Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| from processor import process_video, process_image | |
| import os | |
| from PIL import Image | |
| import tempfile | |
| import cv2 | |
| st.set_page_config(page_title="Traffic Violation Detection", layout="wide") | |
| st.title("🚦 Traffic Violation Detection App") | |
| # Sidebar for selection | |
| st.sidebar.title("Choose an Option") | |
| option = st.sidebar.radio("Select the processing type:", ("Image", "Video", "Live Camera")) | |
| if option == "Image": | |
| st.header("🖼️ Image Processing") | |
| uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"]) | |
| if uploaded_file is not None: | |
| # Save the uploaded image to a temporary file | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_image: | |
| temp_image.write(uploaded_file.read()) | |
| temp_image_path = temp_image.name | |
| # Display the uploaded image | |
| st.image(uploaded_file, caption='Uploaded Image.', use_column_width=True) | |
| # Process the image | |
| if st.button("Process Image"): | |
| with st.spinner("Processing..."): | |
| font_path = "fonts/alfont_com_arial-1.ttf" # Update the path as needed | |
| processed_image = process_image(temp_image_path, font_path) | |
| if processed_image is not None: | |
| # Convert the processed image to RGB | |
| processed_image_rgb = cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB) | |
| st.image(processed_image_rgb, caption='Processed Image.', use_column_width=True) | |
| # Save processed image to a temporary file | |
| result_image = Image.fromarray(processed_image_rgb) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp: | |
| result_image.save(tmp.name) | |
| tmp_path = tmp.name | |
| # Download button | |
| with open(tmp_path, "rb") as file: | |
| btn = st.download_button( | |
| label="📥 Download Processed Image", | |
| data=file, | |
| file_name="processed_image.jpg", | |
| mime="image/jpeg" | |
| ) | |
| else: | |
| st.error("Failed to process the image.") | |
| elif option == "Video": | |
| st.header("🎥 Video Processing") | |
| video_files = [f for f in os.listdir("videos") if f.endswith(('.mp4', '.avi', '.mov'))] | |
| if not video_files: | |
| st.warning("No predefined videos found in the 'videos/' directory.") | |
| else: | |
| selected_video = st.selectbox("Select a video to process:", video_files) | |
| video_path = os.path.join("videos", selected_video) | |
| st.video(video_path) | |
| if st.button("Process Video"): | |
| with st.spinner("Processing..."): | |
| font_path = "fonts/alfont_com_arial-1.ttf" # Update the path as needed | |
| processed_video_path = process_video(video_path, font_path) | |
| if processed_video_path and os.path.exists(processed_video_path): | |
| st.success("Video processed successfully!") | |
| st.video(processed_video_path) | |
| # Provide download button | |
| with open(processed_video_path, "rb") as file: | |
| btn = st.download_button( | |
| label="📥 Download Processed Video", | |
| data=file, | |
| file_name="processed_video.mp4", | |
| mime="video/mp4" | |
| ) | |
| else: | |
| st.error("Failed to process the video.") | |
| elif option == "Live Camera": | |
| st.header("📷 Live Camera Processing") | |
| st.warning("Live camera processing is currently not supported in this app due to Streamlit limitations.") | |
| st.info("Consider running the live camera processing separately using your existing script.") | |