| 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) |
| |
|
|
