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I have a caffe model containing a Slice Layer. The input dimension is (1, 96, 128, 128)

layer {
  name: "63_64"
  type: "Slice"
  bottom: "62"
  top: "63"
  top: "64"
  slice_param {
     slice_point: 48
     axis: 1
   }
}

and I want to get both resulting arrays (63 & 64). So what I thought I had to do was the following:

model = cv2.dnn.readNetFromCaffe("model.prototxt", "model.caffemodel")
model.setInput(blob)
r = model.forward("63_64"])

Which should have given me two matrices with a dimension of (1, 48, 128, 128), but I only got the first one. How do I access the second matrix

I have a caffe model containing a Slice Layer. The input dimension is (1, 96, 128, 128)

layer {
  name: "63_64"
  type: "Slice"
  bottom: "62"
  top: "63"
  top: "64"
  slice_param {
     slice_point: 48
     axis: 1
   }
}

and I want to get both resulting arrays (63 & 64). So what I thought I had to do was the following:

model = cv2.dnn.readNetFromCaffe("model.prototxt", "model.caffemodel")
model.setInput(blob)
r = model.forward("63_64"])
model.forward(["63_64"])

Which should have given me two matrices with a dimension of (1, 48, 128, 128), but I only got the first one. How do I access the second matrix