I have installed JP441 and the Jetson-Inference on my nano.
The tutorial and your videos are very good.
I would like retrain a network with meteor scatter spectrograms for the semantic segmentation. The jetson nano is connected to a PC via a HDMI-USB3 link, so that segnet-camera for example can fetch the incoming echoes.
Now I have retrained the cat/dog example. I trained 10 epochs. Everything went without problems.
However the retrained resnet18 detects everything (even a full screen cat from the internet) as 67% dog.
Using SegNet camera everything is red. I would expect, that only one class is red.
This was the command line:
willi@willis:~/jetson-inference/python/training/classification$ imagenet --model=models/cat_dog/resnet18.onnx --labels=data/cat_dog/labels.txt --input_blob=input_0 --output_blob=output_0 /dev/video1
I tested ImageNet and SegNet, see images.
It would be very nice if you could help me.