repo for POSE-Lab's project pages

    JavaScript

  3. COBRA COBRA Public

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  4. megapose6d megapose6d Public

    Forked from megapose6d/megapose6d

    Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

    Jupyter Notebook

  5. DeepLM DeepLM Public

    Forked from hjwdzh/DeepLM

    DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

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  6. ObjectPoseEstimationSummary ObjectPoseEstimationSummary Public

    Forked from YoungXIAO13/ObjectPoseEstimationSummary

    Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

    Python

Repositories

Showing 10 of 10 repositories
  • megapose6d Public Forked from megapose6d/megapose6d

    Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

    POSE-Lab/megapose6d’s past year of commit activity
    Jupyter Notebook 0 40 0 0 Updated Feb 4, 2025
  • i6DL-Edge-Lite Public

    Light-weight 6D pose estimation for Edge devices

    POSE-Lab/i6DL-Edge-Lite’s past year of commit activity
    Python 0 0 4 0 Updated Jan 28, 2025
  • opencv_fork Public
    POSE-Lab/opencv_fork’s past year of commit activity
    C++ 0 Apache-2.0 0 0 0 Updated Jan 17, 2025
  • POSE-Lab/6DL-PoseGenerator’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jan 11, 2025
  • OnePose Public Forked from zju3dv/OnePose

    Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022

    POSE-Lab/OnePose’s past year of commit activity
    Python 0 Apache-2.0 83 0 0 Updated Jan 7, 2025
  • DeepLM Public Forked from hjwdzh/DeepLM

    DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

    POSE-Lab/DeepLM’s past year of commit activity
    Python 0 GPL-3.0 22 0 0 Updated Nov 30, 2024
  • COBRA Public
    POSE-Lab/COBRA’s past year of commit activity
    Python 0 0 0 0 Updated Oct 22, 2024
  • projects Public

    Dedicated repo for POSE-Lab's project pages

    POSE-Lab/projects’s past year of commit activity
    JavaScript 0 0 0 0 Updated Oct 21, 2024
  • .github Public
    POSE-Lab/.github’s past year of commit activity
    0 0 0 0 Updated Apr 11, 2024
  • ObjectPoseEstimationSummary Public Forked from YoungXIAO13/ObjectPoseEstimationSummary

    Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

    POSE-Lab/ObjectPoseEstimationSummary’s past year of commit activity
    Python 0 MIT 88 0 0 Updated Jul 9, 2023

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