OpenCL support can be added for license plate detection, binarization, and (in the next version of Tesseract) OCR. This would significantly improve the recognition speed..

I started a page on the wiki

https://github.com/openalpr/openalpr/wiki/Compilation-instructions-(OS-X)

and will note a question on Stack Overflow that didn't get very far

http://stackoverflow.com/questions/27268782/openalpr-compiling-error-on-mac

so I'll log whatever I find that helps here and update the docs as much as I can usefully do.

I have been trying to make this work for the past 4 days now and no progress, the only progress I have made is migrating from the no openalprjni in java.library.path to this one, according to https://groups.google.com/forum/#!topic/openalpr/VE2daHHUoi4 discussion I have to put all my dlls, config file and runtime_data directly in the same folder, I decided before I could do anything to try and point my library path to the original OpenAlpr directory where everything is in place, and it did not work so I put all the mentioned data in my workspace still nothing, I tried adding the dlls to system 32 it did not work, I then tried adding my OpenAplr folder to my system path and still nothing worked, is there some voodoo I need to do to make it work? am very confused. I am currently usinf Version 2.0.1 precompiled binraries.

I'm not sure how easy this would be, but it would be awesome if support for Australian number plates was added to this software.

Part of the reason why I'm not sure how easy this would be comes down to number plates generally varying from state to state. http://en.wikipedia.org/wiki/Vehicle_registration_plates_of_Australia has a pretty good analysis of the differences.

I'm following the instructions here: http://doc.openalpr.com/accuracy_improvements.html#producing-tiles-from-actual-plates

When I run the program with the needed parameters, the "Original" and "Selection dashboard" windows open. P and N both do what they appear to be intended to. However, when I press enter, nothing happens. Nothing also happens, when I try to use the arrow keys to select a rendering, it only says "Did not select and boxes" and does nothing, or, says "You have not tagged any characters" if I've already pressed space. Pressing w does nothing. Pressing space changes the green outline to blue, but nothing else happens. Pressing s results in "You have not tagged any characters" or "Did not select any boxes" based on whether or not I've pressed space.

I'm sure I'm missing something obvious, but I cannot figure it out. Any help?

The c# binding solution under "\src\bindings\csharp" does not build out of the box.

There is a dependency on OpenCV and it needs to be explained to the user.

Here are the first steps I took to be able to build the solution:

1. Build the solution as it is downloaded. You will get the below errors:

Cannot open include file: 'opencv2/imgproc/imgproc.hpp': No such file or directory Cannot open include file: 'opencv2/opencv.hpp': No such file or directory Cannot open include file: 'opencv2/highgui/highgui.hpp': No such file or directory

2. Download OpenCV, extract the files. Copy the folder "build\include\opencv2" and paste it into "openalpr-master\openalpr-master\src\bindings\csharp\openalpr-net"

3. Rebuild the solution. The openalprnet-cli and openalprnet-windemo projects will not be able to locate openalpr-net.dll. Download the binaries from https://github.com/openalpr/openalpr/releases and copy the .dll file to somewhere inside your solution. Delete the old reference from the projects and add the copied file as a reference.

4. Rebuild the solution. You will get the below errors:

'openalprnet.AlprNet' does not contain a definition for 'GetVersion' ... 'openalprnet.AlprNet' does not contain a definition for 'IsLoaded' ... 'openalprnet.AlprNet' does not contain a definition for 'Recognize' ... 'openalprnet.AlprNet' does not contain a definition for 'IsLoaded' 'openalprnet.AlprNet' does not contain a definition for 'Recognize' ...

You will ALSO get the below error.

Error 32 error LNK1104: cannot open file '........\windows\build\dist\2.1.0\v120\Debug\Win32\opencv_videostab248d.lib' ...

Which is where I'm stuck.

The project has a dependency on 'opencv_videostab248d.lib' but I could not find the 2.4.8 version of opencv. The latest version has a opencv_videostab300d.lib file.

I tried to find where the reference is given to replace the dependency on 2.4.8 with 3.0.0 but I could not find the reference location.

Hello Matt,

This is not a complete pull request but rather the basis for a discussion. I have implemented my idea that we discussed a few days ago. I have added a C# method for processing video which raises an event for each frame. I have two requests to you:

1. Can you take a look and tell me if you find it general enough and otherwise appropriate to be included?
2. I haven't tested the event because it's never raised when OpenCV lacks support for FFMPEG. I don't have the time to build OpenCV on my own, and the binaries from your release are not enough - CMake requires the entire structure of an OpenCV set-up. So could you please upload somewhere your OpenCV installation? Of course, if you find the time to test it yourself and decide to merge it, that won't be necessary and I'd only need the new release to download.

Let me know if I can help further in any way.

Dimitar

HI, when i am trying to read a image, i am getting this error

Exception thrown: 'System.DllNotFoundException' in alprnet.dll Could not find/load native library (libopenalprc.dll) Exception thrown: 'System.DllNotFoundException' in alprnet.dll Exception thrown: 'System.DllNotFoundException' in alprnet.dll The thread 0x1a60 has exited with code 0 (0x0). The thread 0x29d0 has exited with code 0 (0x0).

i am trying to find this DLL(libopenalprc.dll) but not luck yet, can you help me please?

