修复人脸检测，o4.5 2

plugins/ai_face_det/ai_face_det_node.cpp

@@ -600,6 +600,16 @@ private:
 
         DecodeRetinaFace(tensors, src_w, src_h, in_w, in_h, det);
         frame->face_det = std::make_shared<FaceDetResult>(std::move(det));
+
+        // Debug: log detection count
+        static uint64_t dbg_frame_cnt = 0;
+        ++dbg_frame_cnt;
+        if (dbg_frame_cnt <= 10 || (dbg_frame_cnt % 100) == 0) {
+            LogInfo("[ai_face_det] frame=" + std::to_string(dbg_frame_cnt) +
+                    " detected=" + std::to_string(frame->face_det->faces.size()) +
+                    " src=" + std::to_string(src_w) + "x" + std::to_string(src_h) +
+                    " in=" + std::to_string(in_w) + "x" + std::to_string(in_h));
+        }
     }
 
     void DecodeRetinaFace(const std::vector<Tensor>& outs,
@@ -658,6 +668,17 @@ private:
         const int n = loc.n;
 
         const std::vector<Prior> priors = GenerateRetinaFacePriors(in_w, in_h, steps_, min_sizes_);
+
+        // Debug: log tensor info once
+        static bool dbg_tensor_logged = false;
+        if (!dbg_tensor_logged) {
+            dbg_tensor_logged = true;
+            LogInfo("[ai_face_det] decode: loc.n=" + std::to_string(loc.n) +
+                    " conf.n=" + std::to_string(conf.n) +
+                    " priors=" + std::to_string(priors.size()) +
+                    " in=" + std::to_string(in_w) + "x" + std::to_string(in_h));
+        }
+
         if (!priors.empty() && static_cast<int>(priors.size()) != n) {
             // Mismatch: can't reliably decode.
             std::cerr << "[ai_face_det] prior mismatch: priors=" << priors.size() << " n=" << n << "\n";