mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
36124f6205
* check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
56 lines
1.8 KiB
C++
56 lines
1.8 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#include <preprocess/transform/transform_utils.h>
|
|
|
|
#include <opencv2/core.hpp>
|
|
|
|
#include "codebase/mmedit/mmedit.h"
|
|
#include "core/tensor.h"
|
|
|
|
namespace mmdeploy::mmedit {
|
|
|
|
class Restorer : public MMEditPostprocess {
|
|
public:
|
|
explicit Restorer(const Value& cfg) : MMEditPostprocess(cfg) {}
|
|
|
|
Result<Value> operator()(const Value& input) {
|
|
auto upscale = input["upscale"].get<Tensor>();
|
|
OUTCOME_TRY(auto upscale_cpu, MakeAvailableOnDevice(upscale, kHOST, stream()));
|
|
OUTCOME_TRY(stream().Wait());
|
|
if (upscale.data_type() == DataType::kFLOAT) {
|
|
auto channels = static_cast<int>(upscale.shape(1));
|
|
auto height = static_cast<int>(upscale.shape(2));
|
|
auto width = static_cast<int>(upscale.shape(3));
|
|
// TODO: handle BGR <-> RGB conversion
|
|
OUTCOME_TRY(auto format, ChannelsToFormat(channels));
|
|
Mat mat(height, width, format, DataType::kINT8, kHOST);
|
|
cv::Mat_<float> mat_chw(channels, height * width, upscale_cpu.data<float>());
|
|
cv::Mat mat_hwc(height * width, channels, CV_32F);
|
|
cv::transpose(mat_chw, mat_hwc);
|
|
cv::Mat rescale_uint8(height, width, CV_8UC(channels), mat.data<uint8_t>());
|
|
mat_hwc = mat_hwc.reshape(channels, height);
|
|
// convert has saturate_cast inside
|
|
mat_hwc.convertTo(rescale_uint8, CV_8UC(channels), 255.f);
|
|
return mat;
|
|
} else {
|
|
return Status(eNotSupported);
|
|
}
|
|
}
|
|
|
|
protected:
|
|
static Result<PixelFormat> ChannelsToFormat(int channels) {
|
|
switch (channels) {
|
|
case 3:
|
|
return PixelFormat::kRGB;
|
|
default:
|
|
return Status(eNotSupported);
|
|
}
|
|
}
|
|
|
|
static constexpr const Device kHOST{0, 0};
|
|
};
|
|
|
|
REGISTER_CODEBASE_MODULE(MMEditPostprocess, Restorer);
|
|
|
|
} // namespace mmdeploy::mmedit
|