OpenPose - Create Array from Image
I'm trying to create an OpenPose Array (see https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/73093e909a884f48df4f0b92d4d8ee6724954ba3/include/openpose/core/array.hpp) from an image in C++.
I load the image with
cv::Mat image = cv::imread(inputImageLocation, CV_LOAD_IMAGE_COLOR);
which works just fine. Since I want to call another OpenCV function that requires an OpenCV Array as input, I have to convert this cv::Mat object. I used 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);
This causes the following error:
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'
Not quite sure why cvMat and T are supposed to be different classes here. I'd appreciate any hints.
[Update] Initializing the Array res this way seems to be closer to the correct way:
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);
This yields the same error, but the output produced here is
20 vs. 20
20 vs. 20
[20 x 20] vs. [20 x 20]
21 vs. 21
3 vs. 3
So OpenPose complains about the cvMat types being different, but apparently they are not - I'm not quite sure what to make of this.
c++ opencv openpose
asked Nov 20 at 16:32
grep
12
add a comment |
I'm trying to create an OpenPose Array (see https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/73093e909a884f48df4f0b92d4d8ee6724954ba3/include/openpose/core/array.hpp) from an image in C++.
I load the image with
cv::Mat image = cv::imread(inputImageLocation, CV_LOAD_IMAGE_COLOR);
which works just fine. Since I want to call another OpenCV function that requires an OpenCV Array as input, I have to convert this cv::Mat object. I used 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);
This causes the following error:
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'
Not quite sure why cvMat and T are supposed to be different classes here. I'd appreciate any hints.
[Update] Initializing the Array res this way seems to be closer to the correct way:
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);
This yields the same error, but the output produced here is
20 vs. 20
20 vs. 20
[20 x 20] vs. [20 x 20]
21 vs. 21
3 vs. 3
So OpenPose complains about the cvMat types being different, but apparently they are not - I'm not quite sure what to make of this.
c++ opencv openpose
asked Nov 20 at 16:32
grep
12
add a comment |
I'm trying to create an OpenPose Array (see https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/73093e909a884f48df4f0b92d4d8ee6724954ba3/include/openpose/core/array.hpp) from an image in C++.
I load the image with
cv::Mat image = cv::imread(inputImageLocation, CV_LOAD_IMAGE_COLOR);
which works just fine. Since I want to call another OpenCV function that requires an OpenCV Array as input, I have to convert this cv::Mat object. I used 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);
This causes the following error:
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'
Not quite sure why cvMat and T are supposed to be different classes here. I'd appreciate any hints.
[Update] Initializing the Array res this way seems to be closer to the correct way:
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);
This yields the same error, but the output produced here is
20 vs. 20
20 vs. 20
[20 x 20] vs. [20 x 20]
21 vs. 21
3 vs. 3
So OpenPose complains about the cvMat types being different, but apparently they are not - I'm not quite sure what to make of this.
c++ opencv openpose
asked Nov 20 at 16:32
grep
12
I'm trying to create an OpenPose Array (see https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/73093e909a884f48df4f0b92d4d8ee6724954ba3/include/openpose/core/array.hpp) from an image in C++.
I load the image with
cv::Mat image = cv::imread(inputImageLocation, CV_LOAD_IMAGE_COLOR);
which works just fine. Since I want to call another OpenCV function that requires an OpenCV Array as input, I have to convert this cv::Mat object. I used 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);
This causes the following error:
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'
Not quite sure why cvMat and T are supposed to be different classes here. I'd appreciate any hints.
[Update] Initializing the Array res this way seems to be closer to the correct way:
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);
This yields the same error, but the output produced here is
20 vs. 20
20 vs. 20
[20 x 20] vs. [20 x 20]
21 vs. 21
3 vs. 3
So OpenPose complains about the cvMat types being different, but apparently they are not - I'm not quite sure what to make of this.
c++ opencv openpose
c++ opencv openpose
asked Nov 20 at 16:32
grep
12
asked Nov 20 at 16:32
grep
12
edited Nov 21 at 9:50
asked Nov 20 at 16:32
grep
12
asked Nov 20 at 16:32
grep
12
asked Nov 20 at 16:32
grep
12
12
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