修复人脸识别问题,测试模型问题，添加了调试,测试landlandmarks

plugins/ai_face_det/ai_face_det_node.cpp

@@ -12,6 +12,9 @@
 #include <string>
 #include <vector>
 
+// For test image loading (implementation in ai_face_recog_node.cpp)
+#include "../../third_party/rknpu2/examples/3rdparty/stb/stb_image.h"
+
 #include "ai_scheduler.h"
 #include "face/face_result.h"
 #include "node.h"
@@ -475,6 +478,56 @@ public:
         const int max_faces = cfg ? cfg->max_faces : 0;
         LogInfo("[ai_face_det] start id=" + id_ + " conf=" + std::to_string(conf) +
                 " nms=" + std::to_string(nms) + " max_faces=" + std::to_string(max_faces));
+
+        // ========== TEST: Load 003.jpg and run detection ==========
+#if defined(RK3588_ENABLE_RKNN)
+        {
+            const char* test_img_path = "./003.jpg";
+            int img_w = 0, img_h = 0, img_c = 0;
+            unsigned char* img_data = stbi_load(test_img_path, &img_w, &img_h, &img_c, 3);
+            if (img_data && img_w > 0 && img_h > 0) {
+                std::cerr << "[TEST] Loaded " << test_img_path << " (" << img_w << "x" << img_h << ")\n";
+
+                // Create a fake frame
+                auto frame = std::make_shared<Frame>();
+                frame->width = img_w;
+                frame->height = img_h;
+                frame->format = PixelFormat::RGB;
+                frame->data = img_data;
+                frame->data_size = static_cast<size_t>(img_w) * static_cast<size_t>(img_h) * 3;
+                frame->stride = img_w * 3;
+
+                // Run detection
+                Run(frame);
+
+                // Print results
+                if (frame->face_det && !frame->face_det->faces.empty()) {
+                    std::cerr << "[TEST] Detected " << frame->face_det->faces.size() << " face(s)\n";
+                    for (size_t fi = 0; fi < frame->face_det->faces.size(); ++fi) {
+                        const auto& face = frame->face_det->faces[fi];
+                        std::cerr << "[TEST] Face " << fi << " bbox: ["
+                                  << face.bbox.x << "," << face.bbox.y << ","
+                                  << face.bbox.w << "," << face.bbox.h << "] score=" << face.score << "\n";
+                        if (face.has_landmarks) {
+                            std::cerr << "[TEST] Board landmarks: ";
+                            for (int li = 0; li < 5; ++li) {
+                                std::cerr << "[" << face.landmarks[li].x << "," << face.landmarks[li].y << "] ";
+                            }
+                            std::cerr << "\n";
+                        }
+                    }
+                } else {
+                    std::cerr << "[TEST] No faces detected\n";
+                }
+
+                stbi_image_free(img_data);
+            } else {
+                std::cerr << "[TEST] Skip: " << test_img_path << " not found\n";
+            }
+        }
+#endif
+        // ========== END TEST ==========
+
         return true;
     }
 

plugins/ai_face_recog/ai_face_recog_node.cpp

@@ -16,6 +16,7 @@
 // For test image loading
 #define STB_IMAGE_IMPLEMENTATION
 #define STBI_ONLY_PNG
+#define STBI_ONLY_JPEG
 #define STBI_NO_FAILURE_STRINGS
 #include "../../third_party/rknpu2/examples/3rdparty/stb/stb_image.h"
 
@@ -894,6 +895,17 @@ private:
         for (int i = 0; i < limit; ++i) {
             const FaceDetItem& face = frame->face_det->faces[static_cast<size_t>(i)];
 
+            // DEBUG: 打印检测到的 landmarks (只打印一次)
+            static bool landmarks_printed = false;
+            if (face.has_landmarks && !landmarks_printed) {
+                std::cerr << "[DEBUG] Board landmarks: ";
+                for (int li = 0; li < 5; ++li) {
+                    std::cerr << "[" << face.landmarks[li].x << "," << face.landmarks[li].y << "] ";
+                }
+                std::cerr << "\n";
+                landmarks_printed = true;
+            }
+
             face_buf_.resize(static_cast<size_t>(model_w_) * static_cast<size_t>(model_h_) * 3);
             if (cfg->align && face.has_landmarks && model_w_ == 112 && model_h_ == 112) {
                 const std::array<Point2f, 5> dst = {