我正在做一些调试,所以我要转储图像文件来查看预测和转换。
我可以从cv :: Mat创建一个caffe :: Datum:
cv::Mat matrix;
// ... initialize matrix
caffe::Datum datum;
caffe::CVMatToDatum(matrix, &datum)
但如何从caffe :: Datum创建一个cv :: Mat?以下代码给出致命异常“Datum not encoded”:
caffe::Datum datum;
// ... initialize datum
cv::Mat matrix;
matrix = DecodeDatumToCVMat(datum, true);
答案 0 :(得分:2)
您可以使用以下功能。
cv::Mat DatumToCVMat(const Datum& datum){
int datum_channels = datum.channels();
int datum_height = datum.height();
int datum_width = datum.width();
string strData = datum.data();
cv::Mat cv_img;
if (strData.size() != 0)
{
cv_img.create(datum_height, datum_width, CV_8UC(datum_channels));
const string& data = datum.data();
std::vector<char> vec_data(data.c_str(), data.c_str() + data.size());
for (int h = 0; h < datum_height; ++h) {
uchar* ptr = cv_img.ptr<uchar>(h);
int img_index = 0;
for (int w = 0; w < datum_width; ++w) {
for (int c = 0; c < datum_channels; ++c) {
int datum_index = (c * datum_height + h) * datum_width + w;
ptr[img_index++] = static_cast<uchar>(vec_data[datum_index]);
}
}
}
}
else
{
cv_img.create(datum_height, datum_width, CV_32FC(datum_channels));
for (int h = 0; h < datum_height; ++h) {
float* ptr = cv_img.ptr<float>(h);
int img_index = 0;
for (int w = 0; w < datum_width; ++w) {
for (int c = 0; c < datum_channels; ++c) {
ptr[img_index++] = static_cast<float>(datum.float_data(img_index));
}
}
}
}
return cv_img;
}
所有代码: http://lab.deepaivision.com/2017/06/opencv-mat-caffe-datum-datum-mat.html
答案 1 :(得分:0)
除了@ ttagu99的答案外,在float部分中还有一个小错误: 该行:
ptr[img_index++] = static_cast<float>(datum.float_data(img_index));
实际上应该是:
int datum_index = (c * datum_height + h) * datum_width + w;
ptr[img_index++] = static_cast<float>(datum->float_data(datum_index));
这确定了将数据写入矩阵的顺序。否则,您只会看到彩色线条。