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import streamlit as st | |
import cv2 | |
import numpy as np | |
import datetime | |
import os | |
from camera_input_live import camera_input_live | |
def save_image(image): | |
# Generate a timestamped filename | |
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") | |
filename = f"captured_image_{timestamp}.png" | |
# Convert the image to OpenCV format and save | |
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 main(): | |
st.title("Streamlit Camera Input Live Demo") | |
st.header("Try holding a QR code in front of your webcam") | |
image = camera_input_live() | |
if image is not None: | |
st.image(image) | |
filename = save_image(image) | |
st.sidebar.markdown(f"## Captured Images") | |
st.sidebar.markdown(f"- [{filename}](./{filename})") | |
# QR Code Detection | |
detector = cv2.QRCodeDetector() | |
bytes_data = image.getvalue() | |
cv2_img = cv2.imdecode(np.frombuffer(bytes_data, np.uint8), cv2.IMREAD_COLOR) | |
data, bbox, straight_qrcode = detector.detectAndDecode(cv2_img) | |
if data: | |
st.write("# Found QR code") | |
st.write(data) | |
with st.expander("Show details"): | |
st.write("BBox:", bbox) | |
st.write("Straight QR code:", straight_qrcode) | |
if __name__ == "__main__": | |
main() | |