diff --git a/hgdriver/ImageProcess/ImageApplyColorCastCorrect.cpp b/hgdriver/ImageProcess/ImageApplyColorCastCorrect.cpp index 48b2911..a94e1dc 100644 --- a/hgdriver/ImageProcess/ImageApplyColorCastCorrect.cpp +++ b/hgdriver/ImageProcess/ImageApplyColorCastCorrect.cpp @@ -3,54 +3,66 @@ #include #define max(a, b) ((a) > (b) ? (a) : (b)) -#define SIZE_OF_TABLE 256 * 256 * 256 +constexpr auto SIZE_OF_TABLE = 256; -CImageApplyColorCastCorrect::CImageApplyColorCastCorrect() - : m_table(new uint[SIZE_OF_TABLE]) -{ - std::vector points_x, points_y; - points_x = { 0, 80, 175, 255 }; - points_y = { 12, 85, 175, 270 }; - createTable(points_x, points_y); -} CImageApplyColorCastCorrect::CImageApplyColorCastCorrect(const std::vector& points_x, const std::vector& points_y) - : m_table(new uint[256 * 256 * 256]) + : m_table(new uchar[SIZE_OF_TABLE]) { createTable(points_x, points_y); } CImageApplyColorCastCorrect::CImageApplyColorCastCorrect(const std::string& fileName) - : m_table(new uint[256 * 256 * 256]) + : m_table(new uchar[SIZE_OF_TABLE]) { std::fstream file(fileName, std::ios::in | std::ios::binary); if (file) - file.read(reinterpret_cast(m_table), SIZE_OF_TABLE * sizeof(uint)); + file.read(reinterpret_cast(m_table), SIZE_OF_TABLE); file.close(); } +CImageApplyColorCastCorrect::CImageApplyColorCastCorrect(const uchar* table_h) + : m_table(new uchar[SIZE_OF_TABLE]) +{ + memcpy(m_table, table_h, SIZE_OF_TABLE); +} + +CImageApplyColorCastCorrect::CImageApplyColorCastCorrect(const int type) + : m_table(new uchar[SIZE_OF_TABLE]) +{ + if(type == 1) + memcpy(m_table,CIS_DN_PATCH1,SIZE_OF_TABLE); + else + memcpy(m_table,CIS_DN_PATCH2,SIZE_OF_TABLE); +} + CImageApplyColorCastCorrect::~CImageApplyColorCastCorrect(void) { delete[] m_table; } +void CImageApplyColorCastCorrect::setlutdata(const int type) +{ + if(type == 1) memcpy(m_table,CIS_DN_PATCH1,SIZE_OF_TABLE); + else memcpy(m_table,CIS_DN_PATCH2,SIZE_OF_TABLE); +} + void CImageApplyColorCastCorrect::apply(cv::Mat& pDib, int side) { if (pDib.channels() != 3) return; - cv::Mat bgra; - cv::cvtColor(pDib, bgra, cv::COLOR_BGR2BGRA); - uint* ptr = bgra.ptr(); - int rows = bgra.rows, cols = bgra.cols; - for (int i = 0; i < rows; i++) - { - ptr = reinterpret_cast(bgra.ptr(i)); - for (int j = 0; j < cols; j++) - ptr[j] = m_table[ptr[j] & 0x00ffffff]; - } - cv::cvtColor(bgra, pDib, cv::COLOR_BGRA2BGR); - bgra.release(); + cv::Mat hsv; + cv::cvtColor(pDib, hsv, cv::COLOR_BGR2HSV_FULL); + + cv::Mat hsv_mv[3]; + cv::split(hsv, hsv_mv); + + cv::Mat lut(256, 1, CV_8UC1, m_table); + cv::LUT(hsv_mv[0], lut, hsv_mv[0]); + cv::merge(hsv_mv, 3, pDib); + + cv::cvtColor(pDib, pDib, cv::COLOR_HSV2BGR_FULL); } void CImageApplyColorCastCorrect::apply(std::vector& mats, bool isTwoSide) @@ -70,115 +82,45 @@ void CImageApplyColorCastCorrect::exportTableData(const std::string& fileName) { std::fstream file(fileName, std::ios::out | std::ios::binary); if (file) - file.write(reinterpret_cast(m_table), SIZE_OF_TABLE * sizeof(uint)); + file.write(reinterpret_cast(m_table), SIZE_OF_TABLE); file.close(); } -std::vector CImageApplyColorCastCorrect::caculate(const std::vector& points_x, const std::vector& points_y) -{ - int MaxElement = points_x.size() - 1; - //计算常数f - double f = points_y[0]; - //求解 - int n, m; - //double a[MaxElement][MaxElement+1]; - std::vector> a; - //a.resize(MaxElement); - for (int i = 0; i < MaxElement; i++) - { - std::vector b; - b.resize(MaxElement + 1); - a.push_back(b); - } - - for (int i = 0; i < MaxElement; i++) - { - for (int j = 0; j < MaxElement; j++) - a[i][j] = cv::pow(points_x[i + 1], MaxElement - j); - a[i][MaxElement] = points_y[i + 1] - f; - } - - int i, j; - n = MaxElement; - - for (j = 0; j < n; j++) - { - double max = 0; - double imax = 0; - for (i = j; i < n; i++) - if (imax < cv::abs(a[i][j])) - { - imax = cv::abs(a[i][j]); - max = a[i][j];//得到各行中所在列最大元素 - m = i; - } - - if (cv::abs(a[j][j]) != max) - { - double b = 0; - for (int k = j; k < n + 1; k++) - { - b = a[j][k]; - a[j][k] = a[m][k]; - a[m][k] = b; - } - } - - for (int r = j; r < n + 1; r++) - a[j][r] = a[j][r] / max;//让该行的所在列除以所在列的第一个元素，目的是让首元素为1 - - for (i = j + 1; i < n; i++) - { - double c = a[i][j]; - if (c == 0.0) continue; - for (int s = j; s < n + 1; s++) - a[i][s] = a[i][s] - a[j][s] * c;//前后行数相减，使下一行或者上一行的首元素为0 - } - } - - for (i = n - 2; i >= 0; i--) - for (j = i + 1; j < n; j++) - a[i][n] = a[i][n] - a[j][n] * a[i][j]; - - std::vector result; - for (int k = 0; k < n; k++) - result.push_back(a[k][n]); - result.push_back(f); - return result; -} - void CImageApplyColorCastCorrect::createTable(const std::vector& points_x, const std::vector& points_y) { - cv::Mat mat_rgbTable(256 * 256, 256, CV_8UC3); - uchar* ptr_mat_rgbTable = mat_rgbTable.data; - for (size_t r = 0; r < 256; r++) - for (size_t g = 0; g < 256; g++) - for (size_t b = 0; b < 256; b++, ptr_mat_rgbTable += 3) - { - ptr_mat_rgbTable[0] = b; - ptr_mat_rgbTable[1] = g; - ptr_mat_rgbTable[2] = r; - } + int table_temp[256]{}; - cv::cvtColor(mat_rgbTable, mat_rgbTable, cv::COLOR_BGR2HSV_FULL); + for (size_t i = 0; i < points_x.size(); i++) + { + int current_index = static_cast(points_x[i]); + if (current_index == 255) + current_index = 0; + int next_index = static_cast(points_x[(i + 1) % points_x.size()]); - uchar table_data[256]; - cv::Mat tableLUT(256, 1, CV_8UC1, table_data); - std::vector coefficient; + double low = points_y[i]; + double up = points_y[(i + 1) % points_y.size()]; + if (low == 255) + low = 0; + if (up < low) + up += 255; - coefficient = caculate(points_x, points_y); - for (int j = 0; j < 256; j++) - table_data[j] = static_cast(max(0, coefficient[0] * j * j * j + coefficient[1] * j * j + coefficient[2] * j + coefficient[3])); + if (next_index < current_index) + next_index += 256; - cv::Mat hsv_ms[3]; - cv::split(mat_rgbTable, hsv_ms); - cv::LUT(hsv_ms[0], tableLUT, hsv_ms[0]); - cv::merge(hsv_ms, 3, mat_rgbTable); + int length = next_index - current_index + 1; + double step = (up - low) / length; - cv::cvtColor(mat_rgbTable, mat_rgbTable, cv::COLOR_HSV2BGR_FULL); + for (int j = 0; j < length; j++) + { + int temp = (j + current_index) % 256; + table_temp[temp] = step * j + low; + } - cv::Mat mat_bgr32(256, 256 * 256, CV_8UC4); - cv::cvtColor(mat_rgbTable, mat_bgr32, cv::COLOR_BGR2BGRA); - - memcpy(m_table, mat_bgr32.data, mat_bgr32.total() * sizeof(uint)); + for (size_t j = 0; j < 256; j++) + if (table_temp[j] > 255) + m_table[j] = table_temp[j] - 255; + else + m_table[j] = table_temp[j]; + } } + diff --git a/hgdriver/ImageProcess/ImageApplyColorCastCorrect.h b/hgdriver/ImageProcess/ImageApplyColorCastCorrect.h index 24a4bfc..4d3b5fd 100644 --- a/hgdriver/ImageProcess/ImageApplyColorCastCorrect.h +++ b/hgdriver/ImageProcess/ImageApplyColorCastCorrect.h @@ -1,12 +1,16 @@ /* * ==================================================== - * 功能：色偏校正 - * 作者：刘丁维 - * 生成时间：2022/12/01 - * 最近修改时间：v1.0 2022/12/01 - * v1.1 2022/12/01 增加从文件中读取查值表数据接口；增加导出查值表数据接口 - * 版本号：v1.1 + * 鍔熻兘锛氳壊鍋忔牎姝 + * 浣滆咃細鍒樹竵缁 + * 鐢熸垚鏃堕棿锛2022/12/01 + * 鏈杩戜慨鏀规椂闂达細v1.0 2022/12/01 + * v1.1 2022/12/01 澧炲姞浠庢枃浠朵腑璇诲彇鏌ュ艰〃鏁版嵁鎺ュ彛锛涘鍔犲鍑烘煡鍊艰〃鏁版嵁鎺ュ彛 + * v1.1.1 2023/03/24 澧炲姞棰勮鏂规 + * v1.2 2023/04/04 鎻愰珮鏇茬嚎鎷愮偣鏁帮紝澧炲姞棰勮鏂规CIS_DN_PATCH3 + * v1.3 2023/04/17 澧炲姞鏂版煡鍊艰〃瀵煎叆鏂瑰紡銆 + * v2.0 2023/05/15 閲嶆瀯鏌ュ艰〃绠楁硶銆 + * 鐗堟湰鍙凤細v2.0 * ==================================================== */ @@ -19,24 +23,72 @@ class GIMGPROC_LIBRARY_API CImageApplyColorCastCorrect : public CImageApply { public: - /// - /// 默认使用 points_x = { 0, 80, 175, 255 } points_y = { 12, 85, 175, 270 }曲线创建查值表 - /// - CImageApplyColorCastCorrect(); + static const uchar CIS_DN_PATCH2[256] = //鎽╁皵绾规參閫熸壂鎻忚壊鍋忓弬鏁 + { + 0x10, 0x11, 0x13, 0x14, 0x16, 0x17, 0x1B, 0x1B, 0x1C, 0x1C, 0x1D, 0x1D, 0x1E, 0x1E, 0x1F, 0x1F, + 0x20, 0x21, 0x21, 0x21, 0x22, 0x22, 0x22, 0x23, 0x23, 0x23, 0x24, 0x24, 0x24, 0x25, 0x25, 0x25, + 0x26, 0x26, 0x26, 0x27, 0x27, 0x28, 0x28, 0x28, 0x29, 0x29, 0x29, 0x2A, 0x2A, 0x2A, 0x2B, 0x2B, + 0x2B, 0x2C, 0x2C, 0x2C, 0x2D, 0x2D, 0x2D, 0x2E, 0x2E, 0x2E, 0x2F, 0x2F, 0x2F, 0x30, 0x30, 0x30, + 0x31, 0x31, 0x31, 