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import gradio as gr | |
import torch | |
from PIL import Image | |
model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True) | |
def detect(image): | |
results = model(image) | |
results.render() | |
return Image.fromarray(results.imgs[0]) | |
inputs = gr.inputs.Image(type='pil', label="Original Image") | |
outputs = gr.outputs.Image(type="pil", label="Output Image") | |
title = "Object detection from Infrared image using YOLOv5n" | |
gr.Interface(detect, inputs, outputs, title=title, theme="huggingface").launch(debug=True) | |