use 'ndk-build' in jni folder got these following errors: [armeabi-v7a] SharedLibrary : libncnn.so /home/zym/AndroidStudioProjects/ncnn1/app/src/main/jni/ncnn_jni.cpp:29: error: undefined reference to 'ncnn::Net::load_param(unsigned char...
You shall call Net::load_param() first, then Net::load_model(). This error may also happens when Net::load_param() failed, but not properly handled. For more information about the ncnn model load api, see ncnn-load-model memory not 32-bit aligned at XYZ ...
ncnn::Net net; // param_buffer is the content buffe of XYZ.param file net.load_param_mem(param_buffer); fp16を無効にするモデルによってはfp16がオーバーフローし、nanの結果になることがあります。 そこで、fp16の低精度最適化をオフにしてみると、精度がfp32に改善され、これに起因...
double t_load_start = ncnn::get_current_time(); #endif int ret = init_yolov4(&yolov4, &target_size); //We load model and param first! if (ret != 0) { fprintf(stderr, "Failed to load model or param, error %d", ret); return -1; } #ifdef NCNN_PROFILING double t_load_en...
ParamDict pd; pd.set(0, c); pd.set(1, 1); op->load_param(pd); Mat weights[2]; weights[0] = Mat(c); weights[1] = Mat(c); for (int q = 0; q < c; q++) { weights[0][q] = norm_vals[q]; weights[1][q] = -mean_vals[q] * norm_vals[q]; ...
if(ret !=0) {fprintf(stderr,"Failed to load model or param, error %d", ret);return-1; } cv::VideoCapture capture; capture.open(0);//修改这个参数可以选择打开想要用的摄像头//cv::Mat frame;while(true) { capture >> frame; cv::Mat m = frame;doublestart = GetTickCount();std::...
int ret=init_yolov4(&yolov4,&target_size);//We load model and param first!if(ret!=0){fprintf(stderr,"Failed to load model or param, error %d",ret);return-1;}#ifdefNCNN_PROFILINGdouble t_load_end=ncnn::get_current_time();fprintf(stdout,"NCNN Init time %.02lfms\n",t_load_...
if (ret != 0) { fprintf(stderr, "Failed to load model or param, error %d", ret); return -1; } cv::VideoCapture capture; capture.open(0); //修改这个参数可以选择打开想要用的摄像头 //cv::Mat frame; while (true) { capture >> frame; cv::Mat m = frame; double start = ...
并且下载好mnet.25-opt.param和mnet.25-opt.bin文件到 ncnn当前目录下，然后执行一下命令：./...
net.load_param("/home/firefly/models/alexnet/alexnet.param"); } 1. 2. 3. 4. 主函数的376行,需要去掉注释: benchmark("alexnet", alexnet_init, alexnet_run); //去掉该处注释,上下其他的不需要的网络都注释掉 1. 修改完毕就可以保存benchncnn.cpp文件了。