Traffic Sign Recognition DNN

Set-up and Installation

This project utilizes pipenv, the package manager. Open a terminal in the project directory and..

1. Install pipenv pip install pipenv
2. Start a virtual environment specific to this project pipenv shell
3. Install all packages from pipfile to the virtual environment pipenv install

Type FLASK_APP=hello.py FLASK_ENV=development flask run and navigate to 127.0.0.1 in your browser.

Pages

/user/{name}

A dynamic user layout scheme is in place. Navigate to /user/Dog and /user/Cat to see the difference.

/graph

This page generates an example matplotlib figure, saves the data as an image png, and uses html tags to render the graph.

/test1

This page rotates a traffic sign 90 degrees, classifying the sign for each degree of rotation. The accuracy is computed and the corresponding rotation angle and classification is visualized.