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int sz[] = { 1, 2, 128, 128}; cv::Mat blob = Mat(4, sz, CV_32F);

cv::Mat img1 = cv::imread("left_img.jpg", IMREAD_GRAYSCALE); cv::Mat img2 = cv::imread("right_img.jpg", IMREAD_GRAYSCALE); img1.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 0)))); img2.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 1)))); net.setInput(blob, "input"); //set the network input Mat result = net.forward(); //compute output

However, this give me error

tensorflow_model_loader': malloc():

What is the correct way of passing two channels blob into dnn::Net?

smallbin double linked list corrupted: 0x00000000024d1490 *

int sz[] = { 1, 2, 128, 128}; cv::Mat blob = Mat(4, sz, CV_32F);

cv::Mat img1 = cv::imread("left_img.jpg", IMREAD_GRAYSCALE); cv::Mat img2 = cv::imread("right_img.jpg", IMREAD_GRAYSCALE); img1.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 0)))); img2.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 1)))); net.setInput(blob, "input"); //set the network input Mat result = net.forward(); //compute output

However, this give me error

What is the correct way of passing two channels blob into dnn::Net?

I want to pass 2 dimension channels into the dnn::Net, but blobFromImage do not support it, so I try to do it by myself

int sz[] = { 1, 2, 128, 128};
cv::Mat blob = Mat(4, sz, CV_32F);
CV_32F);
  
cv::Mat img1 = cv::imread("left_img.jpg", IMREAD_GRAYSCALE);
cv::Mat img2 = cv::imread("right_img.jpg", IMREAD_GRAYSCALE);
img1.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 0))));
img2.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 1))));
net.setInput(blob, "input"); //set the network input
Mat result = net.forward(); //compute outputoutput

However, this give me error

tensorflow_model_loader': malloc(): smallbin double linked list corrupted: 0x00000000024d1490 ***

What is the correct way of passing two channels blob into dnn::Net?

I want to pass 2 dimension channels into the dnn::Net, but blobFromImage do not support it, so I try to do it by myself

int sz[] = { 1, 2, 128, 128};
cv::Mat blob = Mat(4, sz, CV_32F);

cv::Mat img1 = cv::imread("left_img.jpg", IMREAD_GRAYSCALE);
cv::Mat img2 = cv::imread("right_img.jpg", IMREAD_GRAYSCALE);
img1.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 0))));
img2.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 1))));
net.setInput(blob, "input"); //set the network input
Mat result = net.forward(); //compute output

However, this give me error

tensorflow_model_loader': malloc(): smallbin double linked list corrupted: 0x00000000024d1490 ***

What is the correct way of passing two channels blob into dnn::Net?

I want to pass 2 dimension channels into the dnn::Net, but blobFromImage do not support it, so I try to do it by myself

int sz[] = { 1, 2, 128, 128};
cv::Mat blob = Mat(4, sz, CV_32F);

cv::Mat img1 = cv::imread("left_img.jpg", IMREAD_GRAYSCALE);
cv::Mat img2 = cv::imread("right_img.jpg", IMREAD_GRAYSCALE);
img1.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 0))));
img2.copyTo(Mat(img.rows, img.cols, CV_32F, blob.ptr((0, 1))));
net.setInput(blob, "input"); //set the network input
Mat result = net.forward(); //compute output

However, this give me error

tensorflow_model_loader': malloc(): smallbin double linked list corrupted: 0x00000000024d1490 ***

What is the correct way of passing two channels blob into dnn::Net?