error log | 日志或报错信息 | ログ

输出的结果（1）：
ex.extract("46", out);
print(out) 的结果：inf
输出的结果（2）：
ncnn::Extractor ex = Net.create_extractor();
ex.input("in0", in);
ncnn::Mat out;
ex.extract("out0", out);
print（out）的结果：
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan
-nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan -nan

context | 编译/运行环境 | バックグラウンド

ncnn: commit 51ecc33
运行环境：
ubuntu16.04(Intel® Core™ i5-8250U CPU)

how to reproduce | 复现步骤 | 再現方法

1. https://github.com/sirius-ai/LPRNet_Pytorch/blob/master/weights/Final_LPRNet_model.pth
   2.用pnnx转换成ncnn模型;
   3.执行以下程序
   cv::Mat image = cv::imread("/home/new/Desktop/lprnet/data/test1/京PL3N67.jpg");
   ncnn::Net Net;
   Net.opt.use_vulkan_compute = false;
   int ret = Net.load_param("/home/new/Desktop/lprnet/lprnet.ncnn.param");
   ret = Net.load_model("/home/new/Desktop/lprnet/lprnet.ncnn.bin");
   int inference_height = 24;
   int inference_width = 94;
   ncnn::Mat in = ncnn::Mat::from_pixels_resize(image.data, ncnn::Mat::PIXEL_BGR2RGB, image.cols, image.rows, inference_width,
   inference_height);

const float mean_vals[3] = {127.5, 127.5, 127.5};
const float norm_vals[3] = {0.0078125f,0.0078125f, 0.0078125f};

in.substract_mean_normalize(mean_vals, norm_vals);
ncnn::Extractor ex = Net.create_extractor();
ex.input("in0", in);
ncnn::Mat out;
ex.extract("out0", out);

more | 其他 | その他

测试文件： https://github.com/sirius-ai/LPRNet_Pytorch/tree/master/data/test
已经把模型发送到您的126邮箱里面（刚开始发的QQ邮箱，可能没有收到）