// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html. // // Copyright (C) 2023 Intel Corporation #include #include #include #include namespace cv { namespace gapi { namespace ot { // Helper functions for OT kernels namespace { void GTrackImplSetup(cv::GArrayDesc, cv::GArrayDesc, float, std::shared_ptr& state, const ObjectTrackerParams& params) { vas::ot::ObjectTracker::Builder ot_builder; ot_builder.max_num_objects = params.max_num_objects; ot_builder.input_image_format = vas::ColorFormat(params.input_image_format); ot_builder.tracking_per_class = params.tracking_per_class; state = ot_builder.Build(vas::ot::TrackingType::ZERO_TERM_IMAGELESS); } void GTrackImplPrepare(const std::vector& in_rects, const std::vector& in_class_labels, float delta, std::vector& detected_objs, vas::ot::ObjectTracker& state) { if (in_rects.size() != in_class_labels.size()) { cv::util::throw_error(std::invalid_argument("Track() implementation run() method: in_rects and in_class_labels " "sizes are different.")); } detected_objs.reserve(in_rects.size()); for (std::size_t i = 0; i < in_rects.size(); ++i) { detected_objs.emplace_back(in_rects[i], in_class_labels[i]); } state.SetFrameDeltaTime(delta); } } // anonymous namespace GAPI_OCV_KERNEL_ST(GTrackFromMatImpl, cv::gapi::ot::GTrackFromMat, vas::ot::ObjectTracker) { static void setup(cv::GMatDesc, cv::GArrayDesc rects_desc, cv::GArrayDesc labels_desc, float delta, std::shared_ptr& state, const cv::GCompileArgs& compile_args) { auto params = cv::gapi::getCompileArg(compile_args) .value_or(ObjectTrackerParams{}); GAPI_Assert(params.input_image_format == 0 && "Only BGR input as cv::GMat is supported for now"); GTrackImplSetup(rects_desc, labels_desc, delta, state, params); } static void run(const cv::Mat& in_mat, const std::vector& in_rects, const std::vector& in_class_labels, float delta, std::vector& out_tr_rects, std::vector& out_rects_classes, std::vector& out_tr_ids, std::vector& out_tr_statuses, vas::ot::ObjectTracker& state) { std::vector detected_objs; GTrackImplPrepare(in_rects, in_class_labels, delta, detected_objs, state); GAPI_Assert(in_mat.type() == CV_8UC3 && "Input mat is not in BGR format"); auto objects = state.Track(in_mat, detected_objs); for (auto&& object : objects) { out_tr_rects.push_back(object.rect); out_rects_classes.push_back(object.class_label); out_tr_ids.push_back(object.tracking_id); out_tr_statuses.push_back(static_cast(object.status)); } } }; GAPI_OCV_KERNEL_ST(GTrackFromFrameImpl, cv::gapi::ot::GTrackFromFrame, vas::ot::ObjectTracker) { static void setup(cv::GFrameDesc, cv::GArrayDesc rects_desc, cv::GArrayDesc labels_desc, float delta, std::shared_ptr& state, const cv::GCompileArgs& compile_args) { auto params = cv::gapi::getCompileArg(compile_args) .value_or(ObjectTrackerParams{}); GAPI_Assert(params.input_image_format == 1 && "Only NV12 input as cv::GFrame is supported for now"); GTrackImplSetup(rects_desc, labels_desc, delta, state, params); } static void run(const cv::MediaFrame& in_frame, const std::vector& in_rects, const std::vector& in_class_labels, float delta, std::vector& out_tr_rects, std::vector& out_rects_classes, std::vector& out_tr_ids, std::vector& out_tr_statuses, vas::ot::ObjectTracker& state) { std::vector detected_objs; GTrackImplPrepare(in_rects, in_class_labels, delta, detected_objs, state); // Extract metadata from MediaFrame and construct cv::Mat atop of it cv::MediaFrame::View view = in_frame.access(cv::MediaFrame::Access::R); auto ptrs = view.ptr; auto strides = view.stride; auto desc = in_frame.desc(); GAPI_Assert((desc.fmt == cv::MediaFormat::NV12 || desc.fmt == cv::MediaFormat::BGR) \ && "Input frame is not in NV12 or BGR format"); cv::Mat in; if (desc.fmt == cv::MediaFormat::NV12) { GAPI_Assert(ptrs[0] != nullptr && "Y plane pointer is empty"); GAPI_Assert(ptrs[1] != nullptr && "UV plane pointer is empty"); if (strides[0] > 0) { in = cv::Mat(desc.size, CV_8UC1, ptrs[0], strides[0]); } else { in = cv::Mat(desc.size, CV_8UC1, ptrs[0]); } } auto objects = state.Track(in, detected_objs); for (auto&& object : objects) { out_tr_rects.push_back(object.rect); out_rects_classes.push_back(object.class_label); out_tr_ids.push_back(object.tracking_id); out_tr_statuses.push_back(static_cast(object.status)); } } }; cv::gapi::GKernelPackage cpu::kernels() { return cv::gapi::kernels < GTrackFromFrameImpl, GTrackFromMatImpl >(); } } // namespace ot } // namespace gapi } // namespace cv