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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
// 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"
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
#include "opencv_utils.h"
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
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