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https://github.com/open-mmlab/mmdeploy.git
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* 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>
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 "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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