0x32, 0x33, 0x34, 0x36, 0x38, 0x3A, 0x3C, 0x3E, 0x40, 0x42, 0x44, 0x46, 0x48, + 0x4A, 0x4C, 0x4E, 0x50, 0x52, 0x54, 0x56, 0x58, 0x5A, 0x5C, 0x5E, 0x62, 0x63, 0x65, 0x66, 0x68, + 0x69, 0x6B, 0x6C, 0x6E, 0x6F, 0x71, 0x72, 0x74, 0x75, 0x77, 0x78, 0x7A, 0x7B, 0x7D, 0x7E, 0x82, + 0x82, 0x82, 0x83, 0x83, 0x84, 0x84, 0x85, 0x85, 0x86, 0x86, 0x87, 0x87, 0x88, 0x88, 0x89, 0x89, + 0x8A, 0x8A, 0x8B, 0x8B, 0x8C, 0x8C, 0x8D, 0x8D, 0x8E, 0x8E, 0x8F, 0x90, 0x90, 0x90, 0x91, 0x91, + 0x92, 0x92, 0x93, 0x93, 0x94, 0x94, 0x95, 0x96, 0x97, 0x99, 0x9B, 0x9D, 0x9F, 0xA1, 0xA3, 0xA4, + 0xA6, 0xA8, 0xAA, 0xAC, 0xAE, 0xB2, 0xB3, 0xB4, 0xB6, 0xB7, 0xB8, 0xBA, 0xBB, 0xBC, 0xBE, 0xBF, + 0xC1, 0xC2, 0xC3, 0xC5, 0xC6, 0xC7, 0xC9, 0xCA, 0xCB, 0xCD, 0xCE, 0xD0, 0xD1, 0xD2, 0xD4, 0xD5, + 0xD6, 0xD8, 0xD9, 0xDA, 0xDC, 0xDF, 0xDF, 0xE0, 0xE0, 0xE1, 0xE1, 0xE2, 0xE3, 0xE3, 0xE4, 0xE4, + 0xE5, 0xE6, 0xE6, 0xE7, 0xE7, 0xE8, 0xE9, 0xE9, 0xEA, 0xEA, 0xEB, 0xEC, 0xEC, 0xED, 0xED, 0xEE, + 0xEF, 0xEF, 0xF0, 0xF0, 0xF1, 0xF1, 0xF2, 0xF3, 0xF3, 0xF4, 0xF4, 0xF5, 0xF6, 0xF6, 0xF7, 0xF7, + 0xF8, 0xF9, 0xF9, 0xFA, 0xFA, 0xFB, 0xFC, 0xFC, 0xFD, 0xFD, 0xFE, 0x02, 0x05, 0x08, 0x0A, 0x0D + }; + const uchar CIS_DN_PATCH1[256] = //姝ｅ父鎵弿鑹插亸鍙傛暟 + { + 0x10, 0x11, 0x13, 0x14, 0x16, 0x17, 0x1B, 0x1B, 0x1B, 0x1C, 0x1C, 0x1D, 0x1D, 0x1E, 0x1E, 0x1F, + 0x1F, 0x20, 0x21, 0x21, 0x21, 0x22, 0x22, 0x22, 0x23, 0x23, 0x23, 0x24, 0x24, 0x25, 0x25, 0x25, + 0x26, 0x26, 0x26, 0x27, 0x28, 0x28, 0x28, 0x29, 0x29, 0x29, 0x2A, 0x2A, 0x2A, 0x2B, 0x2B, 0x2B, + 0x2C, 0x2C, 0x2C, 0x2D, 0x2D, 0x2D, 0x2E, 0x2E, 0x2E, 0x2F, 0x2F, 0x2F, 0x30, 0x30, 0x30, 0x31, + 0x31, 0x31, 0x32, 0x32, 0x33, 0x34, 0x36, 0x38, 0x3A, 0x3C, 0x3E, 0x40, 0x42, 0x44, 0x46, 0x48, + 0x4A, 0x4C, 0x4E, 0x50, 0x52, 0x54, 0x56, 0x58, 0x5A, 0x5C, 0x5E, 0x62, 0x63, 0x65, 0x66, 0x68, + 0x6A, 0x6B, 0x6D, 0x6E, 0x70, 0x72, 0x73, 0x75, 0x76, 0x78, 0x7A, 0x7B, 0x7D, 0x7E, 0x82, 0x82, + 0x82, 0x83, 0x83, 0x84, 0x84, 0x85, 0x85, 0x86, 0x86, 0x87, 0x87, 0x88, 0x88, 0x89, 0x89, 0x89, + 0x8A, 0x8A, 0x8B, 0x8B, 0x8C, 0x8C, 0x8D, 0x8D, 0x8E, 0x8E, 0x8F, 0x90, 0x90, 0x90, 0x91, 0x91, + 0x92, 0x92, 0x93, 0x93, 0x94, 0x94, 0x95, 0x96, 0x98, 0x9A, 0x9C, 0x9E, 0xA0, 0xA2, 0xA4, 0xA6, + 0xA8, 0xAA, 0xAC, 0xAE, 0xB2, 0xB3, 0xB4, 0xB6, 0xB7, 0xB8, 0xBA, 0xBB, 0xBC, 0xBE, 0xBF, 0xC1, + 0xC2, 0xC3, 0xC5, 0xC6, 0xC7, 0xC9, 0xCA, 0xCB, 0xCD, 0xCE, 0xD0, 0xD1, 0xD2, 0xD4, 0xD5, 0xD6, + 0xD8, 0xD9, 0xDA, 0xDC, 0xDF, 0xDF, 0xE0, 0xE0, 0xE1, 0xE1, 0xE2, 0xE3, 0xE3, 0xE4, 0xE4, 0xE5, + 0xE5, 0xE6, 0xE7, 0xE7, 0xE8, 0xE8, 0xE9, 0xE9, 0xEA, 0xEB, 0xEB, 0xEC, 0xEC, 0xED, 0xED, 0xEE, + 0xEF, 0xEF, 0xF0, 0xF0, 0xF1, 0xF1, 0xF2, 0xF3, 0xF3, 0xF4, 0xF4, 0xF5, 0xF5, 0xF6, 0xF7, 0xF7, + 0xF8, 0xF8, 0xF9, 0xF9, 0xFA, 0xFB, 0xFB, 0xFC, 0xFC, 0xFD, 0xFD, 0xFE, 0x02, 0x05, 0x08, 0x0A + }; /// - /// 用户自定义查值表 + /// 鐢ㄦ埛鑷畾涔夋煡鍊艰〃 /// - /// HSV色彩空间H通道曲线变换节点坐标X轴 - /// HSV色彩空间H通道曲线变换节点坐标Y轴 + /// HSV鑹插僵绌洪棿H閫氶亾鏇茬嚎鍙樻崲鑺傜偣鍧愭爣X杞 + /// HSV鑹插僵绌洪棿H閫氶亾鏇茬嚎鍙樻崲鑺傜偣鍧愭爣Y杞 CImageApplyColorCastCorrect(const std::vector& points_x, const std::vector& points_y); /// - /// 从文件中加载现有查值表数据 + /// 浠庢枃浠朵腑鍔犺浇鐜版湁鏌ュ艰〃鏁版嵁 /// /// CImageApplyColorCastCorrect(const std::string& fileName); + /// + /// 閽堝HSV涓璈閫氶亾鐨凩UT鏍℃鏁版嵁 + /// + /// + CImageApplyColorCastCorrect(const uchar* table_h); + + /// + /// 閫夋嫨璁剧疆HSV涓璈閫氶亾鐨凩UT鏍℃鏁版嵁 + /// + /// + CImageApplyColorCastCorrect(const int type); + + void setlutdata(const int type); + virtual ~CImageApplyColorCastCorrect(void); virtual void apply(cv::Mat& pDib, int side); @@ -44,18 +96,16 @@ public: virtual void apply(std::vector& mats, bool isTwoSide); /// - /// 导出当前查值表数据 + /// 瀵煎嚭褰撳墠鏌ュ艰〃鏁版嵁 /// /// void exportTableData(const std::string& fileName); private: - std::vector caculate(const std::vector& points_x, const std::vector& points_y); - void createTable(const std::vector& points_x, const std::vector& points_y); private: - uint* m_table; + uchar* m_table; }; #endif \ No newline at end of file diff --git a/hgdriver/hgdev/hg_scanner_302.cpp b/hgdriver/hgdev/hg_scanner_302.cpp index 393ece7..4ae1e9f 100644 --- a/hgdriver/hgdev/hg_scanner_302.cpp +++ b/hgdriver/hgdev/hg_scanner_302.cpp @@ -11,9 +11,9 @@ static std::string jsontext2("mon\",\"pos\":0,\"unit\":\"None\",\"title\":\"24\\ static std::string jsontext3("\":1.000000,\"size\":4,\"range\":{\"min\":0.010000,\"max\":5.000000,\"step\":0.499000},\"depend_and\":[\"is-custom-gamma==false\"]},\"grp-3\":{\"category\":\"base\",\"title\":\"\\u56fe\\u50cf\\u5904\\u7406\",\"type\":\"group\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"field\":\"Common\",\"pos\":0,\"visible\":true,\"unit\":\"None\"},\"is-anti-skew\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u81ea\\u52a8\\u7ea0\\u504f\",\"desc\":\"\\u81ea\\u52a8\\u7ea0\\u6b63\\u6b6a\\u659c\\u9001\\u5165\\u7684\\u6587\\u7a3f\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":true,\"default\":true,\"size\":4,\"depend_or\":[\"page!=\\u5bf9\\u6298\"]},\"is-split\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u56fe\\u50cf\\u62c6\\u5206\",\"desc\":\"\\u81ea\\u52a8\\u62c6\\u5206\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_or\":[\"page!=\\u5bf9\\u6298\"]},\"is-erase-black-frame\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u6d88\\u9664\\u9ed1\\u6846\",\"desc\":\"\\u6d88\\u9664\\u6587\\u7a3f\\u8303\\u56f4\\u5916\\u7684\\u9ed1\\u8272\\u80cc\\u666f\",\"type\":\"bool\",\"cur\":true,\"default\":true,\"size\":4},\"bkg-fill-mode\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u80cc\\u666f\\u586b\\u5145\\u65b9\\u5f0f\",\"desc\":\"\\u9009\\u62e9\\u80cc\\u666f\\u586b\\u5145\\u65b9\\u5f0f\",\"type\":\"string\",\"cur\":\"\\u51f8\\u591a\\u8fb9\\u5f62\",\"default\":\"\\u51f8\\u591a\\u8fb9\\u5f62\",\"size\":40,\"range\":[\"\\u51f8\\u591a\\u8fb9\\u5f62\",\"\\u51f9\\u591a\\u8fb9\\u5f62\"],\"depend_or\":[\"is-erase-black-frame==true\"]},\"is-fill-color\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u8272\\u5f69\\u586b\\u5145\",\"desc\":\"\\u542f\\u7528\\u540e\\u9ed1\\u6846\\u90e8\\u5206\\u5c06\\u586b\\u5145\\u4e3a\\u6587\\u7a3f\\u5e95\\u8272\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_and\":[\"is-erase-black-frame==true\"]},\"threshold\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9608\\u503c\",\"desc\":\"\\u6587\\u7a3f\\u5e95\\u8272\\u4e0e\\u9ed1\\u8272\\u80cc\\u666f\\u7070\\u5ea6\\u503c\\u7684\\u5dee\\u503c\\u5927\\u4e8e\\u8be5\\u503c\\uff0c\\u624d\\u4f1a\\u88ab\\u8bc6\\u522b\\u4e3a\\u6587\\u7a3f\",\"type\":\"int\",\"cur\":40,\"default\":40,\"size\":4,\"range\":{\"min\":30,\"max\":50,\"step\":1},\"depend_or\":[\"is-erase-black-frame==true\",\"paper==\\u5339\\u914d\\u539f\\u59cb\\u5c3a\\u5bf8\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\\u81ea\\u52a8\\u88c1\\u5207\",\"is-anti-skew==true\"]},\"anti-noise-level\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u80cc\\u666f\\u6297\\u566a\\u7b49\\u7ea7\",\"desc\":\"\\u80fd\\u591f\\u5bb9\\u5fcd\\u7684\\u80cc\\u666f\\u6742\\u8272\\u6761\\u7eb9\\u7684\\u5bbd\\u5ea6\",\"type\":\"int\",\"cur\":8,\"default\":8,\"size\":4,\"range\":{\"min\":1,\"max\":20,\"step\":1},\"depend_or\":[\"is-erase-black-frame==true\",\"paper==\\u5339\\u914d\\u539f\\u59cb\\u5c3a\\u5bf8\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\\u81ea\\u52a8\\u88c1\\u5207\",\"is-anti-skew==true\"]},\"margin\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u8fb9\\u7f18\\u7f29\\u8fdb\",\"desc\":\"\\u5bfb\\u627e\\u6587\\u7a3f\\u8fb9\\u7f18\\u65f6\\u5bf9\\u8fb9\\u7f18\\u7684\\u4fb5\\u5165\\u7a0b\\u5ea6\",\"type\":\"int\",\"cur\":5,\"default\":5,\"size\":4,\"range\":{\"min\":5,\"max\":30,\"step\":1},\"depend_or\":[\"is-erase-black-frame==true\",\"paper==\\u5339\\u914d\\u539f\\u59cb\\u5c3a\\u5bf8\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\\u81ea\\u52a8\\u88c1\\u5207\",\"==\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\",\"is-anti-skew==true\"]},\"is-dark-sample\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u6df1\\u8272\\u6837\\u5f20\",\"desc\":\"\\u542f\\u7528\\u8be5\\u6a21\\u5f0f\\u9632\\u6b62\\u6df1\\u8272\\u5e95\\u8272\\u7684\\u6587\\u7a3f\\u56fe\\u50cf\\u88ab\\u8bef\\u5904\\u7406\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_and\":[\"page!