How to infer stride, padding information of a convolution layer after importing from a frozen graph (readNetFromTensorFlow)
Hi, wanted to know exactly what structure contains the padding and the stride information that opencv dnn infers after reading a frozen tensorflow graph. I am able to retrieve weights of the kernels and the biases but am not able to find this information.
Hi. Have a look at this thread -> http://answers.opencv.org/question/19... Possible to use @berak suggestion to use .pbtxt file for parsing stride and padding information. You can follow the top answer in following thread for converting .pb to .pbtxt file http://answers.opencv.org/question/17...