feat: initial HSAP platform

Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>

algorithms/dms_yolo/code/examples/YOLO11-Triton-CPP/inference.hpp

@@ -0,0 +1,81 @@
+// Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+#pragma once
+
+#include <opencv2/opencv.hpp>
+#include "grpc_client.h"
+
+class Image
+{
+public:
+    Image() = default;
+    static void preprocess(cv::Mat* image, std::vector<uint16_t>& triton_data, int input_w, int input_h);
+};
+
+struct struct_yolo_output
+{
+    std::vector<int> num_dets, det_classes;
+    std::vector<float> det_boxes, det_scores;
+};
+
+struct BoundingBox {
+    float x, y, w, h;
+    float score;
+    int class_id;
+};
+
+struct detection_struct
+{
+    cv::Rect bbox;
+    int class_id;
+    std::string name;
+    double confidence_score;
+};
+
+// C-compatible declarations
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+int getDetectionsFromTritonRawData(
+    std::vector<float>& detection_results,
+    std::vector<struct detection_struct>& tespitler,
+    std::vector<std::string>& object_class_list,
+    float confidence_threshold,
+    int image_width,
+    int image_height
+);
+
+std::vector<BoundingBox> NMS(const std::vector<BoundingBox>& boxes, float iou_threshold);
+float IoU(const BoundingBox& box1, const BoundingBox& box2);
+
+#ifdef __cplusplus
+}
+#endif
+
+namespace tc = triton::client;
+
+class TritonCommunication
+{
+private:
+    std::unique_ptr<tc::InferenceServerGrpcClient> client;
+    std::string triton_url;
+    std::vector<int64_t> shape;
+    tc::InferOptions options;
+    size_t input_byte_size;
+    size_t output_byte_size;
+    std::shared_ptr<tc::InferResult> results_ptr;
+
+public:
+    std::vector<float> output_raw_data;
+
+    TritonCommunication(std::string triton_address,
+                        std::string model_name,
+                        std::string model_version,
+                        int image_channel,
+                        int image_width,
+                        int image_height,
+                        int class_count);
+
+    void infer(uint16_t* triton_data);
+};