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2018-11-26 11:25:52 -0600	received badge	● Enthusiast
2017-11-20 13:32:08 -0600	commented question	Wrong output for dnn using the master branch @dkurt Yes, my mistake. I put the line right after the max pooling instead of right before the reshape. It is working no
2017-11-20 13:30:56 -0600	commented question	Wrong output for dnn using the master branch Yes, my mistake. I put the line right after the max pooling instead of right before the reshape. It is working now, this
2017-11-17 14:19:24 -0600	commented question	Wrong output for dnn using the master branch I did it and got the following error message: OpenCV Error: Assertion failed (ngroups > 0 && inpCn % ngroups
2017-11-17 10:53:51 -0600	asked a question	Wrong output for dnn using the master branch Wrong output for dnn using the master branch Hello everyone, thanks for all the help you gave me so far. If this problem
2017-11-17 10:25:04 -0600	received badge	● Supporter (source)
2017-11-17 09:44:12 -0600	commented answer	Problem with concat in cv::dnn? Thank you so much! It worked for me, but only with the master branch :)
2017-11-17 09:37:32 -0600	marked best answer	Problem with concat in cv::dnn? I have the following code https://pastebin.com/DLfCRjd4 that uses the following model https://drive.google.com/open?id=17Zs... that was created with the following tensorflow code https://pastebin.com/j8q7GFfW It is supposed to receive an 128x128 grayscale image as input, load the network from the file above, and then get the tensor of the last layer, which is a fully-connected layer. However, I'm getting the following error for both Opencv 3.3 and the master branch: OpenCV 3.3 OpenCV Error: Assertion failed (srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == CV_32F && (biasMat.empty() \|\| (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols))) in run, file /home/mauricio/Libraries/OpenCV3.3/opencv-3.3.0/modules/dnn/src/layers/fully_connected_layer.cpp, line 132 terminate called after throwing an instance of 'cv::Exception' what(): /home/mauricio/Libraries/OpenCV3.3/opencv-3.3.0/modules/dnn/src/layers/fully_connected_layer.cpp:132: error: (-215) srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == CV_32F && (biasMat.empty() \|\| (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols)) in function run master branch OpenCV Error: Assertion failed (srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == 5 && (biasMat.empty() \|\| (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols))) in run, file /home/mauricio/Libraries/OpenCVmaster/opencv/modules/dnn/src/layers/fully_connected_layer.cpp, line 152 terminate called after throwing an instance of 'cv::Exception' what(): /home/mauricio/Libraries/OpenCVmaster/opencv/modules/dnn/src/layers/fully_connected_layer.cpp:152: error: (-215) srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == 5 && (biasMat.empty() \|\| (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols)) in function run I found out that the problem is not in the fully connected layer itself, but actually before it. I have the following layers in my model: `Conv2D 1 add 2 Relu 3 Conv2D_1 4 add_1 5 Relu_1 6 MaxPool 7 Conv2D_2 8 add_2 9 Relu_2 10 MaxPool_1 11 Conv2D_3 12 add_3 13 Relu_3 14 MaxPool_2 15 Conv2D_4 16 add_4 17 Relu_4 18 MaxPool_3 19 Conv2D_5 20 add_5 21 Relu_5 22 Reshape 23 Reshape_1 24 concat 25 MatMul 26` The layers "Reshape" and "Reshape_1" have size 1x16384, so the layer "concat" should have size 1x32768, but it shows the same size of the layers it should be concatenating (1x16384). This is why the assertion for the size in the fully connected layer is ... (more)
2017-11-17 09:37:32 -0600	received badge	● Scholar (source)
2017-11-16 16:52:31 -0600	asked a question	Problem with concat in cv::dnn? Problem with concat in cv::dnn? I have the following code https://pastebin.com/DLfCRjd4 that uses the following model ht
2017-10-11 22:30:10 -0600	received badge	● Student (source)
2017-10-11 15:45:08 -0600	commented question	Segmentation fault on readNetFromTensorflow Yes, it works with the master branch. Sorry for the trouble guys, and thank you for the help!
2017-10-11 10:48:36 -0600	asked a question	Segmentation fault on readNetFromTensorflow Segmentation fault on readNetFromTensorflow I'm currently trying to create a .pb file for the InceptionV3 that runs on O
2017-10-05 14:56:02 -0600	commented question	Assertion failed in function total (dnn::forward) Looks like I need to replace tf.add for tf.nn.bias_add, as said in other threads. Just discovered that by dumping input
2017-10-05 10:02:52 -0600	asked a question	Assertion failed in function total (dnn::forward) Assertion failed in function total (dnn::forward) Hello, I'm facing a problem that I have no idea why it is happening.