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Browse files- gradio_practice.py +27 -0
gradio_practice.py
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# load libraries
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from huggingface_hub import hf_hub_download
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from ultralytics import YOLO
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from supervision import Detections
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import cv2
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import gradio as gr
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# download model
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model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")
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# load model
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model = YOLO(model_path)
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def bounding(input_img):
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output = model(input_img)
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results = Detections.from_ultralytics(output[0])
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arr_int = results.xyxy.astype(int)
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for x,y,x2,y2 in arr_int:
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cv2.rectangle(input_img, (x,y),(x2,y2),(0,255,0),2)
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return input_img
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demo = gr.Interface(bounding, gr.Image(), "image")
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demo.launch()
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