OpenCV-Mat与Base64之间的相互转换

原创
2018/11/23 23:50
阅读数 9.9K

这里我直接给出代码


static std::string base64Decode(const char* Data, int DataByte) {
	//解码表
	const char DecodeTable[] =
	{
		0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
		0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
		62, // '+'
		0, 0, 0,
		63, // '/'
		52, 53, 54, 55, 56, 57, 58, 59, 60, 61, // '0'-'9'
		0, 0, 0, 0, 0, 0, 0,
		0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
		13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, // 'A'-'Z'
		0, 0, 0, 0, 0, 0,
		26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
		39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, // 'a'-'z'
	};
	std::string strDecode;
	int nValue;
	int i = 0;
	while (i < DataByte) {
		if (*Data != '\r' && *Data != '\n') {
			nValue = DecodeTable[*Data++] << 18;
			nValue += DecodeTable[*Data++] << 12;
			strDecode += (nValue & 0x00FF0000) >> 16;
			if (*Data != '=') {
				nValue += DecodeTable[*Data++] << 6;
				strDecode += (nValue & 0x0000FF00) >> 8;
				if (*Data != '=') {
					nValue += DecodeTable[*Data++];
					strDecode += nValue & 0x000000FF;
				}
			}
			i += 4;
		}
		else {
			Data++;
			i++;
		}
	}
	return strDecode;
}


static std::string base64Encode(const unsigned char* Data, int DataByte) {
	//编码表
	const char EncodeTable[] = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
	//返回值
	std::string strEncode;
	unsigned char Tmp[4] = { 0 };
	int LineLength = 0;
	for (int i = 0; i < (int)(DataByte / 3); i++) {
		Tmp[1] = *Data++;
		Tmp[2] = *Data++;
		Tmp[3] = *Data++;
		strEncode += EncodeTable[Tmp[1] >> 2];
		strEncode += EncodeTable[((Tmp[1] << 4) | (Tmp[2] >> 4)) & 0x3F];
		strEncode += EncodeTable[((Tmp[2] << 2) | (Tmp[3] >> 6)) & 0x3F];
		strEncode += EncodeTable[Tmp[3] & 0x3F];
		if (LineLength += 4, LineLength == 76) { strEncode += "\r\n"; LineLength = 0; }
	}
	//对剩余数据进行编码
	int Mod = DataByte % 3;
	if (Mod == 1) {
		Tmp[1] = *Data++;
		strEncode += EncodeTable[(Tmp[1] & 0xFC) >> 2];
		strEncode += EncodeTable[((Tmp[1] & 0x03) << 4)];
		strEncode += "==";
	}
	else if (Mod == 2) {
		Tmp[1] = *Data++;
		Tmp[2] = *Data++;
		strEncode += EncodeTable[(Tmp[1] & 0xFC) >> 2];
		strEncode += EncodeTable[((Tmp[1] & 0x03) << 4) | ((Tmp[2] & 0xF0) >> 4)];
		strEncode += EncodeTable[((Tmp[2] & 0x0F) << 2)];
		strEncode += "=";
	}


	return strEncode;
}

//imgType 包括png bmp jpg jpeg等opencv能够进行编码解码的文件
static std::string Mat2Base64(const cv::Mat &img, std::string imgType) {
	//Mat转base64
	std::string img_data;
	std::vector<uchar> vecImg;
	std::vector<int> vecCompression_params;
	vecCompression_params.push_back(CV_IMWRITE_JPEG_QUALITY);
	vecCompression_params.push_back(90);
	imgType = "." + imgType;
	cv::imencode(imgType, img, vecImg, vecCompression_params);
	img_data = base64Encode(vecImg.data(), vecImg.size());
	return img_data;
}


static cv::Mat Base2Mat(std::string &base64_data) {
	cv::Mat img;
	std::string s_mat;
	s_mat = base64Decode(base64_data.data(), base64_data.size());
	std::vector<char> base64_img(s_mat.begin(), s_mat.end());
	img = cv::imdecode(base64_img, CV_LOAD_IMAGE_COLOR);
	return img;
}

PS:不得不吐槽一句这年头WebSocket转MAT这么复杂,C++后端都隐藏实力去了吗? 图像Base64编码更多查看

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