我正在尝试从C中的图像创建一个OpenPose数组(请参阅https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/73093e909a884f48df4f0b92d4d8ee6724954ba3/include/openpose/core/array.hpp) .

我加载图像

cv::Mat image = cv::imread(inputImageLocation, CV_LOAD_IMAGE_COLOR);

哪个工作得很好 . 由于我想调用另一个需要OpenCV数组作为输入的OpenCV函数,我必须转换这个 cv::Mat 对象 . 我用 setFrom(const cv::Mat& cvMat);

// Convert Mat to float.
image.convertTo(image, CV_32F);
// Create OpenCV Array from cv::Mat.
op::Array<float> res = op::Array<float>();
res.setFrom(image);

这会导致以下错误:

Error:
Array<T>: T type and cvMat type are different.
Coming from:
- /openpose/src/openpose/core/array.cpp:setFrom():322
- /openpose/src/openpose/core/array.cpp:setFrom():331
terminate called after throwing an instance of 'std::runtime_error'

不太清楚为什么 cvMatT 应该是不同的类 . 我很欣赏任何提示 .


[Update] 以这种方式初始化数组 res 似乎更接近正确的方式:

std::vector<int> dimSizes = std::vector<int>();
dimSizes.push_back(image.size().width);
dimSizes.push_back(image.size().height);
dimSizes.push_back(image.channels());

op::Array<float> res = op::Array<float>(dimSizes);
cv::Mat arrMat = res.getConstCvMat();

std::cout << image.rows << " vs. " << arrMat.rows << std::endl;
std::cout << image.cols << " vs. " << arrMat.cols << std::endl;
std::cout << image.size() << " vs. " << arrMat.size() << std::endl;
std::cout << image.type() << " vs. " << arrMat.type() << std::endl;
std::cout << image.channels() << " vs. " << arrMat.channels() << std::endl;

res.setFrom(image);

这会产生相同的错误,但这里产生的输出是

20 vs. 20
20 vs. 20
[20 x 20] vs. [20 x 20]
21 vs. 21
3 vs. 3

所以OpenPose抱怨cvMat类型不同,但显然它们不是 - 我不太清楚该怎么做 .