c7de4ab74e02646714072b581b30e644545ab50d,models/experimental/mask_rcnn/mask_rcnn_model.py,,build_model_graph,#Any#Any#Any#Any#,106

Before Change

          params["test_nms"],
          params["bbox_reg_weights"])

    model_outputs.update({
        "detections": tf.identity(detections, "Detections"),
    })
    if params["output_box_features"]:
      final_box_rois = detections[:, :, 1:5]
      final_roi_features = spatial_transform_ops.multilevel_crop_and_resize(

After Change

    model_outputs.update({
        "image_id": tf.identity(features["source_ids"], "ImageId"),
        "num_valid_boxes": tf.identity(detections[0], "NumValidBoxes"),
        "box_coordinates": tf.identity(detections[1], "BoxCoordinates"),
        "box_classes": tf.identity(detections[2], "BoxClasses"),
        "box_scores": tf.identity(detections[3], "BoxScores"),
    })

    if params["output_box_features"]:

Instances