yolov5
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18 lines
627 B
18 lines
627 B
import torch
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import numpy
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from towhee.operator import NNOperator
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@register(outputschema=['boxes', 'classes', 'scores'])
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class Yolov5(NNOperator):
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def __init__(self, model_name):
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super().__init__()
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self._model = torch.hub.load("ultralytics/yolov5", model_name, pretrained=True)
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def __call__(self, img: numpy.ndarray):
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# Get object detection results with YOLOv5 model
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results = self._model(img)
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boxes = results.xyxy[0]
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classes = list(results.pandas().xyxy[0].name)
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scores = list(results.pandas().xyxy[0].confidence)
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return boxes, classes, scores
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