The picture is still a bit blur.
When I enter the ResNet18 (or ResNet10) directly into the DIGITS, its complains. I also not sure what other params to set for the learning (loss function etc).
I agree the better option, as you suggested, is to use DetectNet. I took the dog detection example, and it runs fine on images. But when I try to integrate it with DeepStream, nothing is detected (I did my best finding good dog movies :-). I tried playing with the params (for example net-scale-factor, resolution etc) , as well as using different Bounding Box Parse function - no success. I put some debug printing in my BB parse functions, the numbers for the coverage does not make sense, so its something with either the network or the stream definition.
Any ideas? Is there a working sample of how to train Object detection network, and then run it in DS ? I tried also to use some params from https://github.com/AastaNV/DeepStream, but it looks a bit old and not working smoothly.