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2019-01-28 06:54:57 -0600 | asked a question | Strange results while using xphoto::LearningBaseWB Strange results while using xphoto::LearningBaseWB Hello! I'm trying to use xphoto::LearningBaseWB model from this tutor |
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2018-03-18 04:16:37 -0600 | commented question | DNN assertion failed in getMemoryShapes @berak , @dkurt Thank you, guys. I found a problem. Error, actually was in the number of channels and decided to replace |
2018-03-18 04:16:04 -0600 | commented question | DNN assertion failed in getMemoryShapes Thank you, guys. I found a problem. Error, actually was in the number of channels and decided to replace the lines: x = |
2018-03-16 02:07:50 -0600 | commented question | DNN assertion failed in getMemoryShapes No, all images are 1-channel and network layers expect the same |
2018-03-15 18:25:05 -0600 | commented question | DNN assertion failed in getMemoryShapes Edited the code in the question. As a result, normalizing is the following code: Mat fimg(img.size(), CV_32FC1); for (i |
2018-03-15 18:20:01 -0600 | commented question | DNN assertion failed in getMemoryShapes Edited the code in the question. As a result, normalizing is the following code: Mat fimg(img.size(), CV_32FC1); for (i |
2018-03-15 18:19:43 -0600 | commented question | DNN assertion failed in getMemoryShapes Edited the code in the question. As a result, normalizing is the following code: Mat fimg(img.size(), CV_32FC1); for (i |
2018-03-15 18:17:12 -0600 | received badge | ● Editor (source) |
2018-03-15 18:17:12 -0600 | edited question | DNN assertion failed in getMemoryShapes DNN assertion failed in getMemoryShapes Hello! I have a Tensorflow model with the following input: x = tf.placehold |
2018-03-15 13:48:02 -0600 | asked a question | DNN assertion failed in getMemoryShapes DNN assertion failed in getMemoryShapes Hello! I have a Tensorflow model with the following input: x = tf.placehold |