I have signed up, grabbed the YUML, loaded into Swagger and generated Swift code. The API is asking for tasks param (String). I have hunted around but am unable find what I need here?

public class func recognizePostWithRequestBuilder(secretKey secretKey: String, tasks: [String], image: NSURL, imageBytes: String?, imageUrl: String?, country: String?, state: String?, returnImage: Int?, topn: Int?, prewarp: String?) -> RequestBuilder<Inline_response_200> {
        let path = "/recognize"
        let URLString = SwaggerClientAPI.basePath + path

        let nillableParameters: [String:AnyObject?] = [
            "secretKey": secretKey,
            "tasks": tasks,
            "imageBytes": imageBytes,
            "imageUrl": imageUrl,
            "country": country,
            "state": state,
            "returnImage": returnImage,
            "topn": topn,
            "prewarp": prewarp
        ]
        let parameters = APIHelper.rejectNil(nillableParameters)

        let requestBuilder: RequestBuilder<Inline_response_200>.Type = SwaggerClientAPI.requestBuilderFactory.getBuilder()

        return requestBuilder.init(method: "POST", URLString: URLString, parameters: parameters, isBody: false)
    }

Hello, I have a problem running openalpr on my web cam (/dev/video1), everytime I turn my camera in front of a license plate the program crash because of a segmentation fault (core dumped)

running openalpr seems to work with sample jpg file but not with my standard webcam over french licence plate

I tried both the python binding and the command line utility, even the docker with docker run --device=/dev/video1 -it --rm -v $(pwd):/data:ro openalpr -c eu /dev/video1 and every time I get the same result (very rare case of success and then crash instantly after the predictions)

I installed OpenAlpr by compiling it (not the dependency): http://doc.openalpr.com/opensource.html#compiling-openalpr and I am running ubuntu 18.04LTS

Standard crash

➜ alpr -c eu /dev/video1 
[1]    25427 segmentation fault (core dumped)  alpr -c eu /dev/video1

