46 lines
1.4 KiB
Python
46 lines
1.4 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 numpy as np
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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 PredictionHeatmapOp(Op):
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op = 'PredictionHeatmap'
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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': 'extension',
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'in_ports_count': 1,
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'out_ports_count': 1,
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'infer': PredictionHeatmapOp.infer
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}
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super().__init__(graph, mandatory_props, attrs)
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@staticmethod
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def infer(node: Node):
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in_node_shape = node.in_nodes()[0].shape.copy()
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top_shape = np.array([1, 1, 1, 1])
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num_person = in_node_shape[0]
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num_joints = in_node_shape[1]
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top_shape[2] = num_person
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top_shape[3] = 3 * num_joints
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node.out_node().shape = top_shape
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