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@@ -207,8 +207,8 @@ bool Transforms::Run(cv::Mat* im, ImageBlob* data) {
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}
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(*im).convertTo(*im, CV_32FC3);
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if (type_ == "detector") {
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- LockedMemory<void> input2Mapped = as<MemoryBlob>(
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- data->ori_im_size_)->wmap();
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+ InferenceEngine::LockedMemory<void> input2Mapped =
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+ as<InferenceEngine::MemoryBlob>(data->ori_im_size_)->wmap();
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float *p = input2Mapped.as<float*>();
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p[0] = im->rows;
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p[1] = im->cols;
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@@ -229,8 +229,8 @@ bool Transforms::Run(cv::Mat* im, ImageBlob* data) {
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const size_t width = blobSize[3];
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const size_t height = blobSize[2];
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const size_t channels = blobSize[1];
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- MemoryBlob::Ptr mblob = InferenceEngine::as<InferenceEngine::MemoryBlob>(
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- data->blob);
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+ InferenceEngine::MemoryBlob::Ptr mblob =
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+ InferenceEngine::as<InferenceEngine::MemoryBlob>(data->blob);
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auto mblobHolder = mblob->wmap();
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float *blob_data = mblobHolder.as<float *>();
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for (size_t c = 0; c < channels; c++) {
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