85 lines
2.4 KiB
Python
85 lines
2.4 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 logging as log
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import numpy as np
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from mo.front.extractor import attr_getter
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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 SimplerNMSOp(Op):
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op = 'SimplerNMS'
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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': 'experimental',
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'in_ports_count': 3,
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'out_ports_count': 1,
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'infer': SimplerNMSOp.simplernms_infer
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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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'cls_threshold',
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'max_num_proposals',
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'iou_threshold',
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'min_bbox_size',
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'feat_stride',
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'pre_nms_topn',
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'post_nms_topn',
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'scale'
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]
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def backend_attrs(self):
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return [
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'cls_threshold',
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'max_num_proposals',
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'iou_threshold',
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'min_bbox_size',
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'feat_stride',
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'pre_nms_topn',
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'post_nms_topn',
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('scale', lambda node: attr_getter(node, 'scale'))
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]
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@staticmethod
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def simplernms_infer(node: Node):
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"""
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Sets shape of output node according to specified param of post_nms_topn
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and number of the following params: [is_obj, x, y, w, h]
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Parameters
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----------
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node
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"""
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if node.feat_stride != 16:
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log.error("SimplerNMS layer doesn't support other feat_stride value that 16")
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return
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scale_list = []
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for i in range(0, len(node.scale)):
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scale_list.append(str(node.scale[i]))
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node.scale = scale_list
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node.out_node().shape = np.array([node.post_nms_topn, 5])
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