How can I get the output of each layer?

[idata]

Now, I am trying to run the python version mtcnn(https://github.com/DuinoDu/mtcnn) which I am going to use it for face detection on NCS, I successfully compiled the graph file. From the demo on the github, it needs the output of different layer, like the conv4-2, conv6-2, conv6-3 and prob1 .etc, how can I get the result of each layer. I try to compile it without the -in and -on option, but the output of the graph result are the same, is there any examples running the mtcnn?

[idata]

@fengping I assume that you are using one of the caffe models listed in the GitHub link you provided. To get the output of a layer, you can generate a graph file specifying the output node that you desire.

Using one of the prototxt files in the GitHub link as an example:

name: "PNet"

input: "data"input_dim: 1input_dim: 3input_dim: 12input_dim: 12

layer {

name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 }….

You can use this command to generate a graph file that outputs at the layer "conv1": mvNCCompile -w det1.caffemodel det1.prototxt -on conv1 -s 12

More information on the mvNCCompile tool can be found at: https://movidius.github.io/ncsdk/tools/compile.html.

[idata]

@Tome_at_Intel

yes, if I want to get the result of each layer, I shall compile it to generate different graphs, and load it one by one to get the result of each layer, right?

[idata]

@Tome_at_Intel

I tried the way you mentioned, but the out of graph.GetResult() is quite different result with PNet.forward(). So, I can't match the result to the demo in mtcnn.

[idata]

Hi, as mentioned by @fengqing , the graph.GetResult() is different from what OpenCV cv2.dnn library that using net.forward().

I am unsure what is the output, userobj = graph.GetResult() is? Its data type etc? What is the inference result as stated in https://movidius.github.io/ncsdk/ncapi/ncapi1/py_api/Graph.GetResult.html

Cheers :)