=\\u5bf9\\u6298\",\"is-erase-black-frame!=true\",\"paper!=\\u5339\\u914d\\u539f\\u59cb\\u5c3a\\u5bf8\",\"!=\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\",\"!=\\u6700\\u5927\\u626b\\u63cf\\u5c3a\\u5bf8\\u81ea\\u52a8\\u88c1\\u5207\",\"is-anti-skew!=true\"]},\"is-anti-permeate\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9632\\u6b62\\u6e17\\u900f\",\"desc\":\"\\u9632\\u6b62\\u80cc\\u9762\\u56fe\\u6848\\u6e17\\u900f\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"permeate-level\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u9632\\u6b62\\u6e17\\u900f\\u7b49\\u7ea7\",\"desc\":\"\\u9009\\u62e9\\u9632\\u6b62\\u6e17\\u900f\\u7684\\u7b49\\u7ea7\",\"type\":\"string\",\"cur\":\"\\u8f83\\u5f31\",\"default\":\"\\u8f83\\u5f31\",\"size\":16,\"range\":[\"\\u5f31\",\"\\u8f83\\u5f31\",\"\\u4e00\\u822c\",\"\\u8f83\\u5f3a\",\"\\u5f3a\"],\"depend_or\":[\"is-anti-permeate==true\"]},\"is-rid-hole-l\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7a7f\\u5b54\\u79fb\\u9664\\u2014\\u5de6\\u4fa7\",\"desc\":\"\\u7a7f\\u5b54\\u5728\\u7eb8\\u5f20\\u4e0a\\u7684\\u5de6\\u4fa7\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"search-hole-range-l\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u5de6\\u4fa7\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"desc\":\"\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"type\":\"float\",\"cur\":0.100000,\"default\":0.100000,\"size\":4,\"range\":{\"min\":0.000000,\"max\":0.500000,\"step\":0.050000},\"depend_or\":[\"is-rid-hole-l==true\"]},\"is-rid-hole-r\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7a7f\\u5b54\\u79fb\\u9664\\u2014\\u53f3\\u4fa7\",\"desc\":\"\\u7a7f\\u5b54\\u5728\\u7eb8\\u5f20\\u4e0a\\u7684\\u53f3\\u4fa7\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"search-hole-range-r\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u53f3\\u4fa7\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"desc\":\"\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"type\":\"float\",\"cur\":0.100000,\"default\":0.100000,\"size\":4,\"range\":{\"min\":0.000000,\"max\":0.500000,\"step\":0.050000},\"depend_or\":[\"is-rid-hole-r==true\"]},\"is-rid-hole-t\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7a7f\\u5b54\\u79fb\\u9664\\u2014\\u4e0a\\u4fa7\",\"desc\":\"\\u7a7f\\u5b54\\u5728\\u7eb8\\u5f20\\u7684\\u4e0a\\u90e8\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"search-hole-range-t\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u4e0a\\u4fa7\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"desc\":\"\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"type\":\"float\",\"cur\":0.100000,\"default\":0.100000,\"size\":4,\"range\":{\"min\":0.000000,\"max\":0.500000,\"step\":0.050000},\"depend_or\":[\"is-rid-hole-t==true\"]},\"is-rid-hole-b\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7a7f\\u5b54\\u79fb\\u9664\\u2014\\u4e0b\\u4fa7\",\"desc\":\"\\u7a7f\\u5b54\\u5728\\u7eb8\\u5f20\\u7684\\u4e0b\\u90e8\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"search-hole-range-b\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u4e0b\\u4fa7\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"desc\":\"\\u7a7f\\u5b54\\u641c\\u7d22\\u8303\\u56f4\\u5360\\u5e45\\u9762\\u6bd4\\u4f8b\",\"type\":\"float\",\"cur\":0.100000,\"default\":0.100000,\"size\":4,\"range\":{\"min\":0.000000,\"max\":0.500000,\"step\":0.050000},\"depend_or\":[\"is-rid-hole-b==true\"]},\"grp-4\":{\"category\":\"base\",\"title\":\"\\u9001\\u7eb8\\u65b9\\u5f0f\\u8bbe\\u7f6e\",\"type\":\"group\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"field\":\"Common\",\"pos\":0,\"visible\":true,\"unit\":\"None\"},\"scan-mode\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u626b\\u63cf\\u5f20\\u6570\",\"desc\":\"\\u9009\\u62e9\\u6307\\u5b9a\\u6570\\u91cf\\u626b\\u63cf\\u6216\\u8fde\\u7eed\\u626b\\u63cf\",\"type\":\"string\",\"cur\":\"\\u8fde\\u7eed\\u626b\\u63cf\",\"default\":\"\\u8fde\\u7eed\\u626b\\u63cf\",\"size