Object Localisation 📦🔎

A Computer Vision project (LOK_1) to mark objects with a bounding box as close-fitting as possible.

Setup Guide 🛠️

Setup local dev environment on Linux/Mac:

After you've successfully setup this project as your template repository, check if python is available python3 --version and python3 -m pip --version. Both statements should return a version number!

Set up a python environment to install all necessary packages locally. In case you don't have virtualenv yet, type python3 -m pip install --user virtualenv. For this you can type python3 -m venv venv. You activate the environment with source venv/bin/activate.

Now you can install all necessary libraries with pip install -r requirements.txt.

Setup local dev environment on Windows:

After you've successfully setup this project as your template repository, check if python is available py --version and py -m pip --version. Both statements should return a version number!

Set up a python environment to install all necessary packages locally. In case you don't have virtualenv yet, type py -m pip install --user virtualenv. For this you can type py -m venv env. You activate the environment with .\env\Scripts\activate.

Now you can install all necessary libraries with pip install -r requirements.txt.

Data 🗂️

We are using the MPII Human Pose dataset which is available here.

Contributers: