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| import streamlit as st | |
| from utils.levels import complete_level, initialize_level, render_page, get_level | |
| from utils.login import initialize_login | |
| initialize_login() | |
| initialize_level() | |
| LEVEL = 0 | |
| import cv2 | |
| def intro_page(): | |
| st.title("Webcam Live Feed") | |
| run = st.checkbox('Run') | |
| FRAME_WINDOW = st.image([]) | |
| camera = cv2.VideoCapture(0) | |
| while run: | |
| _, frame = camera.read() | |
| frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) | |
| FRAME_WINDOW.image(frame) | |
| else: | |
| st.write('Stopped') | |
| # st.header("Face Recognition") | |
| # st.subheader("Introduction") | |
| # st.write( | |
| # """ | |
| # Welcome to the interactive tutorial on creating your very own Face Recognition Application! | |
| # """ | |
| # ) | |
| # | |
| # st.image( | |
| # "https://static.wixstatic.com/media/abb909_35aa4b27e4b840659a20fd69f0a18354~mv2.gif", | |
| # use_column_width=True, | |
| # ) | |
| # | |
| # st.write( | |
| # """ | |
| # In this tutorial, you will learn how to build a simple application that can detect and recognise faces from a given photo. Face recognition has revolutionized | |
| # various industries, including security, entertainment, and personal identification. Are you ready to dive into the exciting world of face recognition? | |
| # """ | |
| # ) | |
| # | |
| # st.info(f"Click on the button below to start the tutorial!") | |
| # | |
| # if st.button("I am Ready!"): | |
| # complete_level(LEVEL) | |
| render_page(intro_page, LEVEL) | |