import streamlit as st import cv2 import numpy as np import datetime import os import time import base64 from camera_input_live import camera_input_live def save_image(image): timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") filename = f"captured_image_{timestamp}.png" bytes_data = image.getvalue() cv2_img = cv2.imdecode(np.frombuffer(bytes_data, np.uint8), cv2.IMREAD_COLOR) cv2.imwrite(filename, cv2_img) return filename def get_image_base64(image_path): with open(image_path, "rb") as image_file: return base64.b64encode(image_file.read()).decode() def main(): st.title("Streamlit Camera Input Live Demo") st.header("Try holding a QR code in front of your webcam") # Slider for snapshot interval snapshot_interval = st.sidebar.slider("Snapshot Interval (seconds)", 1, 10, 5) # Display container for live image image_placeholder = st.empty() # Initialize session state for captured images and last captured time if 'captured_images' not in st.session_state: st.session_state['captured_images'] = [] if 'last_captured' not in st.session_state: st.session_state['last_captured'] = time.time() # Capture and display live image image = camera_input_live() if image is not None: image_placeholder.image(image) # Save image based on interval if time.time() - st.session_state['last_captured'] > snapshot_interval: filename = save_image(image) st.session_state['captured_images'].append(filename) st.session_state['last_captured'] = time.time() # Update sidebar with captured images sidebar_html = "
" for img_file in st.session_state['captured_images']: image_base64 = get_image_base64(img_file) sidebar_html += f"
" sidebar_html += "
" st.sidebar.markdown("## Captured Images") st.sidebar.markdown(sidebar_html, unsafe_allow_html=True) # Trigger a rerun of the app to update the live feed st.experimental_rerun() if __name__ == "__main__": main()