Anton Chetverikov
6b54e738d7
* Allign attribute values in spec * Fix wrong attribute name in spec * Add `get_boolean_attr` function * Add get_type function * Update conv attrs * Update copyright year * Add missed attrs, update copyright year * Fix year in copyright * Update ir parser for RegionYolo layer * Remove wrong changes for BinaryConvolution * Remove get_type function as it no more needed * Update check for reduce ops * Fix error in reduce attrs * Update ir_engine to work with bool attrs * Update DetectionOutput operation * Update PSROIPooling * remove redundant attrs from spec * Update get_boolean_attr function * Update Reduce operations * Update DetectionOutput specification * Update specification for missed attrs * Apply comments * Fixconst renumbering logic * Fix typo * Change default value to fix broken shape inference * Add additional asserts * Add comment * model-optimizer/mo/utils/ir_reader/layer_to_class.py * Sort imports * Sort imports * Update year in copyright * Update const * Remove changes from const restoring * Rename function * remove unnecessary changes * model-optimizer/mo/front/extractor_test.py * Fix year in copyright * Add soft_get * Fix exclude-pad attribute name for AvgPool operation * Update exclude_pad attribute values * Remove useless comment * Update examples in specification * Remove file added by mistake * Resolve comments * Resolve comments * Add return value * Allign global_pool attribute
83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
"""
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Copyright (C) 2018-2021 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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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.extractor import attr_getter, bool_to_str
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class ProposalOp(Op):
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op = 'Proposal'
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': __class__.op,
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'op': __class__.op,
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'version': 'opset4',
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'post_nms_topn': 300, # default in caffe-shared
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'infer': ProposalOp.proposal_infer,
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'in_ports_count': 3,
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'out_ports_count': 2,
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'normalize': False,
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'clip_before_nms': True,
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'clip_after_nms': False,
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}
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super().__init__(graph, mandatory_props, attrs)
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def supported_attrs(self):
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return [
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'feat_stride',
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'base_size',
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'min_size',
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'ratio',
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'scale',
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'pre_nms_topn',
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'post_nms_topn',
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'nms_thresh',
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]
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def backend_attrs(self):
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return [
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'feat_stride',
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'base_size',
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'min_size',
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('ratio', lambda node: attr_getter(node, 'ratio')),
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('scale', lambda node: attr_getter(node, 'scale')),
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'pre_nms_topn',
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'post_nms_topn',
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'nms_thresh',
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'framework',
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'box_coordinate_scale',
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'box_size_scale',
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('normalize', lambda node: bool_to_str(node, 'normalize')),
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('clip_after_nms', lambda node: bool_to_str(node, 'clip_after_nms')),
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('clip_before_nms', lambda node: bool_to_str(node, 'clip_before_nms')),
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]
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@staticmethod
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def proposal_infer(node: Node):
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input_shape = node.in_node(0).shape
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out_shape = int64_array([input_shape[0] * node.post_nms_topn, 5])
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# rois blob: holds R regions of interest, each is a 5 - tuple
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# (n, x1, y1, x2, y2) specifying an image batch index n and a
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# rectangle(x1, y1, x2, y2)
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node.out_port(0).data.set_shape(out_shape)
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# the second optional output contains box probabilities
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if len(node.out_ports()) == 2 and not node.out_port(1).disconnected():
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node.out_port(1).data.set_shape(int64_array([input_shape[0] * node.post_nms_topn]))
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