* Reshape documentation * Converting Model : reshape metrined, Supported Devices: no shape inference mentioning * demos removed
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
# Copyright (C) 2018-2022 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from openvino.runtime import Core, Layout, set_batch
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ov = Core()
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model = ov.read_model("path/to/model")
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#! [picture_snippet]
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model.reshape([8, 3, 448, 448])
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#! [picture_snippet]
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#! [set_batch]
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model.get_parameters()[0].set_layout(Layout("N..."))
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set_batch(model, 5)
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#! [set_batch]
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#! [simple_spatials_change]
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from cv2 import imread
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image = imread("path/to/image")
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model.reshape({1, 3, image.shape[0], image.shape[1]})
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#! [simple_spatials_change]
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#! [obj_to_shape]
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port_to_shape = dict()
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for input_obj in model.inputs:
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shape = input_obj.get_partial_shape()
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# modify shape to fit your needs
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# ...
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port_to_shape[input_obj] = shape
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model.reshape(port_to_shape)
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#! [obj_to_shape]
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#! [idx_to_shape]
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idx_to_shape = dict()
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i = 0
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for input_obj in model.inputs:
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shape = input_obj.get_partial_shape()
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# modify shape to fit your needs
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# ...
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idx_to_shape[i] = shape
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i += 1
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model.reshape(idx_to_shape)
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#! [idx_to_shape]
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#! [name_to_shape]
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name_to_shape = dict()
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for input_obj in model.inputs:
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shape = input_obj.get_partial_shape()
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# input may have no name, in such case use map based on input index or port instead
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if len(input_obj.get_names()) != 0:
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# modify shape to fit your needs
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# ...
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name_to_shape[input_obj.get_any_name()] = shape
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model.reshape(name_to_shape)
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#! [name_to_shape]
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