message: Run Reshape layer for const input from ONNX models
diff: @@ -140,9 +140,10 @@ Mat getMatFromTensor(opencv_onnx::TensorProto& tensor_proto)
  return blob;
  }
  -void runLayer(Ptr<Layer> layer, const std::vector<Mat>& inputs,
  +void runLayer(LayerParams& params, const std::vector<Mat>& inputs,
  std::vector<Mat>& outputs)
  {
  + Ptr<Layer> layer = LayerFactory::createLayerInstance(params.type, params);
  std::vector<MatShape> inpShapes(inputs.size());
  int ddepth = CV_32F;
  for (size_t i = 0; i < inputs.size(); ++i)
  @@ -669,14 +670,15 @@ void ONNXImporter::populateNet(Net dstNet)
  Mat blob = getBlob(node_proto, constBlobs, 1);
  CV_Assert(blob.type() == CV_32SC1);
  + layerParams.set("dim", DictValue::arrayInt<int*>(
  + blob.ptr<int>(), blob.total() ));
  +
  if (layer_id.find(node_proto.input(0)) == layer_id.end()) {
  - Mat input = getBlob(node_proto, constBlobs, 0);
  - Mat out = input.reshape(0, static_cast<std::vector<int> >(blob));
  - constBlobs.insert(std::make_pair(layerParams.name, out));
  + std::vector<Mat> inputs(1, getBlob(node_proto, constBlobs, 0)), outputs;
  + runLayer(layerParams, inputs, outputs);
  + constBlobs.insert(std::make_pair(layerParams.name, outputs[0]));
  continue;
  }
  - layerParams.set("dim", DictValue::arrayInt<int*>(
  - blob.ptr<int>(), blob.total() ));
  }
  else {
  DictValue shape = layerParams.get("shape");
  @@ -749,8 +751,7 @@ void ONNXImporter::populateNet(Net dstNet)
  {
  inputs[i] = getBlob(node_proto, constBlobs, i);
  }
  - Ptr<Layer> concat = ConcatLayer::create(layerParams);
  - runLayer(concat, inputs, concatenated);
  + runLayer(layerParams, inputs, concatenated);
  CV_Assert(concatenated.size() == 1);
  constBlobs.insert(std::make_pair(layerParams.name, concatenated[0]));
  