对于视频流获取方面新加了一个用Mindvision官方说明的获取方式，测试了代码运行是内存占用高达1G

src/MindVisionMain.cpp

@@ -50,18 +50,22 @@ void output_control_data(const cv::Point2f* ballistic_point,
     }
 }
 
-void set_camera_resolution(MindVisionCamera& , int width, int height) {
+void set_camera_resolution(MindVisionCamera& camera, int width, int height) {
     // The resolution is set during camera initialization in MindVision
     // We need to implement a method in MindVisionCamera to change resolution
     // For now, we'll just log the intended change
-    std::cout << "Setting camera resolution to: " << width << "x" << height << std::endl;
+   if (camera.set_resolution(width, height)){
+        std::cout << "Successfully set camera resolution to: " << width << "x" << height << std::endl;
+   } else {
+        std::cerr << "Failed to set camera resolution to: " << width << "x" << height << std::endl;
+   }
 }
 
 int main(int /*argc*/, char* /*argv*/[]) {
     std::string target_color = "red";
     int cam_id = 0;
     cv::Size default_resolution(640, 480);
-    bool use_ttl = true; // Set to false to disable TTL communication
+    bool use_ttl = false; // Set to false to disable TTL communication
 
     // Define optional resolution list (adjust based on camera support)
     std::vector<cv::Size> resolutions = {