This project is an image classification application using Convolutional Neural Network, where trained model is saved as H5 file. Train images are manually scraped from an e-commerce website (Candian Tire) using Beautiful Soup and Selenium.
Required Libraries:
- streamlit
- skimage
- opencv
- tensorflow
- numpy
- pandas
To run in your local:
- Clone the project.
- Install the required libraries
- Run streamlit in your cmd or conda using this command: streamlit run prod_recog2.py
**Note: ensure that you are inside the /app_codes directory when you run this command. - Webpage will automatically open in your browser. If not, manually type this in the address box: http://localhost:8501/
- To edit the code, open prod_recog2.py in your python IDE or Notepad++