• Parking: https://youtu.be/W_FU94QPROM
• Kitti: https://youtu.be/BZOVhOeJ-Cw
• Malaga: https://youtu.be/CdZAbssPqkc

The screencasts were recorded on a Macbook Pro M1 with 16 GiB. The code was executed in the conda environment on the CPU.

• Anaconda or Miniconda (for managing the environment)
• Python 3.9

1. Clone the repository to your local machine:

   git clone https://github.com/alenfrey/vamr-project
   cd vamr-project
   

2. Create and activate the Conda environment, and install the required packages:

   conda env create -f env.yml
   conda activate vamr
   

To download the datasets, run the python script download_datasets.py from the project root directory:

python3 download_datasets.py

This project uses pytest and Hypothesis for testing to ensure code quality and reliability.

The parking dataset needs to be downloaded before running the tests. To run the tests, navigate to the project root directory in your terminal and execute the following command:

pytest

pytest will automatically discover and run all tests in the project, including those generated by Hypothesis.

Our tests are located in the tests directory.