mirror of
https://github.com/open-mmlab/mmdeploy.git
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* hold async data and wait only at the end of the pipeline * fix use-after-free bugs * fix wording * bypass trivial cases for Pad to avoid ppl.cv's bug * fix pad * fix lint * cleanup * fix DefaultFormatBundle * fix all cpu preprocess impl * suppress log * fix dynamic library build & add comments for SyncOnScopeExit
49 lines
1.4 KiB
C++
49 lines
1.4 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "core/utils/device_utils.h"
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#include "opencv_utils.h"
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#include "preprocess/transform/image2tensor.h"
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namespace mmdeploy {
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namespace cpu {
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class ImageToTensorImpl : public ::mmdeploy::ImageToTensorImpl {
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public:
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explicit ImageToTensorImpl(const Value& args) : ::mmdeploy::ImageToTensorImpl(args) {}
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protected:
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Result<Tensor> HWC2CHW(const Tensor& tensor) override {
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OUTCOME_TRY(auto src_tensor, MakeAvailableOnDevice(tensor, device_, stream_));
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SyncOnScopeExit(stream_, src_tensor.buffer() != tensor.buffer(), src_tensor);
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auto shape = src_tensor.shape();
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int height = shape[1];
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int width = shape[2];
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int channels = shape[3];
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auto dst_mat = Transpose(Tensor2CVMat(src_tensor));
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auto dst_tensor = CVMat2Tensor(dst_mat);
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dst_tensor.Reshape({1, channels, height, width});
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return dst_tensor;
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}
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};
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class ImageToTensorImplCreator : public Creator<::mmdeploy::ImageToTensorImpl> {
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public:
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const char* GetName() const override { return "cpu"; }
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int GetVersion() const override { return 1; }
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ReturnType Create(const Value& args) override {
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return std::make_unique<ImageToTensorImpl>(args);
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}
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};
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} // namespace cpu
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} // namespace mmdeploy
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using mmdeploy::ImageToTensorImpl;
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using mmdeploy::cpu::ImageToTensorImplCreator;
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REGISTER_MODULE(ImageToTensorImpl, ImageToTensorImplCreator);
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