add README

README.md

@@ -0,0 +1,8 @@
+替換權重：
+    1. 找到 async_infer_advanced_example.cpp 裡的 main ，將 hef 檔案替換成 YOLOv5 和 YOLOv7，如下
+    2. auto infer_model = vdevice->create_infer_model("yolov7_yuv21.hef").expect("Failed to create infer model");
+    3. 到 build 底下重新編譯 .\detection_app.exe
+
+
+目前輸入格式為 (YUV 大小會從 640 * 360 -> 640 * 640)：
+    .\detection_app.exe .\input.yuv output.yuv

async_infer_advanced_example.cpp

@@ -121,7 +121,7 @@ void readYUVThread(const std::string& yuvFile, int width, int height, int numFra
             frameQueue.push(combinedFrame.clone());
             // lock.unlock(); // aviod didn't auto unlock
             cv_var.notify_one();
-            std::cout << "[INFO] Frame pushed to the queue." << std::endl;
+            // std::cout << "[INFO] Frame pushed to the queue." << std::endl;
 
         }
         catch (const std::exception& e) {
@@ -133,7 +133,7 @@ void readYUVThread(const std::string& yuvFile, int width, int height, int numFra
     std::unique_lock<std::mutex> lock(mtx);
     doneReading = true;
     cv_var.notify_one();
-    std::cout << "[INFO] Done reading YUV file." << std::endl;
+    // std::cout << "[INFO] Done reading YUV file." << std::endl;
 }