Vehicle Detection

This project uses multiple image data sources of vehicles that are parked in a parking slot. The goal of the project is to automate the detection of vehicle in a parking slot given an image.

Required Software:

-> Anaconda 3.6.5 or higher
-> git
-> Visual Studio (for C++ tools)
-> PyCharm

1. Create a virtual environment for Python

python -m venv vehicle-detection-dl-virtenv

2. Activate virtual environment for Python

vehicle-detection-dl-virtenv\Scripts\activate.bat

3. Upgrade pip

python -m pip install --upgrade pip

4. Install required libraries

pip install -r vehicle-detection-dl/requirements.txt

5. Create a Jupyter notebook specific to vehicle-detection-dl-virtenv

ipython kernel install --user --name=vehicle-detection-dl-virtenv

6. Get the repository

git clone https://github.com/ankit2saxena/vehicle-detection-dl.git

7. Deactivate virtual environment

deactivate

8. Start Jupyter Notebook (Anaconda)

jupyter notebook

9. Generate Model Training data

run notebooks/01_download_data.ipynb

10. Generate ML Model

run notebooks/02_build_model.ipynb