71 lines
3.5 KiB
C++
71 lines
3.5 KiB
C++
#ifdef VP_WITH_TRT
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#include "vp_trt_vehicle_plate_detector.h"
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namespace vp_nodes {
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vp_trt_vehicle_plate_detector::vp_trt_vehicle_plate_detector(std::string node_name,
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std::string plate_det_model_path,
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std::string char_rec_model_path):
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vp_secondary_infer_node(node_name, "") {
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plate_detector = std::make_shared<trt_vehicle::VehiclePlateDetector>(plate_det_model_path, char_rec_model_path);
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this->initialized();
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}
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vp_trt_vehicle_plate_detector::~vp_trt_vehicle_plate_detector() {
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deinitialized();
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}
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void vp_trt_vehicle_plate_detector::postprocess(const std::vector<cv::Mat>& raw_outputs, const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
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}
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// please refer to vp_infer_node::run_infer_combinations
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void vp_trt_vehicle_plate_detector::run_infer_combinations(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
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assert(frame_meta_with_batch.size() == 1);
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std::vector<cv::Mat> mats_to_infer;
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// start
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auto start_time = std::chrono::system_clock::now();
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// prepare data, as same as base class
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vp_secondary_infer_node::prepare(frame_meta_with_batch, mats_to_infer);
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auto prepare_time = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now() - start_time);
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start_time = std::chrono::system_clock::now();
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// here we detect vehicle plate for all target(like car/bus) in frame
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std::vector<std::vector<trt_vehicle::Plate>> plates;
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plate_detector->detect(mats_to_infer, plates, true); // detect at most 1 plate for each image
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auto& frame_meta = frame_meta_with_batch[0];
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for (int i = 0; i < plates.size(); i++) {
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for (int j = 0; j < plates[i].size(); j++) {
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auto& plate = plates[i][j];
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// only plate detection but no recognition result
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if (plate.text.empty()) {
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continue;
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}
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// check value range
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auto x = std::max(0, plate.x + frame_meta->targets[i]->x - 10); // offset
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auto y = std::max(0, plate.y + frame_meta->targets[i]->y - 8); // offset
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auto w = std::min(plate.width, frame_meta->frame.cols - x);
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auto h = std::min(plate.height, frame_meta->frame.rows - y);
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if (w <= 0 || h <=0) {
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continue;
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}
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// create sub target and update back into frame meta
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// we treat vehicle plate as sub target of those in vp_frame_meta.targets
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auto sub_target = std::make_shared<vp_objects::vp_sub_target>(x, y, w, h,
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-1, 0, plate.color + "_" + plate.text, frame_meta->frame_index, frame_meta->channel_index);
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frame_meta->targets[i]->sub_targets.push_back(sub_target);
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}
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}
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auto infer_time = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now() - start_time);
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// can not calculate preprocess time and postprocess time, set 0 by default.
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vp_infer_node::infer_combinations_time_cost(mats_to_infer.size(), prepare_time.count(), 0, infer_time.count(), 0);
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}
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}
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#endif |