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 list_png_files(): return [f for f in os.listdir('.') if f.endswith('.png')] def main(): st.title("Streamlit Camera Input Live Demo") st.header("Try holding a QR code in front of your webcam") if 'captured_images' not in st.session_state: st.session_state['captured_images'] = list_png_files() if 'last_captured' not in st.session_state: st.session_state['last_captured'] = time.time() while True: try: image = camera_input_live() if image is not None: st.image(image. key='', label='') if time.time() - st.session_state['last_captured'] > 5: filename = save_image(image) st.session_state['captured_images'].append(filename) st.session_state['last_captured'] = time.time() sidebar_html = "