Update app.py
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app.py
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import gradio as gr
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from ultralytics import YOLO
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import cv2
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# Model load
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model = YOLO('yolov8n.pt')
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def count_people(video):
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entry_count = 0
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# Gradio interface
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demo = gr.Interface(
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fn=count_people,
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inputs=gr.Video(),
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outputs="
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title="Guest Entry/Exit Management System",
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description="Upload a video to count people"
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import gradio as gr
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from ultralytics import YOLO
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import cv2
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import tempfile
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import os
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# Model load
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model = YOLO('yolov8n.pt')
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def count_people(video):
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if video is None:
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return "Please upload a video!"
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try:
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# Video process karo
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cap = cv2.VideoCapture(video)
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total_detections = 0
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frame_count = 0
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while cap.isOpened():
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ret, frame = cap.read()
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if not ret:
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break
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frame_count += 1
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# Har 5th frame process karo (speed ke liye)
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if frame_count % 5 == 0:
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# Person detect karo
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results = model(frame, classes=[0], verbose=False)
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# Count detections
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if len(results[0].boxes) > 0:
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total_detections += len(results[0].boxes)
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cap.release()
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avg_people = total_detections / (frame_count / 5) if frame_count > 0 else 0
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return f"""
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📊 Detection Results:
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- Total Frames Processed: {frame_count}
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- Total Detections: {total_detections}
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- Average People per Frame: {avg_people:.2f}
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"""
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except Exception as e:
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return f"Error processing video: {str(e)}"
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# Gradio interface
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demo = gr.Interface(
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fn=count_people,
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inputs=gr.Video(label="Upload Video"),
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outputs=gr.Textbox(label="Results"),
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title="🚪 Guest Entry/Exit Management System",
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description="Upload a video to detect and count people using YOLOv8",
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examples=[],
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theme=gr.themes.Soft()
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)
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if __name__ == "__main__":
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demo.launch()
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