1 files changed, 107 insertions, 0 deletions
diff --git a/python/openvino/runtime/common/models/src/style_transfer_model.cpp b/python/openvino/runtime/common/models/src/style_transfer_model.cpp
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--- /dev/null
+++ b/python/openvino/runtime/common/models/src/style_transfer_model.cpp
@@ -0,0 +1,107 @@
+/*
+// Copyright (C) 2021-2022 Intel Corporation
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+*/
+
+#include "models/style_transfer_model.h"
+
+#include <stddef.h>
+
+#include <memory>
+#include <stdexcept>
+#include <string>
+#include <vector>
+
+#include <opencv2/core.hpp>
+#include <opencv2/imgproc.hpp>
+#include <openvino/openvino.hpp>
+
+#include <utils/image_utils.h>
+#include <utils/ocv_common.hpp>
+
+#include "models/input_data.h"
+#include "models/internal_model_data.h"
+#include "models/results.h"
+
+StyleTransferModel::StyleTransferModel(const std::string& modelFileName, const std::string& layout)
+    : ImageModel(modelFileName, false, layout) {}
+
+void StyleTransferModel::prepareInputsOutputs(std::shared_ptr<ov::Model>& model) {
+    // --------------------------- Configure input & output ---------------------------------------------
+    // --------------------------- Prepare input --------------------------------------------------
+    if (model->inputs().size() != 1) {
+        throw std::logic_error("Style transfer model wrapper supports topologies with only 1 input");
+    }
+
+    inputsNames.push_back(model->input().get_any_name());
+
+    const ov::Shape& inputShape = model->input().get_shape();
+    ov::Layout inputLayout = getInputLayout(model->input());
+
+    if (inputShape.size() != 4 || inputShape[ov::layout::batch_idx(inputLayout)] != 1 ||
+        inputShape[ov::layout::channels_idx(inputLayout)] != 3) {
+        throw std::logic_error("3-channel 4-dimensional model's input is expected");
+    }
+
+    netInputWidth = inputShape[ov::layout::width_idx(inputLayout)];
+    netInputHeight = inputShape[ov::layout::height_idx(inputLayout)];
+
+    ov::preprocess::PrePostProcessor ppp(model);
+    ppp.input().preprocess().convert_element_type(ov::element::f32);
+    ppp.input().tensor().set_element_type(ov::element::u8).set_layout("NHWC");
+
+    ppp.input().model().set_layout(inputLayout);
+
+    // --------------------------- Prepare output  -----------------------------------------------------
+    const ov::OutputVector& outputs = model->outputs();
+    if (outputs.size() != 1) {
+        throw std::logic_error("Style transfer model wrapper supports topologies with only 1 output");
+    }
+    outputsNames.push_back(model->output().get_any_name());
+
+    const ov::Shape& outputShape = model->output().get_shape();
+    ov::Layout outputLayout{"NCHW"};
+    if (outputShape.size() != 4 || outputShape[ov::layout::batch_idx(outputLayout)] != 1 ||
+        outputShape[ov::layout::channels_idx(outputLayout)] != 3) {
+        throw std::logic_error("3-channel 4-dimensional model's output is expected");
+    }
+
+    ppp.output().tensor().set_element_type(ov::element::f32);
+    model = ppp.build();
+}
+
+std::unique_ptr<ResultBase> StyleTransferModel::postprocess(InferenceResult& infResult) {
+    ImageResult* result = new ImageResult;
+    *static_cast<ResultBase*>(result) = static_cast<ResultBase&>(infResult);
+
+    const auto& inputImgSize = infResult.internalModelData->asRef<InternalImageModelData>();
+    const auto outputData = infResult.getFirstOutputTensor().data<float>();
+
+    const ov::Shape& outputShape = infResult.getFirstOutputTensor().get_shape();
+    size_t outHeight = static_cast<int>(outputShape[2]);
+    size_t outWidth = static_cast<int>(outputShape[3]);
+    size_t numOfPixels = outWidth * outHeight;
+
+    std::vector<cv::Mat> imgPlanes;
+    imgPlanes = std::vector<cv::Mat>{cv::Mat(outHeight, outWidth, CV_32FC1, &(outputData[numOfPixels * 2])),
+                                     cv::Mat(outHeight, outWidth, CV_32FC1, &(outputData[numOfPixels])),
+                                     cv::Mat(outHeight, outWidth, CV_32FC1, &(outputData[0]))};
+    cv::Mat resultImg;
+    cv::merge(imgPlanes, resultImg);
+    cv::resize(resultImg, result->resultImage, cv::Size(inputImgSize.inputImgWidth, inputImgSize.inputImgHeight));
+
+    result->resultImage.convertTo(result->resultImage, CV_8UC3);
+
+    return std::unique_ptr<ResultBase>(result);
+}