\":32,\"range\":[\"\\u8fde\\u7eed\\u626b\\u63cf\",\"\\u626b\\u63cf\\u6307\\u5b9a\\u5f20\\u6570\"]},\"scan-count\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" \\u626b\\u63cf\\u6570\\u91cf\",\"desc\":\"\\u626b\\u63cf\\u6307\\u5b9a\\u6570\\u91cf\",\"type\":\"int\",\"cur\":1,\"default\":1,\"size\":4,\"depend_or\":[\"scan-mode==\\u626b\\u63cf\\u6307\\u5b9a\\u5f20\\u6570\"]},\"direction\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u6587\\u7a3f\\u65b9\\u5411\",\"desc\":\"\\u8bbe\\u7f6e\\u56fe\\u50cf\\u7684\\u65b9\\u5411\",\"type\":\"string\",\"cur\":\"0\\u00b0\",\"default\":\"0\\u00b0\",\"size\":40,\"range\":[\"0\\u00b0\",\"90\\u00b0\",\"180\\u00b0\",\"-90\\u00b0\",\"\\u81ea\\u52a8\\u6587\\u672c\\u65b9\\u5411\\u8bc6\\u522b\\u00b0\"]},\"is-rotate-bkg-180\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u80cc\\u9762\\u65cb\\u8f6c180\\u00b0\",\"desc\":\"\\u80cc\\u9762\\u626b\\u63cf\\u7684\\u56fe\\u50cf\\u65cb\\u8f6c180\\u00b0\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_and\":[\"page!=\\u5355\\u9762\",\"!=\\u5bf9\\u6298\",\"direction!=\\u81ea\\u52a8\\u6587\\u672c\\u65b9\\u5411\\u8bc6\\u522b\\u00b0\"]},\"is-ultrosonic\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u8d85\\u58f0\\u6ce2\\u68c0\\u6d4b\",\"desc\":\"\\u68c0\\u6d4b\\u662f\\u5426\\u51fa\\u73b0\\u53cc\\u5f20\\u9001\\u5165\",\"type\":\"bool\",\"cur\":true,\"default\":true,\"size\":4}}"); //402 -static std::string jsontext4("{\"global\":{\"device_type\":\"G402\",\"option_count\":62},\"restore\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u6062\\u590d\\u9ed8\\u8ba4\\u8bbe\\u7f6e\",\"desc\":\"\\u6062\\u590d\\u9ed8\\u8ba4\\u8bbe\\u7f6e\",\"type\":\"button\",\"cur\":\"button\",\"default\":\"button\",\"size\":0},\"help\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u5e2e\\u52a9\",\"desc\":\"\\u663e\\u793a\\u8f6f\\u4ef6\\u5e2e\\u52a9\\u6587\\u6863\",\"type\":\"button\",\"cur\":\"true\",\"default\":\"true\",\"size\":4},\"grp-1\":{\"category\":\"base\",\"title\":\"\\u57fa\\u672c\\u8bbe\\u7f6e\",\"type\":\"group\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"field\":\"Common\",\"pos\":0,\"visible\":true,\"unit\":\"None\"},\"is-multiout\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u591a\\u6d41\\u8f93\\u51fa\",\"desc\":\"\\u540c\\u65f6\\u8f93\\u51fa\\u591a\\u79cd\\u989c\\u8272\\u6a21\\u5f0f\\u7684\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"multiout-type\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u591a\\u6d41\\u8f93\\u51fa\\u7c7b\\u578b\",\"desc\":\"\\u9009\\u62e9\\u591a\\u6d41\\u8f93\\u51fa\\u7684\\u7c7b\\u578b\",\"type\":\"string\",\"cur\":\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"default\":\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"size\":32,\"range\":[\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"\\u5f69\\u8272+\\u7070\\u5ea6\",\"\\u5f69\\u8272+\\u9ed1\\u767d\",\"\\u7070\\u5ea6+\\u9ed1\\u767d\"],\"depend_or\":[\"is-multiout==true\"]},\"mode\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u989c\\u8272\\u6a21\\u5f0f\",\"desc\":\"\\u9009\\u62e9\\u8272\\u5f69\\u6a21\\u5f0f\",\"type\":\"string\",\"cur\":\"24\\u4f4d\\u5f69\\u8272\",\"default\":\"24\\u4f4d\\u5f69\\u8272\",\"size\":32,\"range\":[\"24\\u4f4d\\u5f69\\u8272\",\"256\\u7ea7\\u7070\\u5ea6\",\"\\u9ed1\\u767d\",\"\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"],\"depend_or\":[\"is-multiout==false\"]},\"binary-threshold\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9ed1\\u767d\\u56fe\\u50cf\\u9608\\u503c\",\"desc\":\"\\u9ad8\\u4e8e\\u8be5\\u9608\\u503c\\u4e3a1\\uff08\\u767d\\uff09\\uff0c\\u4f4e\\u4e8e\\u8be5\\u9608\\u503c\\u4e3a0\\uff08\\u9ed1\\uff09\",\"type\":\"int\",\"cur\":127,\"default\":127,\"size\":4,\"range\":{\"min\":0,\"max\":255,\"step\":1},\"depend_or\":[\"is-multiout==true\",\"mode==\\u9ed1\\u767d\"]},\"reverse-bw\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9ed1\\u767d\\u56fe\\u50cf\\u53cd\\u8272\\u8f93\\u51fa\",\"desc\":\"\\u8f93\\u51fa\\u7684\\u9ed1\\u767d\\u56fe\\u50cf\\u4ee5\\u201c1\\u201d\\u4ee3\\u8868\\u9ed1\\u8272\\uff0c\\u201c0\\u201d\\u4ee3\\u8868\\u767d\\u8272\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_or\":[\"is-multiout==true\",\"mode==\\u9ed1\\u767d\"]},\"filter\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7070\\u5ea6\\u6216\\u9ed1\\u767d\\u56fe\\u50cf - \\u9664\\u8272\\u4e0e\\u589e\\u5f3a\",\"desc\":\"\\u6d88\\u9664\\u6216\\u589e\\u5f3a\\u6307\\u5b9a\\u8272\\u5f69\",\"type\":\"string\",\"cur\":\"\\u4e0d\\u9664\\u8272\",\"default\":\"\\u4e0d\\u9664\\u8272\",\"size\":24,\"range\":[\"\\u4e0d\\u9664\\u8272\",\"\\u9664\\u7ea2\\u8272\",\"\\u9664\\u7eff\\u8272\",\"\\u9664\\u84dd\\u8272\",\"\\u7ea2\\u8272\\u589e\\u5f3a\",\"\\u7eff\\u8272\\u589e\\u5f3a\",\"\\u84dd\\u8272\\u589e\\u5f3a\"],\"depend_and\":[\"is-multiout!=true\",\"mode!=24\\u4f4d\\u5f69\\u8272\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-rid-multiout-re"); -static std::string jsontext5("d\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"24\\u4f4d\\u5f69\\u8272\\u56fe\\u50cf - 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+static std::string jsontext4("{\"global\":{\"device_type\":\"G402\",\"option_count\":63},\"restore\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u6062\\u590d\\u9ed8\\u8ba4\\u8bbe\\u7f6e\",\"desc\":\"\\u6062\\u590d\\u9ed8\\u8ba4\\u8bbe\\u7f6e\",\"type\":\"button\",\"cur\":\"button\",\"default\":\"button\",\"size\":0},\"help\":{\"category\":\"advanced\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u5e2e\\u52a9\",\"desc\":\"\\u663e\\u793a\\u8f6f\\u4ef6\\u5e2e\\u52a9\\u6587\\u6863\",\"type\":\"button\",\"cur\":\"true\",\"default\":\"true\",\"size\":4},\"grp-1\":{\"category\":\"base\",\"title\":\"\\u57fa\\u672c\\u8bbe\\u7f6e\",\"type\":\"group\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"field\":\"Common\",\"pos\":0,\"visible\":true,\"unit\":\"None\"},\"is-multiout\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u591a\\u6d41\\u8f93\\u51fa\",\"desc\":\"\\u540c\\u65f6\\u8f93\\u51fa\\u591a\\u79cd\\u989c\\u8272\\u6a21\\u5f0f\\u7684\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4},\"multiout-type\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u591a\\u6d41\\u8f93\\u51fa\\u7c7b\\u578b\",\"desc\":\"\\u9009\\u62e9\\u591a\\u6d41\\u8f93\\u51fa\\u7684\\u7c7b\\u578b\",\"type\":\"string\",\"cur\":\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"default\":\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"size\":32,\"range\":[\"\\u5f69\\u8272+\\u7070\\u5ea6+\\u9ed1\\u767d\",\"\\u5f69\\u8272+\\u7070\\u5ea6\",\"\\u5f69\\u8272+\\u9ed1\\u767d\",\"\\u7070\\u5ea6+\\u9ed1\\u767d\"],\"depend_or\":[\"is-multiout==true\"]},\"mode\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u989c\\u8272\\u6a21\\u5f0f\",\"desc\":\"\\u9009\\u62e9\\u8272\\u5f69\\u6a21\\u5f0f\",\"type\":\"string\",\"cur\":\"24\\u4f4d\\u5f69\\u8272\",\"default\":\"24\\u4f4d\\u5f69\\u8272\",\"size\":32,\"range\":[\"24\\u4f4d\\u5f69\\u8272\",\"256\\u7ea7\\u7070\\u5ea6\",\"\\u9ed1\\u767d\",\"\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"],\"depend_or\":[\"is-multiout==false\"]},\"binary-threshold\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9ed1\\u767d\\u56fe\\u50cf\\u9608\\u503c\",\"desc\":\"\\u9ad8\\u4e8e\\u8be5\\u9608\\u503c\\u4e3a1\\uff08\\u767d\\uff09\\uff0c\\u4f4e\\u4e8e\\u8be5\\u9608\\u503c\\u4e3a0\\uff08\\u9ed1\\uff09\",\"type\":\"int\",\"cur\":127,\"default\":127,\"size\":4,\"range\":{\"min\":0,\"max\":255,\"step\":1},\"depend_or\":[\"is-multiout==true\",\"mode==\\u9ed1\\u767d\"]},\"reverse-bw\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9ed1\\u767d\\u56fe\\u50cf\\u53cd\\u8272\\u8f93\\u51fa\",\"desc\":\"\\u8f93\\u51fa\\u7684\\u9ed1\\u767d\\u56fe\\u50cf\\u4ee5\\u201c1\\u201d\\u4ee3\\u8868\\u9ed1\\u8272\\uff0c\\u201c0\\u201d\\u4ee3\\u8868\\u767d\\u8272\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_or\":[\"is-multiout==true\",\"mode==\\u9ed1\\u767d\"]},\"filter\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u7070\\u5ea6\\u6216\\u9ed1\\u767d\\u56fe\\u50cf - \\u9664\\u8272\\u4e0e\\u589e\\u5f3a\",\"desc\":\"\\u6d88\\u9664\\u6216\\u589e\\u5f3a\\u6307\\u5b9a\\u8272\\u5f69\",\"type\":\"string\",\"cur\":\"\\u4e0d\\u9664\\u8272\",\"default\":\"\\u4e0d\\u9664\\u8272\",\"size\":24,\"range\":[\"\\u4e0d\\u9664\\u8272\",\"\\u9664\\u7ea2\\u8272\",\"\\u9664\\u7eff\\u8272\",\"\\u9664\\u84dd\\u8272\",\"\\u7ea2\\u8272\\u589e\\u5f3a\",\"\\u7eff\\u8272\\u589e\\u5f3a\",\"\\u84dd\\u8272\\u589e\\u5f3a\"],\"depend_and\":[\"is-multiout!