通过配置设置绘制属性

app/src/main/cpp/PhoneDevice.cpp

@@ -743,7 +743,18 @@ bool CPhoneDevice::OnImageReady(cv::Mat& mat)
     {
         // visualize(ncnnPath.c_str(), in);
         std::vector<Object> objs;
+#ifdef _DEBUG
+        double startTime = ncnn::get_current_time();
+#endif // _DEBUG
+
         bool detected = YoloV5NcnnDetect(mat, true, objs);
+#ifdef _DEBUG
+        double elasped = ncnn::get_current_time() - startTime;
+        // __android_log_print(ANDROID_LOG_DEBUG, "YoloV5Ncnn", "%.2fms   detect", elasped);
+#endif // _DEBUG
+#ifdef _DEBUG
+        ALOGI( "NCNN recognization: %.2fms res=%d", elasped, ((detected && !objs.empty()) ? 1 : 0));
+#endif
         if (detected && !objs.empty())
         {
 #if 0
@@ -759,7 +770,7 @@ bool CPhoneDevice::OnImageReady(cv::Mat& mat)
                     "hair drier", "toothbrush"
             };
 #endif
-            cv::Scalar clr(0, 255, 255);
+            cv::Scalar borderColor(m_pRecognizationCfg->borderColor & 0xFF, (m_pRecognizationCfg->borderColor & 0xFF00) >> 8, (m_pRecognizationCfg->borderColor & 0xFF0000) >> 16);
             for (std::vector<Object>::const_iterator it = objs.cbegin(); it != objs.cend(); ++it)
             {
                 if (it->label >= m_pRecognizationCfg->items.size())
@@ -776,16 +787,10 @@ bool CPhoneDevice::OnImageReady(cv::Mat& mat)
                 ALOGD("Label: %d=%s (%f,%f)-(%f,%f)", it->label, item.name.c_str(), it->x, it->y, it->w, it->h);
 #endif
                 cv::Rect rc(it->x, it->y, it->w, it->h);
-                cv::rectangle(mat, rc, clr, 4);
+                cv::rectangle(mat, rc, borderColor, m_pRecognizationCfg->thickness);
                 // putText
             }
         }
-        else
-        {
-#ifdef _DEBUG
-            ALOGD("Not recognized");
-#endif
-        }
     }
 
     int thickness2 = 8 * ratio;

app/src/main/cpp/ncnn/yolov5ncnn.cpp

@@ -421,8 +421,6 @@ bool YoloV5NcnnDetect( cv::Mat& mat, bool use_gpu, std::vector<Object>& objects)
         //return env->NewStringUTF("no vulkan capable gpu");
     }
 
-    double start_time = ncnn::get_current_time();
-
     // AndroidBitmapInfo info;
     // AndroidBitmap_getInfo(env, bitmap, &info);
     const int width = mat.cols;
@@ -599,9 +597,6 @@ bool YoloV5NcnnDetect( cv::Mat& mat, bool use_gpu, std::vector<Object>& objects)
     }
     */
 
-    double elasped = ncnn::get_current_time() - start_time;
-    // __android_log_print(ANDROID_LOG_DEBUG, "YoloV5Ncnn", "%.2fms   detect", elasped);
-
     return true;
 }