import contextlib import time from functools import wraps from io import StringIO from zipfile import ZipFile import streamlit as st from PIL import Image import evaluator from yolo_dataset import YoloDataset from yolo_fire import detect def main(): # Header & Page Config. st.set_page_config( page_title="Fire&Smoke Detection", layout="centered") st.title("Fire&Smoke Detection:") detect_tab, evaluate_tab = st.tabs(["Detect", "Evaluate"]) with evaluate_tab: buffer = st.file_uploader("Upload your Yolo Dataset here", type=["zip"]) if buffer: with st.spinner('Wait for it...'): # Slider for changing confidence confidence = st.slider('Confidence Threshold', 0, 100, 30) yolo_dataset = YoloDataset.from_zip_file(ZipFile(buffer)) capture_output(evaluator.evaluate)(coco_gt=yolo_dataset.to_coco(), loader=yolo_dataset.load_image, confidence_threshold=confidence / 100.0) with detect_tab: # This will let you upload PNG, JPG & JPEG File buffer = st.file_uploader("Upload your Image here", type=["jpg", "png", "jpeg"]) if buffer: # Object Detecting with st.spinner('Wait for it...'): # Slider for changing confidence confidence = st.slider('Confidence Threshold', 0, 100, 30) # Calculating time for detection t1 = time.time() im = Image.open(buffer) # im.save("saved_images/image.jpg") res_img = detect(im, confidence / 100.0) t2 = time.time() # Displaying the image st.image(res_img, use_column_width=True) # Printing Time st.write("\n") st.write("Time taken: ", t2 - t1, "sec.") def capture_output(func): """Capture output from running a function and write using streamlit.""" @wraps(func) def wrapper(*args, **kwargs): # Redirect output to string buffers stdout, stderr = StringIO(), StringIO() try: with contextlib.redirect_stdout(stdout), contextlib.redirect_stderr(stderr): return func(*args, **kwargs) except Exception as err: st.write(f"Failure while executing: {err}") finally: if _stdout := stdout.getvalue(): st.write("Execution stdout:") st.code(_stdout) if _stderr := stderr.getvalue(): st.write("Execution stderr:") st.code(_stderr) return wrapper if __name__ == '__main__': main()