Hi. I am trying to reproduce your model in Tensorflow and Keras, however, I am confused about the use of poseNet. In the first phase, you train poseNet model type = 0, in real-time you load the trained model, but you call it with type = 11, which has not been previously trained, and ask it to predict. I do not understand why we try to predict with a model that has not been trained, nor what was the purpose of training the previous one. I think maybe it is a kind of transfer learning, but I am not sure.
Please help me to understand.
Looking forward to your answers
Hi. I am trying to reproduce your model in Tensorflow and Keras, however, I am confused about the use of poseNet. In the first phase, you train poseNet model type = 0, in real-time you load the trained model, but you call it with type = 11, which has not been previously trained, and ask it to predict. I do not understand why we try to predict with a model that has not been trained, nor what was the purpose of training the previous one. I think maybe it is a kind of transfer learning, but I am not sure.
Please help me to understand.
Looking forward to your answers