def im_detect_all()

in detectron/core/test.py [0:0]


def im_detect_all(model, im, box_proposals, timers=None):
    if timers is None:
        timers = defaultdict(Timer)

    # Handle RetinaNet testing separately for now
    if cfg.RETINANET.RETINANET_ON:
        cls_boxes = test_retinanet.im_detect_bbox(model, im, timers)
        return cls_boxes, None, None

    timers['im_detect_bbox'].tic()
    if cfg.TEST.BBOX_AUG.ENABLED:
        scores, boxes, im_scale = im_detect_bbox_aug(model, im, box_proposals)
    else:
        scores, boxes, im_scale = im_detect_bbox(
            model, im, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE, boxes=box_proposals
        )
    timers['im_detect_bbox'].toc()

    # score and boxes are from the whole image after score thresholding and nms
    # (they are not separated by class)
    # cls_boxes boxes and scores are separated by class and in the format used
    # for evaluating results
    timers['misc_bbox'].tic()
    scores, boxes, cls_boxes = box_results_with_nms_and_limit(scores, boxes)
    timers['misc_bbox'].toc()

    if cfg.MODEL.MASK_ON and boxes.shape[0] > 0:
        timers['im_detect_mask'].tic()
        if cfg.TEST.MASK_AUG.ENABLED:
            masks = im_detect_mask_aug(model, im, boxes)
        else:
            masks = im_detect_mask(model, im_scale, boxes)
        timers['im_detect_mask'].toc()

        timers['misc_mask'].tic()
        cls_segms = segm_results(
            cls_boxes, masks, boxes, im.shape[0], im.shape[1]
        )
        timers['misc_mask'].toc()
    else:
        cls_segms = None

    if cfg.MODEL.KEYPOINTS_ON and boxes.shape[0] > 0:
        timers['im_detect_keypoints'].tic()
        if cfg.TEST.KPS_AUG.ENABLED:
            heatmaps = im_detect_keypoints_aug(model, im, boxes)
        else:
            heatmaps = im_detect_keypoints(model, im_scale, boxes)
        timers['im_detect_keypoints'].toc()

        timers['misc_keypoints'].tic()
        cls_keyps = keypoint_results(cls_boxes, heatmaps, boxes)
        timers['misc_keypoints'].toc()
    else:
        cls_keyps = None

    return cls_boxes, cls_segms, cls_keyps