52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import numpy as np
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from extensions.ops.proposal import ProposalOp
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from mo.front.extractor import MXNetCustomFrontExtractorOp
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from mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
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class RPNProposalMXNetFrontExtractor(MXNetCustomFrontExtractorOp):
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op = 'proposal'
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enabled = True
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def extract(self, node):
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attrs = get_mxnet_layer_attrs(node.symbol_dict)
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feat_stride = attrs.int("feat_stride", 16)
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ratio = attrs.tuple("ratios", float, (0.5, 1, 2))
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scale = attrs.tuple("scales", int, (4, 8, 16, 32))
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min_size = attrs.int("rpn_min_size", 16)
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pre_nms_topn = attrs.int("rpn_pre_nms_top_n", 6000)
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post_nms_topn = attrs.int("rpn_post_nms_top_n", 300)
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nms_thresh = attrs.float("threshold", 0.7)
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node_attrs = {
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'feat_stride': feat_stride,
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'base_size': 0,
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'min_size': min_size,
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'ratio': np.array(ratio),
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'scale': np.array(scale),
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'pre_nms_topn': pre_nms_topn,
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'post_nms_topn': post_nms_topn,
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'nms_thresh': nms_thresh,
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'for_deformable': 1,
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}
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ProposalOp.update_node_stat(node, node_attrs)
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return (True, node_attrs)
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