def __init__(self, params):
super(MaskrcnnModel, self).__init__(params)
self._anchor_params = params.anchor
self._include_mask = params.architecture.include_mask
# Architecture generators.
self._backbone_fn = factory.backbone_generator(params)
self._fpn_fn = factory.multilevel_features_generator(params)
self._rpn_head_fn = factory.rpn_head_generator(params.rpn_head)
self._generate_rois_fn = roi_ops.ROIGenerator(params.roi_proposal)
self._sample_rois_fn = sampling_ops.ROISampler(params.roi_sampling)
self._sample_masks_fn = sampling_ops.MaskSampler(params.mask_sampling)
self._frcnn_head_fn = factory.fast_rcnn_head_generator(
params.frcnn_head)
if self._include_mask:
self._mrcnn_head_fn = factory.mask_rcnn_head_generator(
params.mrcnn_head)
# Loss function.
self._rpn_score_loss_fn = losses.RpnScoreLoss(params.rpn_score_loss)
self._rpn_box_loss_fn = losses.RpnBoxLoss(params.rpn_box_loss)
self._frcnn_class_loss_fn = losses.FastrcnnClassLoss()
self._frcnn_box_loss_fn = losses.FastrcnnBoxLoss(params.frcnn_box_loss)
if self._include_mask:
self._mask_loss_fn = losses.MaskrcnnLoss()
self._generate_detections_fn = postprocess_ops.GenericDetectionGenerator(
params.postprocess)
self._transpose_input = params.train.transpose_input
def __init__(self, params):
super(MaskrcnnModel, self).__init__(params)
self._params = params
self._include_mask = params.architecture.include_mask
self._include_attributes = params.architecture.num_attributes is not None
# Architecture generators.
self._backbone_fn = factory.backbone_generator(params)
self._fpn_fn = factory.multilevel_features_generator(params)
self._rpn_head_fn = factory.rpn_head_generator(params)
self._generate_rois_fn = roi_ops.ROIGenerator(params.roi_proposal)
self._sample_rois_fn = sampling_ops.ROISampler(params.roi_sampling)
self._sample_masks_fn = sampling_ops.MaskSampler(
params.architecture.mask_target_size,
params.mask_sampling.num_mask_samples_per_image,
)
self._frcnn_head_fn = factory.fast_rcnn_head_generator(params)
if self._include_mask:
self._mrcnn_head_fn = factory.mask_rcnn_head_generator(params)
if self._include_attributes:
self._attributes_head_fn = factory.attributes_head_generator(
params)
# Loss function.
self._rpn_score_loss_fn = losses.RpnScoreLoss(params.rpn_score_loss)
self._rpn_box_loss_fn = losses.RpnBoxLoss(params.rpn_box_loss)
self._frcnn_class_loss_fn = losses.FastrcnnClassLoss()
self._frcnn_box_loss_fn = losses.FastrcnnBoxLoss(params.frcnn_box_loss)
if self._include_mask:
self._mask_loss_fn = losses.MaskrcnnLoss()
if self._include_attributes:
self._attributes_loss_fn = losses.AttributesLoss(
params.attributes_loss)
self._generate_detections_fn = postprocess_ops.GenericDetectionGenerator(
params.postprocess)