=true\",\"mode!=24\\u4f4d\\u5f69\\u8272\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-rid-multiout-red\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"24\\u4f4d\\u5f69\\u8272\\u56fe\\u50cf - \\u591a\\u6d41\\u8f93\\u51fa\\u9664\\u7ea2\",\"desc\":\"\\u540c\\u65f6\\u8f93\\u51fa\\u5f69\\u8272\\u56fe\\u50cf\\u548c\\u7070\\u5ea6\\u9664\\u7ea2\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":false,"); +static std::string jsontext5("\"default\":false,\"size\":4,\"depend_and\":[\"is-multiout!=true\",\"mode!=256\\u7ea7\\u7070\\u5ea6\",\"!=\\u9ed1\\u767d\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-rid-answer-sheet-red\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"24\\u4f4d\\u5f69\\u8272\\u56fe\\u50cf - 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\\u80cc\\u666f\\u8272\\u5f69\\u6d6e\\u52a8\\u8303\\u56f4\",\"desc\":\"\\u4e0e\\u80cc\\u666f\\u5e95\\u8272\\u504f\\u5dee\\u5728\\u8be5\\u503c\\u8303\\u56f4\\u5185\\u7684\\u989c\\u8272\\uff0c\\u90fd\\u5c06\\u88ab\\u79fb\\u9664\",\"type\":\"int\",\"cur\":20,\"default\":20,\"size\":4,\"range\":{\"min\":1,\"max\":128,\"step\":1},\"depend_or\":[\"is-erase-bkg==true\"]},\"sharpen\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9510\\u5316\\u4e0e\\u6a21\\u7cca\",\"desc\":\"\\u9009\\u62e9\\u9510\\u5316\\u6548\\u679c\\u6216\\u6a21\\u7cca\\u6548\\u679c\",\"type\":\"string\",\"cur\":\"\\u65e0\",\"default\":\"\\u65e0\",\"size\":24,\"range\":[\"\\u65e0\",\"\\u9510\\u5316\",\"\\u8fdb\\u4e00\\u6b65\\u9510\\u5316\",\"\\u6a21\\u7cca\",\"\\u8fdb\\u4e00\\u6b65\\u6a21\\u7cca\"],\"depend_and\":[\"is-multiout!=true\",\"mode!=\\u9ed1\\u767d\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-rid-morr\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u53bb\\u9664\\u6469\\u5c14\\u7eb9\",\"desc\":\"\\u53bb\\u9664\\u56fe\\u50cf\\u4e2d\\u7684\\u6469\\u5c14\\u7eb9\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_and\":[\"is-multiout!=true\",\"mode!=\\u9ed1\\u767d\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-rid-grid\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9664\\u7f51\\u7eb9\",\"desc\":\"\\u53bb\\u9664\\u56fe\\u50cf\\u4e2d\\u7684\\u7f51\\u7eb9\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_and\":[\"is-multiout!=true\",\"mode!=\\u9ed1\\u767d\",\"!=\\u989c\\u8272\\u81ea\\u52a8\\u8bc6\\u522b\"]},\"is-err-extension\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9519\\u8bef\\u6269\\u6563\",\"desc\":\"\\u4ee5\\u70b9\\u9635\\u5f62\\u5f0f\\u6784\\u5efa\\u56fe\\u50cf\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_or\":[\"mode==\\u9ed1\\u767d\"]},\"is-noise-optimize\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\"\\u9ed1\\u767d\\u56fe\\u50cf\\u566a\\u70b9\\u4f18\\u5316\",\"desc\":\"\\u53bb\\u9664\\u56fe\\u50cf\\u4e2d\\u7684\\u5b64\\u7acb\\u9ed1\\u70b9\",\"type\":\"bool\",\"cur\":false,\"default\":false,\"size\":4,\"depend_or\":[\"mode==\\u9ed1\\u767d\"]},\"noise-size\":{\"category\":\"base\",\"readonly\":false,\"affect-img\":false,\"hwonly\":false,\"visible\":true,\"field\":\"Common\",\"pos\":0,\"unit\":\"None\",\"title\":\" 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diff --git a/hgdriver/hgdev/image_process.cpp b/hgdriver/hgdev/image_process.cpp index 8400ee6..a5e379a 100644 --- a/hgdriver/hgdev/image_process.cpp +++ b/hgdriver/hgdev/image_process.cpp @@ -1334,7 +1334,7 @@ namespace hg_imgproc int ret = SCANNER_ERR_OK; std::vector mats(mats_); mats_.clear(); - CImageApplyColorCastCorrect ColorCastCorrect; + CImageApplyColorCastCorrect ColorCastCorrect(1); //cv::imwrite(to_string(i) + "cis_test_image.jpg", mats[i]);