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d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 d21529f 8442657 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | import os
# Fix Ultralytics permission warning
os.environ["YOLO_CONFIG_DIR"] = "/tmp/Ultralytics"
import gradio as gr
from ultralytics import YOLO
import cv2
print("Loading YOLO model...")
model = YOLO("yolov8n.pt")
print("Model loaded!")
def detect(image):
if image is None:
return None
# Run YOLO inference
results = model(
image,
verbose=False
)
# Draw detections
annotated = results[0].plot()
# Convert BGR -> RGB
annotated = cv2.cvtColor(
annotated,
cv2.COLOR_BGR2RGB
)
return annotated
demo = gr.Interface(
fn=detect,
inputs=gr.Image(
sources=["webcam"],
type="numpy",
label="Mobile Camera"
),
outputs=gr.Image(
type="numpy",
label="AI Detection"
),
title="AI Shop Security Demo",
description="""
Real-time shop monitoring prototype.
Model:
- YOLOv8 Nano
Detects:
- People
- Bags
- Objects
Demo only: detections should be reviewed by humans.
"""
)
demo.launch(
server_name="0.0.0.0"
) |