🚦Traffic Sign Classification through Images

A simple app template for you to classify the traffic signs and also our Computer Vision Introduction - CS231.P12 course project!

How to run it on your own machine

1. Install the requirements

   $ pip install -r requirements.txt
   

2. Run the app

   $ streamlit run streamlit_app.py
   

Members

Student Name	Student ID
Nguyen Duy Hoang	22520467
Ha Huy Hoang	22520460

Project Structure

1. data: Store traffic sign images and labels in train, test, and demo directories

2. extras: Contains two folders and one file:

   • One folder for code containing scripts for tasks such as checking the percentage of traffic signs in the image frame, renaming multiple image files, etc.
   • Another folder containing Vietnam's legal documents regarding traffic signs.
   • requirements.txt file storing Mr. Mai Tien Dung's requirements for slides and report.

3. grid_search_results: Store parameter tuning attempts and different data processing methods

4. joblib: Store the best model files, images in np.array format and extracted features

5. model: Contains the main notebook file (main.ipynb) for Vietnam traffic sign classification program

6. report: Contains files related to the report, including .tex, .pdf, and other resources.

7. slide: Contains the slide presentation for the project.

8. deploy_web.py: Python file containing code to deploy website using Streamlit framework

9. requirements.txt: Store necessary dependencies and requirements