ushelp / EasyOCR

Java OCR 识别组件(基于Tesseract OCR 引擎)。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content).

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NullPointerException when discern the InputStream

cbfmai opened this issue · comments

Sample code bellow, would you please help??

String file ="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";


InputStream is = new ByteArrayInputStream(file.getBytes());

EasyOCR e = new EasyOCR();
e.setTesseractPath("D:\\Program Files\\Tesseract-OCR\\tesseract");
e.discernAndAutoCleanImage(is, ImageType.CAPTCHA_NORMAL);

Got an exception with

Exception in thread "main" java.lang.NullPointerException
    at cn.easyproject.easyocr.ImageClean.cleanImage(ImageClean.java:953)
    at cn.easyproject.easyocr.ImageClean.cleanImage(ImageClean.java:909)
    at cn.easyproject.easyocr.ImageClean.cleanImage(ImageClean.java:1357)
    at cn.easyproject.easyocr.EasyOCR.discernAndAutoCleanImage(EasyOCR.java:580)
    at cn.easyproject.easyocr.EasyOCR.discernAndAutoCleanImage(EasyOCR.java:410)
    at cn.easyproject.easyocr.EasyOCR.discernAndAutoCleanImage(EasyOCR.java:358)
    at com.sinocare.uq.CaptchaTest.main(CaptchaTest.java:35)

However, it is working fine with File like e.discern("images/new/test.jpg")

commented

May be your bytes is not a standard IMAGE. It's not containts image header information. You can try by Base64 to convert.

Would you please provide a sample code to use InputStream?

I tried, still NullPointerException

commented

Your code is WRONG WAY to get image input stream, It'g get the String bytes input stream.
You can use like this:

String str="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";

// Correct to get InputStream from image serialized character string  
InputStream is=new ByteArrayInputStream(Base64.decode(str));
EasyOCR e=new EasyOCR();
System.out.println(e.discern(is));

Hoping to solve your problems.

Thanks.

Wondering why you can use this System.out.println(e.discern(is));?

One more question, I got an error when put my code into linux system.

06-12 17:09:56,297-[http-nio-8085-exec-8]-[DirectJDKLog]-[ERROR] Servlet.service() for servlet [dispatcherServlet] in context with path [] threw exception [Request proc
essing failed; nested exception is java.lang.RuntimeException: Errors accessing files. There may be spaces in your image's filename.] with root cause
java.lang.RuntimeException: Errors accessing files. There may be spaces in your image's filename.
        at cn.easyproject.easyocr.EasyOCR.discernToFileAndGet(EasyOCR.java:1841)
        at cn.easyproject.easyocr.EasyOCR.discern(EasyOCR.java:119)

I google it, all the answers are based on window? Any idea?

Thanks, I fixed the problem. You are right, the base64 is wrong in my code.