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Runtime error
| import gradio as gr | |
| from ultralyticsplus import YOLO, render_result | |
| # load model | |
| model = YOLO("keremberke/yolov8m-protective-equipment-detection") | |
| # set model parameters | |
| model.overrides["conf"] = 0.25 # NMS confidence threshold | |
| model.overrides["iou"] = 0.45 # NMS IoU threshold | |
| model.overrides["agnostic_nms"] = False # NMS class-agnostic | |
| model.overrides["max_det"] = 1000 # maximum number of detections per image | |
| def get_result(img): | |
| results = model.predict(img) | |
| return render_result(model=model, image=img, result=results[0]) | |
| title = "Personal Protective Equipment Detector" | |
| description = "Upload an image to identify who is wearing a PPE and who is not." | |
| examples = ["https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg"] | |
| iface = gr.Interface( | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| fn=get_result, | |
| inputs=gr.components.Image(shape=(512, 512)), | |
| outputs=gr.components.Image(shape=(512, 512)), | |
| ) | |
| iface.launch() | |