ultralytics 目标检测 混淆矩阵 背景图像 没被记录

修改

utils/metrics.py

ConfusionMatrix

    def process_batch(self, detections, gt_bboxes, gt_cls):
        """
        Update confusion matrix for object detection task.

        Args:
            detections (Array[N, 6] | Array[N, 7]): Detected bounding boxes and their associated information.
                                      Each row should contain (x1, y1, x2, y2, conf, class)
                                      or with an additional element `angle` when it's obb.
            gt_bboxes (Array[M, 4]| Array[N, 5]): Ground truth bounding boxes with xyxy/xyxyr format.
            gt_cls (Array[M]): The class labels.
        """
        if gt_cls.shape[0] == 0:  # Check if labels is empty
            if detections is not None:
                detections = detections[detections[:, 4] > self.conf]
                if detections.shape[0] == 0:
                    self.matrix[self.nc, self.nc] += 1  # true background
                else:
                    detection_classes = detections[:, 5].int()
                    for dc in detection_clas
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