Building Computer Vision Projects with OpenCV 4 and C++

Import and use model in OpenCV C++ code

Importing a deep learning model into OpenCV is very easy; we can import models from TensorFlow, Caffe, Torch, and Darknet. All imports are very similar, but, in this chapter, we are going to learn how to import a TensorFlow model. 

To import a TensorFlow model, we can use the readNetFromTensorflow method, which accepts two parameters: the first parameter is the model in protobuf format, and the second is the text graph definition in protobuf format, too. The second parameter is not required, but in our case, we have to prepare our model for inference, and we have to optimize it to import to OpenCV too. Then, we can import the model with the following code:

dnn::Net dnn_net= readNetFromTensorflow