From: Inki Dae Date: Fri, 17 Apr 2020 07:43:07 +0000 (+0900) Subject: change enumeration values to new ones X-Git-Tag: submit/tizen/20200423.063253^0 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=4179b53d563e965d1f2b0cdb959806ebbd97b83c;p=platform%2Fcore%2Fmultimedia%2Finference-engine-opencv.git change enumeration values to new ones some enumeration values of inference-engine-interface have been updated so change them. Signed-off-by: Inki Dae --- diff --git a/src/inference_engine_opencv.cpp b/src/inference_engine_opencv.cpp index 3ee3967..9fa81ca 100644 --- a/src/inference_engine_opencv.cpp +++ b/src/inference_engine_opencv.cpp @@ -120,7 +120,7 @@ int InferenceOpenCV::GetInputTensorBuffers(std::vector(0); size_t sizeBuff = mInputData.back().elemSize() * mInputData.back().rows * mInputData.back().cols; LOGI("elemSize: %zd, rows: %d, cols: %d", mInputData.back().elemSize(), mInputData.back().rows, mInputData.back().cols ); - inference_engine_tensor_buffer buffer = { pBuff, TENSOR_DATA_TYPE_FLOAT32, sizeBuff, 1 }; + inference_engine_tensor_buffer buffer = { pBuff, INFERENCE_TENSOR_DATA_TYPE_FLOAT32, sizeBuff, 1 }; buffers.push_back(buffer); } @@ -146,13 +146,13 @@ int InferenceOpenCV::GetOutputTensorBuffers(std::vector(0); size_t sizeBuff = (*iter).total() * (*iter).elemSize(); - inference_engine_tensor_buffer buffer = { pBuff, TENSOR_DATA_TYPE_FLOAT32, sizeBuff, 1}; + inference_engine_tensor_buffer buffer = { pBuff, INFERENCE_TENSOR_DATA_TYPE_FLOAT32, sizeBuff, 1}; buffers.push_back(buffer); } if (buffers.empty()) { LOGI("buff empty"); - inference_engine_tensor_buffer buffer = { nullptr, TENSOR_DATA_TYPE_FLOAT32, 0, 1}; + inference_engine_tensor_buffer buffer = { nullptr, INFERENCE_TENSOR_DATA_TYPE_FLOAT32, 0, 1}; buffers.push_back(buffer); } @@ -210,8 +210,8 @@ int InferenceOpenCV::GetOutputLayerProperty(inference_engine_layer_property &pro lInputShape, lOutputShape); inference_engine_tensor_info tensor_info; - tensor_info.data_type =TENSOR_DATA_TYPE_FLOAT32; - tensor_info.shape_type = TENSOR_SHAPE_NCHW; + tensor_info.data_type =INFERENCE_TENSOR_DATA_TYPE_FLOAT32; + tensor_info.shape_type = INFERENCE_TENSOR_SHAPE_NCHW; // lOutputShape may have multiple tensors // even though the output layer's name is only one LOGI("size of OutputShape: %d", lOutputShape.size());