(pred_boxlists, gt_boxlists, iou_thresh=0.5, use_07_metric=False)
return {"ap": ap, "map": np.nanmean(ap)}
Evaluate on voc dataset.
    Args:
        pred_boxlists(list[BoxList]): pred boxlist, has labels and scores fields.
        gt_boxlists(list[BoxList]): ground truth boxlist, has labels field.
        iou_thresh: iou thresh
        use_07_metric: boolean
    Returns:
        dict represents the results
Evaluate on voc dataset.
    Args:
        pred_boxlists(list[BoxList]): pred boxlist, has labels and scores fields.
        gt_boxlists(list[BoxList]): ground truth boxlist, has labels field.
        iou_thresh: iou thresh
        use_07_metric: boolean
    Returns:
        dict represents the results
Evaluate on voc dataset . Args : pred_boxlists ( list [ BoxList ] ) : pred boxlist has labels and scores fields . gt_boxlists ( list [ BoxList ] ) : ground truth boxlist has labels field . iou_thresh : iou thresh use_07_metric : boolean Returns : dict represents the results
def eval_detection_voc(pred_boxlists, gt_boxlists, iou_thresh=0.5, use_07_metric=False):
    """Evaluate on voc dataset.
    Args:
        pred_boxlists(list[BoxList]): pred boxlist, has labels and scores fields.
        gt_boxlists(list[BoxList]): ground truth boxlist, has labels field.
        iou_thresh: iou thresh
        use_07_metric: boolean
    Returns:
        dict represents the results
    """
    assert len(gt_boxlists) == len(
        pred_boxlists
    ), "Length of gt and pred lists need to be same."
    prec, rec = calc_detection_voc_prec_rec(
        pred_boxlists=pred_boxlists, gt_boxlists=gt_boxlists, iou_thresh=iou_thresh
    )
    ap = calc_detection_voc_ap(prec, rec, use_07_metric=use_07_metric)
    return {"ap": ap, "map": np.nanmean(ap)}
def eval_detection_voc ( pred_boxlists , gt_boxlists , iou_thresh = 0.5 , use_07_metric = False ) : assert len ( gt_boxlists ) == len ( pred_boxlists ) , "Length of gt and pred lists need to be same." prec , rec = calc_detection_voc_prec_rec ( pred_boxlists = pred_boxlists , gt_boxlists = gt_boxlists , iou_thresh = iou_thresh ) ap = calc_detection_voc_ap ( prec , rec , use_07_metric = use_07_metric ) return { "ap" : ap , "map" : np . nanmean ( ap ) }