mirror of http://192.168.1.51:8099/lmh188/twain3.0
lovelyyoung
parent
19c001a85c
commit
ac12acc233
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@ -1,9 +1,8 @@
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#include "ImageApplyDiscardBlank.h"
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#include "ImageProcess_Public.h"
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CImageApplyDiscardBlank::CImageApplyDiscardBlank(bool isnormal)
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#include "filetools.h"
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CImageApplyDiscardBlank::CImageApplyDiscardBlank()
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: m_res(false)
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, isNormalDiscard(isnormal)
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, dSize(200)
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, devTh(15, 15, 15, 15)
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{
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@ -88,15 +87,15 @@ int CImageApplyDiscardBlank::processRectR(const cv::Mat& image, cv::RotatedRect&
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bool CImageApplyDiscardBlank::scalar_LE(const cv::Scalar& val1, const cv::Scalar& val2)
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{
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for(int i = 0; i < 3; i++)
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if(val1[i] > val2[i])
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for (int i = 0; i < 3; i++)
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if (val1[i] > val2[i])
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return false;
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return true;
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}
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void CImageApplyDiscardBlank::setIntensity(int val)
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{
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val = cv::max(cv::min(20, val), 2);
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val = cv::max(cv::min(100, val), 1);
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devTh = cv::Scalar(val, val, val, val);
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}
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@ -117,7 +116,7 @@ cv::Mat CImageApplyDiscardBlank::getRoiMat(const cv::Mat& image)
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return image(inRect);
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}
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void CImageApplyDiscardBlank::apply(cv::Mat& pDib,int side)
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void CImageApplyDiscardBlank::apply(cv::Mat& pDib, int side)
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{
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#ifdef LOG
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FileTools::write_log("imgprc.txt", "enter CImageApplyDiscardBlank apply");
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@ -131,9 +130,6 @@ void CImageApplyDiscardBlank::apply(cv::Mat& pDib,int side)
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return;
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}
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setIntensity(isNormalDiscard ? 8 : 20);
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setMinArea(isNormalDiscard ? 200 : 300);
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cv::Scalar mean;
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cv::Scalar dev;
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cv::Mat image = getRoiMat(pDib);
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@ -150,7 +146,7 @@ void CImageApplyDiscardBlank::apply(cv::Mat& pDib,int side)
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{
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m_res = false;
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#ifdef LOG
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FileTools::write_log("imgprc.txt", "exit CImageApplyDiscardBlank apply");
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FileTools::write_log("D:\\imgprc.txt", "CImageApplyDiscardBlank blank");
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#endif // LOG
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return;
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}
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@ -166,14 +162,13 @@ void CImageApplyDiscardBlank::apply(cv::Mat& pDib,int side)
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void CImageApplyDiscardBlank::apply(std::vector<cv::Mat>& mats, bool isTwoSide)
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{
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if (mats.empty()) return;
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if (!mats[0].empty()) {
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apply(mats[0], 0);
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(void)isTwoSide;
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int i = 0;
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for (cv::Mat& var : mats) {
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if (i != 0 && isTwoSide == false)
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break;
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if (!var.empty())
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apply(var, 0);
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i++;
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}
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if (isTwoSide && mats.size() > 1) {
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if (!mats[1].empty())
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apply(mats[1], 1);
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}
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}
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}
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@ -1,3 +1,16 @@
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/*
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* ====================================================
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* 功能：空白页识别。
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* 作者：刘丁维
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* 生成时间：2020/4/21
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* 最近修改时间：2020/4/21 v1.0
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2020/8/12 v1.1 开放setIntensity和setMinArea；取消isNormal标识位；扩大setIntensity的设置范围，从[2, 20]扩大到[1, 100]
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* 版本号：v1.1
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* ====================================================
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*/
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#ifndef IMAGE_APPLY_DISCARD_BLANK_H
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#define IMAGE_APPLY_DISCARD_BLANK_H
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@ -6,19 +19,23 @@
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class CImageApplyDiscardBlank : public CImageApply
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{
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public:
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CImageApplyDiscardBlank(bool isnormal = true);
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/*
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* isnormal [in]:true标准模式，false为票据复写纸模式
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* */
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CImageApplyDiscardBlank();
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virtual ~CImageApplyDiscardBlank(void);
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virtual void apply(cv::Mat& pDib,int side);
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virtual void apply(cv::Mat& pDib,int side);
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virtual void apply(std::vector<cv::Mat>& mats, bool isTwoSide);
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private:
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void setIntensity(int val);
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void setMinArea(int val) { dSize = val; }
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private:
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int processRectR(const cv::Mat& image, cv::RotatedRect& rotatedRect, std::vector<cv::Point>& maxContour,
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double scale, double thresh, int blobAreaSize);
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@ -50,7 +50,7 @@ void CImageApplyRotation::apply(cv::Mat & pDib, int side)
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if (m_dpi != 200)
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{
