Any dev here who can help me??
I am using Mavic Air 2, which is only compatible with Mobile SDK (currently I am using its UXSDK). I want to apply the deep learning model in real-time. I am new to this so I don't know much about drone development. I asked for a little info before and a person recommended using TensorFlow lite for this and also told me that the drone feed is coming from FPVWidget.
What I want to know right now is how can I get the feed from the drone and convert it into frames and apply a deep learning model on those frames and display the result on the mobile screen.
Just so you know it's on java, not python (If there is a way to apply python in real-time for MA2. Kindly tell me how to do so).
I am using Mavic Air 2, which is only compatible with Mobile SDK (currently I am using its UXSDK). I want to apply the deep learning model in real-time. I am new to this so I don't know much about drone development. I asked for a little info before and a person recommended using TensorFlow lite for this and also told me that the drone feed is coming from FPVWidget.
What I want to know right now is how can I get the feed from the drone and convert it into frames and apply a deep learning model on those frames and display the result on the mobile screen.
Just so you know it's on java, not python (If there is a way to apply python in real-time for MA2. Kindly tell me how to do so).
