lvhan028 36124f6205
Merge sdk (#251)
* 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>
2021-12-07 10:57:55 +08:00

81 lines
2.8 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include <numeric>
#include "archive/value_archive.h"
#include "core/module.h"
#include "core/registry.h"
#include "core/utils/formatter.h"
#include "core/value.h"
#include "experimental/module_adapter.h"
#include "preprocess/cpu/opencv_utils.h"
namespace mmdeploy {
// warp rotated rect
class WarpBoxes {
public:
Result<Value> operator()(const Value& img, const Value& det) {
Value patches = ValueType::kArray;
if (det.is_object() && det.contains("boxes")) {
auto boxes = from_value<std::vector<std::vector<cv::Point>>>(det["boxes"]);
auto ori_img = mmdeploy::cpu::Mat2CVMat(img["ori_img"].get<mmdeploy::Mat>()).clone();
for (int i = 0; i < boxes.size(); ++i) {
auto patch = warp(ori_img, boxes[i]);
patches.push_back(make_pointer({{"ori_img", cpu::CVMat2Mat(patch, PixelFormat::kBGR)}}));
// cv::imwrite(std::to_string(i) + ".png", patch);
}
} else { // whole image as a bbox
patches.push_back({{"ori_img", img["ori_img"].get<mmdeploy::Mat>()}});
}
return patches;
}
// assuming rect
static cv::Mat warp(const cv::Mat& img, const std::vector<cv::Point>& _pts) {
auto pts = sort_vertex(_pts);
std::vector<cv::Point2f> src(begin(pts), end(pts));
auto e0 = norm(pts[0] - pts[1]);
auto e1 = norm(pts[1] - pts[2]);
auto w = static_cast<float>(std::max(e0, e1));
auto h = static_cast<float>(std::min(e0, e1));
std::vector<cv::Point2f> dst{{0, 0}, {w, 0}, {w, h}, {0, h}};
auto m = getAffineTransform(src.data(), dst.data());
cv::Mat warped;
warpAffine(img, warped, m, {static_cast<int>(w), static_cast<int>(h)});
return warped;
}
static std::vector<cv::Point> sort_vertex(std::vector<cv::Point> ps) {
auto pivot = *min_element(begin(ps), end(ps), [](auto r, auto p) {
return (r.y != p.y) ? (r.y < p.y) : (r.x < p.x);
});
// TODO: resolve tie with distance
sort(begin(ps), end(ps), [&](auto a, auto b) {
if (a == pivot) return b != pivot;
return (a - pivot).cross(b - pivot) > 0;
});
auto tl = accumulate(begin(ps) + 1, end(ps), ps[0], [](auto r, auto p) {
return cv::Point{std::min(r.x, p.x), std::min(r.y, p.y)};
});
auto cmp = [&](auto r, auto p) {
cv::Point2f u{r - tl}, v{p - tl};
return u.dot(u) < v.dot(v);
};
auto tl_idx = min_element(begin(ps), end(ps), cmp) - begin(ps);
rotate(begin(ps), begin(ps) + tl_idx, end(ps));
return ps;
}
};
class WarpBoxesCreator : public Creator<Module> {
public:
const char* GetName() const override { return "WarpBoxes"; }
int GetVersion() const override { return 0; }
std::unique_ptr<Module> Create(const Value& value) override { return CreateTask(WarpBoxes{}); }
};
REGISTER_MODULE(Module, WarpBoxesCreator);
} // namespace mmdeploy