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| import gradio as gr | |
| import PIL.Image as Image | |
| from ultralytics import YOLO | |
| model = YOLO('./models/best.pt') | |
| def infer(img_path): | |
| results = model(img_path) | |
| im_array = results[0].plot() | |
| im = Image.fromarray(im_array[..., ::-1]) | |
| return im | |
| article = "**μ΄λ―Έμ§λ₯Ό μ λ‘λνμΈμ.**" \ | |
| demo = gr.Interface(fn=infer, | |
| inputs=gr.Image(type="numpy", label="Input Image"), | |
| outputs=gr.Image(type="pil", label="Result") | |
| # examples=[image_path,] | |
| ) | |
| demo.launch() |