49 lines
2.0 KiB
C++
49 lines
2.0 KiB
C++
// Copyright 2020 The MediaPipe Authors.
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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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#include "mediapipe/modules/objectron/calculators/tensor_util.h"
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#include "mediapipe/framework/port/logging.h"
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namespace mediapipe {
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cv::Mat ConvertTfliteTensorToCvMat(const TfLiteTensor& tensor) {
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// Check tensor is BxCxWxH (size = 4) and the batch size is one(data[0] = 1)
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CHECK(tensor.dims->size == 4 && tensor.dims->data[0] == 1);
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CHECK_EQ(kTfLiteFloat32, tensor.type) << "tflite_tensor type is not float";
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const size_t num_output_channels = tensor.dims->data[3];
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const int dims = 2;
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const int sizes[] = {tensor.dims->data[1], tensor.dims->data[2]};
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const int type = CV_MAKETYPE(CV_32F, num_output_channels);
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return cv::Mat(dims, sizes, type, reinterpret_cast<void*>(tensor.data.f));
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}
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cv::Mat ConvertTensorToCvMat(const mediapipe::Tensor& tensor) {
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// Check tensor is BxCxWxH (size = 4) and the batch size is one(data[0] = 1)
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CHECK(tensor.shape().dims.size() == 4 && tensor.shape().dims[0] == 1);
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CHECK_EQ(mediapipe::Tensor::ElementType::kFloat32 == tensor.element_type(),
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true)
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<< "tensor type is not float";
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const size_t num_output_channels = tensor.shape().dims[3];
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const int dims = 2;
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const int sizes[] = {tensor.shape().dims[1], tensor.shape().dims[2]};
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const int type = CV_MAKETYPE(CV_32F, num_output_channels);
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auto cpu_view = tensor.GetCpuReadView();
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return cv::Mat(dims, sizes, type, const_cast<void*>(cpu_view.buffer<void>()));
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}
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} // namespace mediapipe
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