Open vicente-gonzalez-ruiz opened 5 years ago
TensorFlow allows to implement efficient artificial neural networks to find approximate solutions to complex computational problems such as those related to machine learning. Recently, as can be found here, TensorFlow has been used to compute the Dense Optical Flow.
This issue proposes to implement a motion estimator for MCDWT based on the developments previously described. The main goal here is to minimize the running time of the estimation leveraging on the availability of GPU resources.
TensorFlow allows to implement efficient artificial neural networks to find approximate solutions to complex computational problems such as those related to machine learning. Recently, as can be found here, TensorFlow has been used to compute the Dense Optical Flow.
This issue proposes to implement a motion estimator for MCDWT based on the developments previously described. The main goal here is to minimize the running time of the estimation leveraging on the availability of GPU resources.