将Mat转换为PIX以设置图像 [英] Converting Mat to PIX to setImage

问题描述

我试图从剪裁的图像中识别文本，但我需要从 Mat 到 PIX 因为X平台编码。

I'm trying to recognize text from a cropped image but I need to pass it from Mat to PIX because X-Platform coding.

我试过这个，此和 this

并执行相同的函数传递 Mat 和 PIX 使用相同的图像，结果非常不同（ PIX 它工作得很好， Mat 它搞乱了）。

And doing the same function passing Mat and PIX with the same image, results are very very different (with PIX it works perfectly, with Mat it gets messed).

？

感谢。

PD :(这是我使用的代码片段之一） / p>

PD: (This is one of the code snippets that I'm using)

String imgToString(const char* variables, Mat gray) {
    char *outText;

    tesseract::TessBaseAPI *api = new tesseract::TessBaseAPI();
    if (api->Init(NULL, "eng")) {
        String returnString = "Could not initialize tesseract.\n";
        fprintf(stderr, "Could not initialize tesseract.\n");
        return returnString;
    }
    api->SetVariable("tessedit_char_whitelist", variables);

    // Open input image with leptonica library
    api->TesseractRect(gray.data, 1, gray.channels() * gray.size().width, 0, 0, gray.cols, gray.rows);
    // Get OCR result
    outText = api->GetUTF8Text();
    return outText;
}

// The one below works fantastic

String imgToString(const char* variables, const char* filename) {
    char *outText;

    tesseract::TessBaseAPI *api = new tesseract::TessBaseAPI();
    if (api->Init(NULL, "eng")) {
        String returnString = "Could not initialize tesseract.\n";
        fprintf(stderr, "Could not initialize tesseract.\n");
        return returnString;
    }
    api->SetVariable("tessedit_char_whitelist", variables);

    // Open input image with leptonica library
    Pix *image = pixRead(filename);
    api->SetImage(image);
    // Get OCR result
    outText = api->GetUTF8Text();
    return outText;
}

推荐答案

问题似乎在灰色图像。因为tesseract的pix.h头部表示库工作在32位每像素深度的图像。此外，tesseract重量颜色，所以右对齐它们应该做（opencv默认存储颜色为BGR，但tesseract等待RGBA）。简历：

Problem is seems to be in a gray image. As tesseract's pix.h header says library works on images with 32-bit per pixel depth. Also tesseract weighs colors, so right alignment of them should be done (opencv on default stores colors as BGR, but tesseract wait RGBA). Resume:

#include <tesseract/baseapi.h>
#include <leptonica/allheaders.h>    
#include <opencv2/opencv.hpp>
...
char imagename[] = "testimg.jpg";
cv::Mat _mat = cv::imread(imagename);
cv::cvtColor(_mat, _mat, CV_BGR2RGBA); 
api.SetImage(_mat.data, _mat.cols, _mat.rows, 4, 4*_mat.cols);
cahr *outtext = api.GetUTF8Text();
...

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