valgrind

==25180== Memcheck, a memory error detector
==25180== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al.
==25180== Using Valgrind-3.13.0 and LibVEX; rerun with -h for copyright info
==25180== Command: alpr -c eu /dev/video1
==25180== 
==25180== Conditional jump or move depends on uninitialised value(s)
==25180==    at 0xD923C36: nextOnPixelInRasterLow (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD923E7F: nextOnPixelInRaster (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD925019: pixConnCompBB (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DD91C: ??? (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DDF92: ??? (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DEA42: bmfCreate (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0x67EDE0E: tesseract::Tesseract::Tesseract() (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x6795F55: tesseract::TessBaseAPI::Init(char const*, int, char const*, tesseract::OcrEngineMode, char**, int, GenericVector<STRING> const*, GenericVector<STRING> const*, bool, bool (*)(STRING const&, GenericVector<char>*)) (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x67963A5: tesseract::TessBaseAPI::Init(char const*, char const*, tesseract::OcrEngineMode, char**, int, GenericVector<STRING> const*, GenericVector<STRING> const*, bool) (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x4FAA5BE: tesseract::TessBaseAPI::Init(char const*, char const*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FA95A5: alpr::TesseractOcr::TesseractOcr(alpr::Config*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FAB9D2: alpr::createOcr(alpr::Config*) (in /usr/lib/libopenalpr.so.2)
==25180== 
==25180== Conditional jump or move depends on uninitialised value(s)
==25180==    at 0xD923C6B: nextOnPixelInRasterLow (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD923E7F: nextOnPixelInRaster (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD925019: pixConnCompBB (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DD91C: ??? (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DDF92: ??? (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0xD8DEA42: bmfCreate (in /usr/lib/x86_64-linux-gnu/liblept.so.5.0.2)
==25180==    by 0x67EDE0E: tesseract::Tesseract::Tesseract() (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x6795F55: tesseract::TessBaseAPI::Init(char const*, int, char const*, tesseract::OcrEngineMode, char**, int, GenericVector<STRING> const*, GenericVector<STRING> const*, bool, bool (*)(STRING const&, GenericVector<char>*)) (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x67963A5: tesseract::TessBaseAPI::Init(char const*, char const*, tesseract::OcrEngineMode, char**, int, GenericVector<STRING> const*, GenericVector<STRING> const*, bool) (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x4FAA5BE: tesseract::TessBaseAPI::Init(char const*, char const*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FA95A5: alpr::TesseractOcr::TesseractOcr(alpr::Config*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FAB9D2: alpr::createOcr(alpr::Config*) (in /usr/lib/libopenalpr.so.2)
==25180== 
==25180== Invalid read of size 8
==25180==    at 0x67C7568: tesseract::LTRResultIterator::WordFontAttributes(bool*, bool*, bool*, bool*, bool*, bool*, int*, int*) const (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x4FA9B7F: alpr::TesseractOcr::recognize_line(int, alpr::PipelineData*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FAB52E: alpr::OCR::performOCR(alpr::PipelineData*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6DDF9: alpr::AlprImpl::analyzeSingleCountry(cv::Mat, cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6C8BF: alpr::AlprImpl::recognizeFullDetails(cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6F2B6: alpr::AlprImpl::recognize(cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6EF0F: alpr::AlprImpl::recognize(unsigned char*, int, int, int, std::vector<alpr::AlprRegionOfInterest, std::allocator<alpr::AlprRegionOfInterest> >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F670E3: alpr::Alpr::recognize(unsigned char*, int, int, int, std::vector<alpr::AlprRegionOfInterest, std::allocator<alpr::AlprRegionOfInterest> >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x1414C5: detectandshow(alpr::Alpr*, cv::Mat, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool) (in /usr/bin/alpr)
==25180==    by 0x13EF65: main (in /usr/bin/alpr)
==25180==  Address 0x8 is not stack'd, malloc'd or (recently) free'd
==25180== 
==25180== 
==25180== Process terminating with default action of signal 11 (SIGSEGV)
==25180==  Access not within mapped region at address 0x8
==25180==    at 0x67C7568: tesseract::LTRResultIterator::WordFontAttributes(bool*, bool*, bool*, bool*, bool*, bool*, int*, int*) const (in /usr/lib/x86_64-linux-gnu/libtesseract.so.4.0.0)
==25180==    by 0x4FA9B7F: alpr::TesseractOcr::recognize_line(int, alpr::PipelineData*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4FAB52E: alpr::OCR::performOCR(alpr::PipelineData*) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6DDF9: alpr::AlprImpl::analyzeSingleCountry(cv::Mat, cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6C8BF: alpr::AlprImpl::recognizeFullDetails(cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6F2B6: alpr::AlprImpl::recognize(cv::Mat, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F6EF0F: alpr::AlprImpl::recognize(unsigned char*, int, int, int, std::vector<alpr::AlprRegionOfInterest, std::allocator<alpr::AlprRegionOfInterest> >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x4F670E3: alpr::Alpr::recognize(unsigned char*, int, int, int, std::vector<alpr::AlprRegionOfInterest, std::allocator<alpr::AlprRegionOfInterest> >) (in /usr/lib/libopenalpr.so.2)
==25180==    by 0x1414C5: detectandshow(alpr::Alpr*, cv::Mat, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool) (in /usr/bin/alpr)
==25180==    by 0x13EF65: main (in /usr/bin/alpr)
==25180==  If you believe this happened as a result of a stack
==25180==  overflow in your program's main thread (unlikely but
==25180==  possible), you can try to increase the size of the
==25180==  main thread stack using the --main-stacksize= flag.
==25180==  The main thread stack size used in this run was 8388608.
==25180== 
==25180== HEAP SUMMARY:
==25180==     in use at exit: 46,850,402 bytes in 127,073 blocks
==25180==   total heap usage: 463,968 allocs, 336,895 frees, 262,349,856 bytes allocated
==25180== 
==25180== LEAK SUMMARY:
==25180==    definitely lost: 0 bytes in 0 blocks
==25180==    indirectly lost: 0 bytes in 0 blocks
==25180==      possibly lost: 38,457,401 bytes in 165 blocks
==25180==    still reachable: 8,393,001 bytes in 126,908 blocks
==25180==                       of which reachable via heuristic:
==25180==                         newarray           : 125,264 bytes in 176 blocks
==25180==         suppressed: 0 bytes in 0 blocks
==25180== Rerun with --leak-check=full to see details of leaked memory
==25180== 
==25180== For counts of detected and suppressed errors, rerun with: -v
==25180== Use --track-origins=yes to see where uninitialised values come from
==25180== ERROR SUMMARY: 170 errors from 3 contexts (suppressed: 0 from 0)
[1]    25180 segmentation fault (core dumped)  valgrind alpr -c eu /dev/video1

I see a lot of steps here to install with GPU https://github.com/openalpr/openalpr/wiki/Compilation-instructions-(Ubuntu-Linux) i was wondering if there is a script to do it all at once.

perhaps an apt install ..? just like non GPU version?

hi, great project!

The cjson library used by the project seems to be outdated and has security issues. I checked it and found that there is no trigger in the code, but it is still recommended to upgrade.

https://www.cvedetails.com/product/49776/Cjson-Project-Cjson.html?vendor_id=19164 https://github.com/DaveGamble/cJSON/issues/30

Bumps Newtonsoft.Json from 8.0.3 to 13.0.1.

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Hello I have two camera streams capturing to one ubuntu system right now and if I use the mask setting it will mask both cameras. Is there a way to mask the streams separately?

Does anyone know how to enable the motion decetion for the openalpr daemon? At the moment I have installed the daemon on my machine and everything works fine. But the CPU usage is high because it is evaluating every picture of the video feed. Is there a flag for the config file? I haven't found anything in the docs. Only for the alpr command line tool but not for the daemon.