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