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from ultralytics import YOLO | |
import numpy as np | |
from PIL import Image | |
import matplotlib.pyplot as plt | |
import gradio as gr | |
model=YOLO('yolov10n.pt') | |
def predict_image(image): | |
np_image=np.array(image) | |
results=model.predict(source=np_image) | |
result_images=results[0].plot() | |
return result_images | |
iface=gr.Interface( | |
fn=predict_image, | |
inputs=gr.Image(type='pil', label="Chon mot tep anh? "), | |
outputs=gr.Image(type='pil', label="Anh dau ra"), | |
title="YOLOv10 Object Detection", | |
description="Chon mot tep anh de nhan dien doi tuong" | |
) | |
iface.launch() |