/ArtificialFlyingObjects

Artificial Flying Objects

Primary LanguageJupyter NotebookMIT LicenseMIT

Artificial Flying Objects Dataset

Artificial Flying Objects Dataset

  • 128x128x3
  • Around 30 frames in each sequence,
  • In total 10K data for training, 2K for validation and 2K for testing

Example Gif

Miniconda Installation

To install miniconda firstly download the installer to the desired machine here.

Then simply run the following commands:

  • chmod +x Miniconda3-latest-Linux-x86_64.sh <- This will make the .sh executable
  • conda env create --file conda_environment.yml
  • Wait until it finish installing all necessary packages and then activate your new environment using conda activate lab
  • Just a friendly reminder, you have a quota of 10GB, so please do not do update all to your environment/miniconda.

Launching your jupyter

You can either use the instructions from the Instructions to use MobaXterm or you can create your own tunnel via ssh using the following commands:

  • ssh -L[desiredlocalport]:localhost:[desiredandfreedistantport] -p 20022 [studentID]@[machinename].hh.se
  • jupyter notebook --port [desiredandfreedistantport] --no-browser
  • Copy paste the url shown on the terminal to a tab on your browser