mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
53 lines
1.2 KiB
C++
53 lines
1.2 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#ifndef MMDEPLOY_IMAGE2TENSOR_H
|
|
#define MMDEPLOY_IMAGE2TENSOR_H
|
|
|
|
#include "core/tensor.h"
|
|
#include "transform.h"
|
|
|
|
namespace mmdeploy {
|
|
/**
|
|
* Convert image to `Tensor` by given keys.
|
|
*
|
|
* The dimension order of input image is (1, H, W, C). The pipeline will convert
|
|
* it to (1, C, H, W).
|
|
*
|
|
*/
|
|
class MMDEPLOY_API ImageToTensorImpl : public TransformImpl {
|
|
public:
|
|
ImageToTensorImpl(const Value& args);
|
|
~ImageToTensorImpl() = default;
|
|
|
|
Result<Value> Process(const Value& input) override;
|
|
|
|
protected:
|
|
virtual Result<Tensor> HWC2CHW(const Tensor& tensor) = 0;
|
|
|
|
protected:
|
|
struct to_img_tensor_arg_t {
|
|
std::vector<std::string> keys;
|
|
};
|
|
using ArgType = struct to_img_tensor_arg_t;
|
|
|
|
protected:
|
|
ArgType arg_;
|
|
};
|
|
|
|
class MMDEPLOY_API ImageToTensor : public Transform {
|
|
public:
|
|
explicit ImageToTensor(const Value& args, int version = 0);
|
|
~ImageToTensor() = default;
|
|
|
|
Result<Value> Process(const Value& input) override { return impl_->Process(input); }
|
|
|
|
private:
|
|
std::unique_ptr<ImageToTensorImpl> impl_;
|
|
};
|
|
|
|
MMDEPLOY_DECLARE_REGISTRY(ImageToTensorImpl);
|
|
|
|
} // namespace mmdeploy
|
|
|
|
#endif // MMDEPLOY_IMAGE2TENSOR_H
|