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double scale = 200 / static_cast<double>(m_dpi);
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int new_w = (pDib.cols * scale + 3) / 4 * 4;
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int new_w = static_cast<int>(pDib.cols * scale) / 4 * 4;
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int new_h = pDib.rows * scale;
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cv::resize(pDib, temp, cv::Size(new_w, new_h));
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}
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@ -0,0 +1,163 @@
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#include "hg_gpdf.h"
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#if defined(WIN32)
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#include "baseapi.h"
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#include "allheaders.h"
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#include "renderer.h"
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#else
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#include <leptonica/allheaders.h>
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#include <tesseract/baseapi.h>
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#include <tesseract/renderer.h>
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#endif
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//#define USE_QT
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#ifdef USE_QT
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#include <QDebug>
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#include <QTime>
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#endif
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Pix* createPix(const unsigned char * imagedata, int width, int height, int bytes_per_pixel, int bytes_per_line, int dpi)
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{
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int bpp = bytes_per_pixel * 8;
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if (bpp == 0) bpp = 1;
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Pix* pix = pixCreate(width, height, bpp == 24 ? 32 : bpp);
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pixSetXRes(pix, dpi);
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pixSetYRes(pix, dpi);
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l_uint32* data = pixGetData(pix);
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int wpl = pixGetWpl(pix);
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switch (bpp)
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{
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case 1:
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for (int y = 0; y < height; ++y, data += wpl, imagedata += bytes_per_line)
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for (int x = 0; x < width; ++x)
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if (imagedata[x / 8] & (0x80 >> (x % 8)))
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CLEAR_DATA_BIT(data, x);
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else
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SET_DATA_BIT(data, x);
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break;
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case 8:
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// Greyscale just copies the bytes in the right order.
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for (int y = 0; y < height; ++y, data += wpl, imagedata += bytes_per_line)
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for (int x = 0; x < width; ++x)
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SET_DATA_BYTE(data, x, imagedata[x]);
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break;
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case 24:
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// Put the colors in the correct places in the line buffer.
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for (int y = 0; y < height; ++y, imagedata += bytes_per_line)
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for (int x = 0; x < width; ++x, ++data) {
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SET_DATA_BYTE(data, COLOR_RED, imagedata[3 * x]);
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SET_DATA_BYTE(data, COLOR_GREEN, imagedata[3 * x + 1]);
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SET_DATA_BYTE(data, COLOR_BLUE, imagedata[3 * x + 2]);
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}
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break;
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case 32:
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// Maintain byte order consistency across different endianness.
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for (int y = 0; y < height; ++y, imagedata += bytes_per_line, data += wpl)
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for (int x = 0; x < width; ++x)
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data[x] = static_cast<l_uint32>((imagedata[x * 4] << 24) | (imagedata[x * 4 + 1] << 16) |
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(imagedata[x * 4 + 2] << 8) | imagedata[x * 4 + 3]);
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break;
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default:
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break;
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}
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pix->informat = bytes_per_pixel == 1 ? 1 : 2;
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if (bytes_per_pixel == 1)
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{
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PIXCMAP* colormap = pixcmapCreate(8);
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LEPT_FREE(colormap->array);
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colormap->array = reinterpret_cast<l_uint8*>(LEPT_CALLOC(256, sizeof(RGBA_QUAD)));
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colormap->n = 256;
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colormap->nalloc = 256;
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colormap->depth = 8;
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l_uint8* ptr = reinterpret_cast<l_uint8*>(colormap->array);
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for (int i = 0; i < 256; i++)
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ptr[i * 4 + 0] = ptr[i * 4 + 1] = ptr[i * 4 + 2] = ptr[i * 4 + 3] = static_cast<l_uint8>(i);
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pixSetColormap(pix, colormap);
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}
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pixSetXRes(pix, 200);
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pixSetYRes(pix, 200);
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return pix;
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}
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HG_OCR::HG_OCR()
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: m_ptr(nullptr)
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{
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}
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HG_OCR::~HG_OCR()
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{
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if (m_ptr)
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{
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reinterpret_cast<tesseract::TessBaseAPI*>(m_ptr)->End();
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delete reinterpret_cast<tesseract::TessBaseAPI*>(m_ptr);
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}
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}
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int HG_OCR::init(const char* trainFile, RECOGNITION_MODE mode)
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{
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if (m_ptr) delete reinterpret_cast<tesseract::TessBaseAPI*>(m_ptr);
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tesseract::TessBaseAPI* api = new tesseract::TessBaseAPI();
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api->SetPageSegMode(tesseract::PSM_AUTO_OSD);
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m_ptr = reinterpret_cast<void*>(api);
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return api->Init(trainFile, mode == RECOGNITION_OCR ? "chi_sim" : "osd");
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}
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bool HG_OCR::ocr(const char** inputFileNames, int numOfFiles, const char* outputFileName, SAVE_MODE flag)
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{
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if (m_ptr == nullptr) return false;
