a7706fbde22887909db42f96a696437c084c05db,chainercv/evaluations/eval_detection_voc.py,,eval_detection_voc,#Any#Any#Any#Any#Any#Any#Any#Any#,11

Before Change

            selec = np.zeros(gt_bbox_l.shape[0], dtype=bool)

            for bb in pred_bbox_l:
                if len(gt_bbox_l) > 0:
                    iou = bbox_iou(gt_bbox_l, bb[np.newaxis])
                    gt_idx = iou.argmax()
                    iou = iou[gt_idx]
                else:
                    iou = -np.inf

                if iou >= iou_thresh:
                    if gt_difficult_l[gt_idx]:
                        match[l].append(-1)
                    else:
                        if not selec[gt_idx]:
                            match[l].append(1)
                        else:
                            match[l].append(0)
                    selec[gt_idx] = True
                else:
                    match[l].append(0)

    for iter_ in (
            pred_bboxes, pred_labels, pred_scores,
            gt_bboxes, gt_labels, gt_difficults):
        if next(iter_, None) is not None:

After Change

            n_pos[l] += np.logical_not(gt_difficult_l).sum()
            score[l].extend(pred_score_l)

            if len(pred_bbox_l) == 0:
                continue
            if len(gt_bbox_l) == 0:
                match[l].extend((0,) * pred_bbox_l.shape[0])
                continue

            // VOC evaluation follows integer typed bounding boxes.
            pred_bbox_l = pred_bbox_l.copy()
            pred_bbox_l[:, 2:] += 1
            gt_bbox_l = gt_bbox_l.copy()
            gt_bbox_l[:, 2:] += 1

            iou = bbox_iou(pred_bbox_l, gt_bbox_l)
            gt_index = iou.argmax(axis=1)
            match_ = iou.max(axis=1) >= iou_thresh
            del iou

            selec = np.zeros(gt_bbox_l.shape[0], dtype=bool)
            for gt_idx, mc in six.moves.zip(gt_index, match_):

Instances