microsoft/onnxruntime-extensions
Publicmirrored fromhttps://github.com/microsoft/onnxruntime-extensionsAvailable
operators/cv2/imdecode.hpp
85lines · modecode
| 1 | // Copyright (c) Microsoft Corporation. All rights reserved. |
| 2 | // Licensed under the MIT License. |
| 3 | |
| 4 | #pragma once |
| 5 | |
| 6 | #include <opencv2/core.hpp> |
| 7 | #include <opencv2/imgproc.hpp> |
| 8 | #include <opencv2/imgcodecs.hpp> |
| 9 | |
| 10 | #include "ocos.h" |
| 11 | #include "string_utils.h" |
| 12 | |
| 13 | #include <cstdint> |
| 14 | |
| 15 | struct KernelImageDecoder : BaseKernel { |
| 16 | KernelImageDecoder(const OrtApi& api) : BaseKernel(api) {} |
| 17 | |
| 18 | void Compute(OrtKernelContext* context) { |
| 19 | // Setup inputs |
| 20 | const OrtValue* const inputs = ort_.KernelContext_GetInput(context, 0ULL); |
| 21 | OrtTensorDimensions dimensions(ort_, inputs); |
| 22 | if (dimensions.size() != 1ULL) { |
| 23 | ORT_CXX_API_THROW("[ImageDecoder]: Only raw image formats are supported.", ORT_INVALID_ARGUMENT); |
| 24 | } |
| 25 | |
| 26 | // Get data & the length |
| 27 | const uint8_t* const encoded_image_data = ort_.GetTensorData<uint8_t>(inputs); |
| 28 | |
| 29 | OrtTensorTypeAndShapeInfo* const input_info = ort_.GetTensorTypeAndShape(inputs); |
| 30 | const int64_t encoded_image_data_len = ort_.GetTensorShapeElementCount(input_info); |
| 31 | ort_.ReleaseTensorTypeAndShapeInfo(input_info); |
| 32 | |
| 33 | // Decode the image |
| 34 | const std::vector<int32_t> encoded_image_sizes{1, static_cast<int32_t>(encoded_image_data_len)}; |
| 35 | const cv::Mat encoded_image(encoded_image_sizes, CV_8UC1, |
| 36 | const_cast<void*>(static_cast<const void*>(encoded_image_data))); |
| 37 | const cv::Mat decoded_image = cv::imdecode(encoded_image, cv::IMREAD_COLOR); |
| 38 | |
| 39 | // Setup output & copy to destination |
| 40 | const cv::Size decoded_image_size = decoded_image.size(); |
| 41 | const int64_t colors = 3; |
| 42 | |
| 43 | const std::vector<int64_t> output_dimensions{decoded_image_size.height, decoded_image_size.width, colors}; |
| 44 | OrtValue *const output_value = ort_.KernelContext_GetOutput( |
| 45 | context, 0, output_dimensions.data(), output_dimensions.size()); |
| 46 | uint8_t* const decoded_image_data = ort_.GetTensorMutableData<uint8_t>(output_value); |
| 47 | memcpy(decoded_image_data, decoded_image.data, decoded_image.total() * decoded_image.elemSize()); |
| 48 | } |
| 49 | }; |
| 50 | |
| 51 | struct CustomOpImageDecoder : Ort::CustomOpBase<CustomOpImageDecoder, KernelImageDecoder> { |
| 52 | void* CreateKernel(const OrtApi& api, const OrtKernelInfo* info) const { |
| 53 | return new KernelImageDecoder(api); |
| 54 | } |
| 55 | |
| 56 | const char* GetName() const { |
| 57 | return "ImageDecoder"; |
| 58 | } |
| 59 | |
| 60 | size_t GetInputTypeCount() const { |
| 61 | return 1; |
| 62 | } |
| 63 | |
| 64 | ONNXTensorElementDataType GetInputType(size_t index) const { |
| 65 | switch (index) { |
| 66 | case 0: |
| 67 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8; |
| 68 | default: |
| 69 | ORT_CXX_API_THROW(MakeString("Unexpected input index ", index), ORT_INVALID_ARGUMENT); |
| 70 | } |
| 71 | } |
| 72 | |
| 73 | size_t GetOutputTypeCount() const { |
| 74 | return 1; |
| 75 | } |
| 76 | |
| 77 | ONNXTensorElementDataType GetOutputType(size_t index) const { |
| 78 | switch (index) { |
| 79 | case 0: |
| 80 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8; |
| 81 | default: |
| 82 | ORT_CXX_API_THROW(MakeString("Unexpected output index ", index), ORT_INVALID_ARGUMENT); |
| 83 | } |
| 84 | } |
| 85 | }; |
| 86 | |