| import cv2 as cv | |
| from .base_metric import BaseMetric | |
| from ..factory import METRICS | |
| class Recognition(BaseMetric): | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| def forward(self, model, *args, **kwargs): | |
| img, bboxes = args | |
| self._timer.reset() | |
| for idx, bbox in enumerate(bboxes): | |
| for _ in range(self._warmup): | |
| model.infer(img, bbox) | |
| for _ in range(self._repeat): | |
| self._timer.start() | |
| model.infer(img, bbox) | |
| self._timer.stop() | |
| return self._getResult() |