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是否需要提供更加快速的车牌检测LFFD模型?

@xiangweizeng 作者您好,我是LFFD的作者,了解到您的开源项目,我感觉非常好。其中用到了我这边提供的LFFD在车牌检测的模型,这个是当时随手训练的。如果您还需要更快的模型,可以联系我。预计可以将模型再提速一倍,精度保持差不多。

可提供数据支持

我可提供蓝色绿色黄色车牌数据以及相关代码,准确率可达95%+。q:1041357701

基本只能识别安徽蓝牌的问题

您好,感谢你的开源。我这边测试之后发现模型好像基本只能识别安徽蓝牌的车牌,绿牌,黄牌都无法检测到,就更不能进行后续地定位以及识别,并且识别车牌时,会在末尾自动附加 1 这个数字,初步认为是将车牌的的右边框识别进去了。请问如何提高精确度呢?

ncnn 版本

请问 ncnn 版本的基准是哪个?
要跨edge设备移植的话,需要ncnn对应上版本

能否提供原模型

谢谢UP主的工作,lffd、lpc、lprmssd512_voc,这些原模型是否能提供我们测试呢?

工程化问题

我在win10 vs2017搭建工程出现,无法打开cvunitext.lib错误,本工程是不是默认在Linux上x64上运行呢? 不过因为后面想兼容库版本,我这边用的是opencv3.4.0不知道会不会有影响

/usr/bin/ld: bnll.cpp:(.text+0xed): undefined reference to `__logf_finite'

hello, when i use your command to complie,have some issues
when " cmake .. " no errors
when "mkae " have error as follow:
make install
Scanning dependencies of target mlpr
[ 6%] Building CXX object src/CMakeFiles/mlpr.dir/base.cpp.o
[ 13%] Building CXX object src/CMakeFiles/mlpr.dir/lpc_recognizer.cpp.o
[ 20%] Building CXX object src/CMakeFiles/mlpr.dir/lpr_recognizer.cpp.o
[ 26%] Building CXX object src/CMakeFiles/mlpr.dir/detector/mtcnn_align.cpp.o
[ 33%] Building CXX object src/CMakeFiles/mlpr.dir/detector/mtcnn_proposal.cpp.o
[ 40%] Building CXX object src/CMakeFiles/mlpr.dir/detector/mtcnn_base.cpp.o
[ 46%] Building CXX object src/CMakeFiles/mlpr.dir/detector/mtcnn_plate_detector.cpp.o
[ 53%] Building CXX object src/CMakeFiles/mlpr.dir/detector/ssd_plate_detector.cpp.o
[ 60%] Building CXX object src/CMakeFiles/mlpr.dir/detector/lffd.cpp.o
[ 66%] Building CXX object src/CMakeFiles/mlpr.dir/detector/lffd_plate_detector.cpp.o
[ 73%] Building CXX object src/CMakeFiles/mlpr.dir/detector/align_plate_detector.cpp.o
[ 80%] Building CXX object src/CMakeFiles/mlpr.dir/plate_petector.cpp.o
[ 86%] Linking CXX static library libmlpr.a
[ 86%] Built target mlpr
Scanning dependencies of target run_plate
[ 93%] Building CXX object example/CMakeFiles/run_plate.dir/main.cpp.o
[100%] Linking CXX executable run_plate
/usr/bin/ld: /home/ljj/Downloads/mobile-lpr-master/deps/ncnn/lib/libncnn.a(bnll.cpp.o): in function ncnn::BNLL::forward_inplace(ncnn::Mat&, ncnn::Option const&) const [clone ._omp_fn.0]': bnll.cpp:(.text+0xe0): undefined reference to __expf_finite'
/usr/bin/ld: bnll.cpp:(.text+0xed): undefined reference to __logf_finite' /usr/bin/ld: bnll.cpp:(.text+0x101): undefined reference to __expf_finite'
/usr/bin/ld: bnll.cpp:(.text+0x10e): undefined reference to __logf_finite' /usr/bin/ld: /home/ljj/Downloads/mobile-lpr-master/deps/ncnn/lib/libncnn.a(convolution.cpp.o): in function ncnn::Convolution::forward(ncnn::Mat const&, ncnn::Mat&, ncnn::Option const&) const [clone ._omp_fn.2]':
convolution.cpp:(.text+0x434): undefined reference to __expf_finite' /usr/bin/ld: /home/ljj/Downloads/mobile-lpr-master/deps/ncnn/lib/libncnn.a(deconvolution.cpp.o): in function ncnn::Deconvolution::forward(ncnn::Mat const&, ncnn::Mat&, ncnn::Option const&) const [clone ._omp_fn.0]':
deconvolution.cpp:(.text+0x492): undefined reference to `__expf_finite'
how to solve it ??????
i search internet,some says use libm.so ,but not solve.
my platform is : ubuntu 20.04, gcc9.3 .
hope to solve it.

OCR识别置信度

你好!
请问OCR识别在ctc解码时其置信度prob的值能有效反应字符识别的可靠性么?例如我输入一张误检测的车牌也会有强制输出,如何过滤这种误检测造成的误识别情况?谢谢!

可提供数据支持

我可提供蓝色绿色黄色车牌数据以及相关代码,准确率可达95%+。q:1041357701

在GPU上运行

您好,我看这个项目主要是用ncnn模型,请问,在GPU上运行有尝试吗

cmake problem

The following configuration files were considered but not accepted:

/usr/share/OpenCV/OpenCVConfig.cmake, version: 2.4.9.1

"DEFINED" "ANDROID_NDK_MAJOR" "AND" "GREATER" "20"

请问android如下错误,怎么处理啊?
mobile-lpr/example/android-example/app/src/main/cpp/CMakeLists.txt : C/C++ debug|arm64-v8a : CMake Error at mobile-lpr/example/android-example/app/src/main/cpp/CMakeLists.txt:9 (if):
if given arguments:

"DEFINED" "ANDROID_NDK_MAJOR" "AND" "GREATER" "20"

Unknown arguments specified

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