| import glob | |
| import gradio as gr | |
| from ultralytics import YOLO | |
| model_path = "best.pt" | |
| model = YOLO(model_path) | |
| PREDICT_KWARGS = { | |
| "conf": 0.15, | |
| } | |
| def run(image_path): | |
| results = model.predict(image_path, **PREDICT_KWARGS) | |
| return results[0].plot()[:, :, ::-1] # reverse channels for gradio | |
| title = "Vulnerable Marine Ecosystems (VME) Detector" | |
| description = ( | |
| "" | |
| ) | |
| examples = glob.glob("images/*.png") | |
| interface = gr.Interface( | |
| run, | |
| inputs=[gr.components.Image(type="filepath")], | |
| outputs=gr.components.Image(type="numpy"), | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| ) | |
| interface.queue().launch() | |