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#include <opencv2/gapi/ot.hpp>
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#include <opencv2/gapi/cpu/ot.hpp>
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#include <opencv2/gapi/cpu/gcpukernel.hpp>
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#include <vas/ot.hpp>
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namespace cv
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{
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namespace gapi
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{
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namespace ot
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{
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namespace {
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void GTrackImplSetup(cv::GArrayDesc, cv::GArrayDesc, float,
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std::shared_ptr<vas::ot::ObjectTracker>& state,
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const ObjectTrackerParams& params) {
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vas::ot::ObjectTracker::Builder ot_builder;
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ot_builder.max_num_objects = params.max_num_objects;
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ot_builder.input_image_format = vas::ColorFormat(params.input_image_format);
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ot_builder.tracking_per_class = params.tracking_per_class;
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state = ot_builder.Build(vas::ot::TrackingType::ZERO_TERM_IMAGELESS);
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}
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void GTrackImplPrepare(const std::vector<cv::Rect>& in_rects,
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const std::vector<int32_t>& in_class_labels,
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float delta,
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std::vector<vas::ot::DetectedObject>& detected_objs,
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vas::ot::ObjectTracker& state)
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{
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if (in_rects.size() != in_class_labels.size())
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{
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cv::util::throw_error(std::invalid_argument("Track() implementation run() method: in_rects and in_class_labels "
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"sizes are different."));
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}
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detected_objs.reserve(in_rects.size());
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for (std::size_t i = 0; i < in_rects.size(); ++i)
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{
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detected_objs.emplace_back(in_rects[i], in_class_labels[i]);
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}
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state.SetFrameDeltaTime(delta);
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}
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}
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GAPI_OCV_KERNEL_ST(GTrackFromMatImpl, cv::gapi::ot::GTrackFromMat, vas::ot::ObjectTracker)
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{
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static void setup(cv::GMatDesc, cv::GArrayDesc rects_desc,
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cv::GArrayDesc labels_desc, float delta,
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std::shared_ptr<vas::ot::ObjectTracker>& state,
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const cv::GCompileArgs& compile_args)
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{
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auto params = cv::gapi::getCompileArg<ObjectTrackerParams>(compile_args)
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.value_or(ObjectTrackerParams{});
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GAPI_Assert(params.input_image_format == 0 && "Only BGR input as cv::GMat is supported for now");
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GTrackImplSetup(rects_desc, labels_desc, delta, state, params);
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}
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static void run(const cv::Mat& in_mat, const std::vector<cv::Rect>& in_rects,
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const std::vector<int32_t>& in_class_labels, float delta,
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std::vector<cv::Rect>& out_tr_rects,
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std::vector<int32_t>& out_rects_classes,
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std::vector<uint64_t>& out_tr_ids,
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std::vector<int>& out_tr_statuses,
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vas::ot::ObjectTracker& state)
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{
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std::vector<vas::ot::DetectedObject> detected_objs;
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GTrackImplPrepare(in_rects, in_class_labels, delta, detected_objs, state);
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GAPI_Assert(in_mat.type() == CV_8UC3 && "Input mat is not in BGR format");
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auto objects = state.Track(in_mat, detected_objs);
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for (auto&& object : objects)
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{
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out_tr_rects.push_back(object.rect);
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out_rects_classes.push_back(object.class_label);
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out_tr_ids.push_back(object.tracking_id);
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out_tr_statuses.push_back(static_cast<int>(object.status));
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}
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}
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};
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GAPI_OCV_KERNEL_ST(GTrackFromFrameImpl, cv::gapi::ot::GTrackFromFrame, vas::ot::ObjectTracker)
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{
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static void setup(cv::GFrameDesc, cv::GArrayDesc rects_desc,
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cv::GArrayDesc labels_desc, float delta,
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std::shared_ptr<vas::ot::ObjectTracker>& state,
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const cv::GCompileArgs& compile_args)
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{
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auto params = cv::gapi::getCompileArg<ObjectTrackerParams>(compile_args)
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.value_or(ObjectTrackerParams{});
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GAPI_Assert(params.input_image_format == 1 && "Only NV12 input as cv::GFrame is supported for now");
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GTrackImplSetup(rects_desc, labels_desc, delta, state, params);
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}
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static void run(const cv::MediaFrame& in_frame, const std::vector<cv::Rect>& in_rects,
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const std::vector<int32_t>& in_class_labels, float delta,
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std::vector<cv::Rect>& out_tr_rects,
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std::vector<int32_t>& out_rects_classes,
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std::vector<uint64_t>& out_tr_ids,
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std::vector<int>& out_tr_statuses,
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vas::ot::ObjectTracker& state)
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{
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std::vector<vas::ot::DetectedObject> detected_objs;
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GTrackImplPrepare(in_rects, in_class_labels, delta, detected_objs, state);
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cv::MediaFrame::View view = in_frame.access(cv::MediaFrame::Access::R);
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auto ptrs = view.ptr;
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auto strides = view.stride;
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auto desc = in_frame.desc();
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GAPI_Assert((desc.fmt == cv::MediaFormat::NV12 || desc.fmt == cv::MediaFormat::BGR) \
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&& "Input frame is not in NV12 or BGR format");
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cv::Mat in;
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if (desc.fmt == cv::MediaFormat::NV12) {
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GAPI_Assert(ptrs[0] != nullptr && "Y plane pointer is empty");
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GAPI_Assert(ptrs[1] != nullptr && "UV plane pointer is empty");
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if (strides[0] > 0) {
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in = cv::Mat(desc.size, CV_8UC1, ptrs[0], strides[0]);
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} else {
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in = cv::Mat(desc.size, CV_8UC1, ptrs[0]);
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}
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}
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auto objects = state.Track(in, detected_objs);
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for (auto&& object : objects)
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{
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out_tr_rects.push_back(object.rect);
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out_rects_classes.push_back(object.class_label);
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out_tr_ids.push_back(object.tracking_id);
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out_tr_statuses.push_back(static_cast<int>(object.status));
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}
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}
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};
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cv::gapi::GKernelPackage cpu::kernels()
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{
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return cv::gapi::kernels
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<
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GTrackFromFrameImpl,
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GTrackFromMatImpl
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>();
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}
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}
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}
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}
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