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# This is a Gradio app that provides a video forensics suite with various tools for video analysis. | |
import gradio as gr | |
# Define a function to clean audio from a video file. | |
def clean_audio(video): | |
# Placeholder function for audio cleaning | |
return video | |
# Define a function to enhance the video quality. | |
def enhance_video(video): | |
# Placeholder function for video enhancement | |
return video | |
# Define a function to capture a frame from the video. | |
def capture_frame(video, frame_number): | |
# Placeholder function for frame capture | |
return video | |
# Define a function to detect faces in the video. | |
def face_detection(video): | |
# Placeholder function for face detection | |
return video | |
# Define a function to zoom and pan the video. | |
def zoom_pan(video, zoom_level, pan_x, pan_y): | |
# Placeholder function for zoom and pan | |
return video | |
# Define a function to recognize license plates in the video. | |
def plate_recognition(video): | |
# Placeholder function for plate recognition | |
return video | |
# Define a function to generate a report. | |
def generate_report(video): | |
# Placeholder function for report generation | |
return "Report generated for video: " + video | |
# Create a Gradio Blocks interface for the video forensics suite. | |
with gr.Blocks() as demo: | |
# Define the header section | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("# Advanced Video Forensics & Analysis") | |
gr.Markdown("Professional-grade tools for video enhancement, audio cleaning, facial recognition, and license plate analysis. Transform low-quality footage into actionable intelligence.") | |
gr.Button("Start Analysis", variant="primary") | |
# Define the features section | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("### Clean Audio") | |
gr.Markdown("Remove background noise, enhance speech clarity, and isolate voices with our advanced audio processing algorithms.") | |
with gr.Column(): | |
gr.Markdown("### Video Enhancement") | |
gr.Markdown("Improve resolution, reduce noise, and enhance details in low-quality video footage for better analysis.") | |
with gr.Column(): | |
gr.Markdown("### Still Extraction") | |
gr.Markdown("Capture high-quality still images from video at any frame for detailed examination and evidence collection.") | |
with gr.Column(): | |
gr.Markdown("### Face Recognition") | |
gr.Markdown("Identify and track individuals across video sequences with our state-of-the-art facial recognition technology.") | |
with gr.Column(): | |
gr.Markdown("### Precision Zoom") | |
gr.Markdown("Digital zoom with intelligent interpolation to maintain image quality when examining details.") | |
with gr.Column(): | |
gr.Markdown("### License Plate Focus") | |
gr.Markdown("Automatically detect and enhance license plates for clear identification and OCR processing.") | |
# Define the workspace section | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("## Forensic Workspace") | |
gr.Markdown("Current File: surveillance_footage_042.mp4") | |
with gr.Row(): | |
gr.Button("Clean Audio", variant="secondary") | |
gr.Button("Enhance Video", variant="secondary") | |
gr.Button("Capture Frame", variant="secondary") | |
gr.Button("Face Detection", variant="secondary") | |
gr.Button("Zoom & Pan", variant="secondary") | |
gr.Button("Plate Recognition", variant="secondary") | |
gr.Button("Generate Report", variant="secondary") | |
# Video container | |
video_input = gr.Video(label="Video Analysis in Progress") | |
# Controls | |
with gr.Row(): | |
gr.Button("Step Backward", variant="secondary") | |
gr.Button("Play", variant="secondary") | |
gr.Button("Step Forward", variant="secondary") | |
gr.Button("Pause", variant="secondary") | |
gr.Button("Expand", variant="secondary") | |
# Define the analytics section | |
with gr.Row(): | |
with gr.Column(): | |
gr.Markdown("### Detection Accuracy") | |
gr.Plot(label="Accuracy Metrics Visualization") | |
with gr.Column(): | |
gr.Markdown("### Identified Subjects") | |
gr.Plot(label="Subject Tracking Graph") | |
with gr.Column(): | |
gr.Markdown("### License Plates") | |
gr.Plot(label="Plate Recognition Results") | |
# Launch the Gradio interface | |
demo.launch(show_error=True) |