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|
| #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();
| }
| }
|
|
