def im_detect_bbox_aspect_ratio(
    model, im, aspect_ratio, box_proposals=None, hflip=False
):
    """Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    """
    # Compute predictions on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_ar = box_utils.aspect_ratio(box_proposals, aspect_ratio)
    else:
        box_proposals_ar = None

    if hflip:
        scores_ar, boxes_ar, _ = im_detect_bbox_hflip(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            box_proposals=box_proposals_ar
        )
    else:
        scores_ar, boxes_ar, _ = im_detect_bbox(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            boxes=box_proposals_ar
        )

    # Invert the detected boxes
    boxes_inv = box_utils.aspect_ratio(boxes_ar, 1.0 / aspect_ratio)

    return scores_ar, boxes_inv
Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    
detectron/core/test.py