46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from extensions.ops.data_augmentation import DataAugmentationOp
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from mo.front.caffe.collect_attributes import merge_attrs
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from mo.front.caffe.extractors.utils import embed_input
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from mo.front.extractor import FrontExtractorOp
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class DataAugmentationFrontExtractor(FrontExtractorOp):
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op = 'DataAugmentation'
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enabled = True
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@classmethod
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def extract(cls, node):
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proto_layer = node.pb
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param = proto_layer.augmentation_param
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# slice_dim is deprecated parameter and is used as alias for axis
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# however if slice_dim is defined and axis is default, we use slice_dim
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update_attrs = {
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'crop_width': param.crop_width,
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'crop_height': param.crop_height,
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'write_augmented': param.write_augmented,
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'max_multiplier': param.max_multiplier,
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'augment_during_test': int(param.augment_during_test),
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'recompute_mean': param.recompute_mean,
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'write_mean': param.write_mean,
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'mean_per_pixel': int(param.mean_per_pixel),
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'mean': param.mean,
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'mode': param.mode,
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'bottomwidth': param.bottomwidth,
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'bottomheight': param.bottomheight,
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'num': param.num,
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'chromatic_eigvec': param.chromatic_eigvec
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}
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mapping_rule = merge_attrs(param, update_attrs)
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if node.model_pb:
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for index in range(0, len(node.model_pb.blobs)):
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embed_input(mapping_rule, index + 1, 'custom_{}'.format(index), node.model_pb.blobs[index].data)
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# update the attributes of the node
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DataAugmentationOp.update_node_stat(node, mapping_rule)
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return cls.enabled
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