lzhangzz 640aa03538
Support Windows (#106)
* 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>
2022-02-24 20:08:44 +08:00

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