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if (inputFileNames == nullptr || numOfFiles == 0) return false;
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tesseract::PointerVector<tesseract::TessResultRenderer> renderers;
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tesseract::TessBaseAPI *api = reinterpret_cast<tesseract::TessBaseAPI*>(m_ptr);
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if (flag & SAVE_PDF)
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renderers.push_back(new tesseract::TessPDFRenderer(outputFileName, api->GetDatapath(), false));
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if (flag & SAVE_TXT)
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renderers.push_back(new tesseract::TessTextRenderer(outputFileName));
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#ifdef USE_QT
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QTime timer;
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timer.start();
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#endif
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int numOfRenderer = renderers.length();
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for (int i = 0; i < numOfRenderer; i++)
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renderers[i]->BeginDocument("");
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for (int i = 0; i < numOfFiles; i++)
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{
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Pix* img = pixRead(inputFileNames[i]);
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api->SetInputName(outputFileName);
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api->SetImage(img);
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api->Recognize(nullptr);
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for (int i = 0; i < numOfRenderer; i++)
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renderers[i]->AddImage(api);
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pixDestroy(&img);
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}
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for (int i = 0; i < numOfRenderer; i++)
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renderers[i]->EndDocument();
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renderers.clear();
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#ifdef USE_QT
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qDebug() << timer.elapsed();
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#endif
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return true;
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}
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int HG_OCR::orientation(const unsigned char *data, int width, int height, int channels, int dpi)
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{
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Pix* pix = createPix(data, width, height, channels, (width * channels + 3) / 4 * 4, dpi);
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tesseract::TessBaseAPI *api = reinterpret_cast<tesseract::TessBaseAPI*>(m_ptr);
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api->SetImage(pix);
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int orient_deg = 1;
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api->DetectOrientationScript(&orient_deg, nullptr, nullptr, nullptr);
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pixDestroy(&pix);
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return orient_deg;
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}
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@ -0,0 +1,85 @@
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/*
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* ====================================================
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* 功能：本地图片进行OCR，并生成多页PDF功能
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* 作者：刘丁维
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* 生成时间：2020/3/5
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* 最近修改时间：2020/3/5
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* 版本号：v1.0
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* ====================================================
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*/
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#ifndef HG_GPDF_H
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#define HG_GPDF_H
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#if defined (_WIN32)
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#if !defined (HG_GPDF_API_BUILD)
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#define HG_GPDF_API //__declspec(dllexport)
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#else
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#define HG_GPDF_API //__declspec(dllimport)
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#endif
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#else
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#define HG_GPDF_API
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#endif
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class HG_GPDF_API HG_OCR
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{
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public:
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//识别模式
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enum RECOGNITION_MODE
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{
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RECOGNITION_OSD, //文稿方向识别模式
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RECOGNITION_OCR //字符识别模式
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};
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//字符识别保存模式
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enum SAVE_MODE
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{
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SAVE_PDF = 0x01, //PDF保存字符识别结果
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SAVE_TXT = 0x02, //TXT保存字符识别结果
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SAVE_PDF_TXT = 0x03 //同时采用PDF和TXT保存字符识别结果
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};
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public:
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HG_OCR();
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~HG_OCR();
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/*
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* 函数功能：初始化PDF生成器
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* trainFile:[in] 训练库文件路径，不含文件名，末尾无需'/'结尾
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* mode：[in] 具体选项参照 enum RECOGNITION_MODE，默认值为RECOGNITION_OCR
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* 返回值：0为成功，否则为异常。异常查看打印输出
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*/
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int init(const char* trainFile, RECOGNITION_MODE mode = RECOGNITION_OCR);
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/*
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* 函数功能：字符识别，并生成文本
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* inputFileNames:[in] 本地待识别图片完整路径，可同时输入多个图片路径
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* numOfFiles：[in] inputFileNames长度
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* numOfFiles：[in] inputFileNames长度
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* outputFileName：[in] 识别结果保存路径，包含文件基础名字，不含文件后缀名
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* flag：[in] 字符识别保存模式，参照 enum SAVE_MODE
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* 返回值：true为成功，否则为异常。异常查看打印输出
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*/
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bool ocr(const char** inputFileNames, int numOfFiles, const char* outputFileName, SAVE_MODE flag = SAVE_PDF);
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/*
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* 函数功能：文本方向识别
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* data:[in] 图像数据指针
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* width：[in] 图像宽度
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* height：[in] 图像高度
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* channels：[in] 图像通道
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* dpi：[in] 图片DPI
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* 返回值：以顺时针进行计数，输出0,90,180,270四种结果
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*/
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int orientation(const unsigned char* data, int width, int height, int channels, int dpi);
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private:
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void* m_ptr;
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};
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#endif //HG_GPDF_H
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