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d894a6362f
Summary: reported in Github Issue https://github.com/caffe2/caffe2/issues/1269 Reviewed By: salexspb Differential Revision: D6004461 fbshipit-source-id: 03f4bccfe085010b30109ab7b6fe7325caa160ef
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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## @package tools
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# Module caffe2.python.helpers.tools
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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def image_input(
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model, blob_in, blob_out, order="NCHW", use_gpu_transform=False, **kwargs
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):
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assert 'is_test' in kwargs, "Argument 'is_test' is required"
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if order == "NCHW":
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if (use_gpu_transform):
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kwargs['use_gpu_transform'] = 1 if use_gpu_transform else 0
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# GPU transform will handle NHWC -> NCHW
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outputs = model.net.ImageInput(blob_in, blob_out, **kwargs)
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pass
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else:
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outputs = model.net.ImageInput(
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blob_in, [blob_out[0] + '_nhwc'] + blob_out[1:], **kwargs
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)
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outputs_list = list(outputs)
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outputs_list[0] = model.net.NHWC2NCHW(outputs_list[0], blob_out[0])
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outputs = tuple(outputs_list)
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else:
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outputs = model.net.ImageInput(blob_in, blob_out, **kwargs)
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return outputs
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def video_input(model, blob_in, blob_out, **kwargs):
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data, label = model.net.VideoInput(blob_in, blob_out, **kwargs)
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return data, label
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