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| 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 = "<div style='display:flex;flex-direction:column;'>" | |
| for img_file in st.session_state['captured_images']: | |
| image_base64 = get_image_base64(img_file) | |
| sidebar_html += f"<img src='data:image/png;base64,{image_base64}' style='width:100px;'><br>" | |
| sidebar_html += "</div>" | |
| st.sidebar.markdown("## Captured Images") | |
| st.sidebar.markdown(sidebar_html, unsafe_allow_html=True) | |
| time.sleep(0.5) # Add a short delay to reduce CPU usage | |
| except: | |
| st.write('.') | |
| if __name__ == "__main__": | |
| main() | |