71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
"""
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Copyright (c) 2018 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 networkx as nx
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from mo.front.common.partial_infer.multi_box_detection import multi_box_detection_infer
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from mo.ops.op import Op
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class DetectionOutput(Op):
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op = 'DetectionOutput'
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enabled = True
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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super().__init__(graph, {
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'type': __class__.op,
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'op': __class__.op,
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'infer': multi_box_detection_infer,
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'share_location': 1,
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'variance_encoded_in_target': 0
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}, attrs)
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def supported_attrs(self):
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return [
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'background_label_id',
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'clip',
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'code_type',
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'confidence_threshold',
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'eta',
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'height',
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'height_scale',
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'input_height',
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'input_width',
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'interp_mode',
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'keep_top_k',
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'label_map_file',
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'name_size_file',
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'nms_threshold',
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'normalized',
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'num_classes',
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'num_test_image',
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'output_directory',
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'output_format',
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'output_name_prefix',
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'pad_mode',
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'pad_value',
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'prob',
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'resize_mode',
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'save_file',
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'share_location',
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'top_k',
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'variance_encoded_in_target',
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'visualize',
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'visualize_threshold',
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'width',
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'width_scale',
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]
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