Hi Pytorch forum! Recently I came up with an idea for my side project which is using depth estimation to build a mini car toys that can keep itself away from obstacles but I don’t know what’s a proper approach to solve real world problem in this field? Is that an ideal way to just clone the best method out there and fine tune to fit this problem or read through paper proposed method and write and train model from scratch?