34 lines
1.4 KiB
C++
34 lines
1.4 KiB
C++
|
||
#include "vp_lane_detector_node.h"
|
||
|
||
namespace vp_nodes {
|
||
|
||
vp_lane_detector_node::vp_lane_detector_node(std::string node_name,
|
||
std::string model_path,
|
||
std::string model_config_path,
|
||
std::string labels_path,
|
||
int input_width,
|
||
int input_height,
|
||
int batch_size,
|
||
int class_id_offset,
|
||
float scale,
|
||
cv::Scalar mean,
|
||
cv::Scalar std,
|
||
bool swap_rb,
|
||
bool swap_chn):
|
||
vp_primary_infer_node(node_name, model_path, model_config_path, labels_path, input_width, input_height, batch_size, class_id_offset, scale, mean, std, swap_rb, swap_chn) {
|
||
this->initialized();
|
||
}
|
||
|
||
vp_lane_detector_node::~vp_lane_detector_node() {
|
||
deinitialized();
|
||
}
|
||
|
||
void vp_lane_detector_node::postprocess(const std::vector<cv::Mat>& raw_outputs, const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
|
||
auto& frame_meta = frame_meta_with_batch[0];
|
||
auto& mask = raw_outputs[0];
|
||
|
||
// save output as mask directly, this is the mask for the whole frame.
|
||
frame_meta->mask = mask.clone();
|
||
}
|
||
} |