detection.py

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import cv2 as cv
 
from .base_metric import BaseMetric
from ..factory import METRICS
 
@METRICS.register
class Detection(BaseMetric):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
 
    def forward(self, model, *args, **kwargs):
        img = args[0]
        size = [img.shape[1], img.shape[0]]
        try:
            model.setInputSize(size)
        except:
            pass
 
        # warmup
        for _ in range(self._warmup_warmup):
            model.infer(img)
        # repeat
        self._timer.reset()
        for _ in range(self._repeat_repeat):
            self._timer.start()
            model.infer(img)
            self._timer.stop()
 
        return self._getResult()