4b8716fd4bd6f462a9db9eee958f2508576ec019,gluoncv/utils/metrics/coco_detection.py,COCODetectionMetric,__init__,#COCODetectionMetric#Any#Any#Any#Any#Any#,32

Before Change

    def __init__(self, dataset, save_prefix, use_time=True, cleanup=False, score_thresh=0.05):
        super(COCODetectionMetric, self).__init__("COCOMeanAP")
        self.dataset = dataset
        self._img_ids = sorted(dataset.coco.getImgIds())
        self._current_id = 0
        self._cleanup = cleanup
        self._results = []
        self._score_thresh = score_thresh

After Change

        Use coco to get real scores. 
        if not self._current_id == len(self._img_ids):
            warnings.warn(
                "Recorded {} out of {} validation images, incompelete results".format(
                    self._current_id, len(self._img_ids)))
        import json
        try:
            with open(self._filename, "w") as f:

Instances