I am following Dusty’s tutorials about using Jetson-inference (thank you in advance, you’re a lifesaver!) and I was just wondering about the custom retrained models. I have coded my own python script that detects birds and people on a boat, and then tracks the birds by moving some stepper motors and to keep it within frame. I have a working python script that uses the webcam and detects the birds, and outputs values, but I have just retrained my own model with just pictures of people and birds. How do I call the custom re-trained model in my python function?
DetectNet code (pretty much the same)
Which calls the ssd-mobilenet-v2 model - how do I call my custom re-trained model? (ssd-mobilenet-onnx). I’ve also followed the tutorial here jetson-inference/pytorch-ssd.md at master · dusty-nv/jetson-inference · GitHub.
Another question, the re-training tutorial uses the ssd-mobilenet-v1 model, is it possible to retrain the ssd-mobilenet-v2 model instead? And how would you go abouts doing this?