Hello guys. As the title suggests, I am interested in extracting features from an egomotion image (an image taken from a car’s front dashcam). At the moment, I am using Resnet-50 but I don’t know whether this is the best one for this purpose. Honestly, I don’t understand how you would choose the appropriate neural network for this purpose.
Some more context:
I am building a machine learning model for driving-related purposes. I want to predict the trajectory of objects that my car sees. For now, my plan is to extract features from the image at every time step and input those to an RNN encoder. With that in mind, what neural network is most likely to extract appropriate features. After extracting the features, I push them through a single fully-connected layer before going to the RNN encoder stage.