dadin852
dadin852
I fix this by simply restarting Jetson Nano with the camera plugged in!
Next, go to these reference : https://youtu.be/PukcRMN-Hs0 https://youtu.be/gOvvzS1-RuI https://blog.csdn.net/qq_43268106/article/details/127139216 Finally, we need to change output name to Convolution, instead of Permute :   Thank @xiang-wuu so much...
Seems that you're using Premute outputs. Would you try to set Convolution as outputs? 
Open your .param in Netron website :  Then you'll see the convolution output names. For your model, you may use : "/model.77/m.0/Conv_output_0" instead of "output" "/model.77/m.1/Conv_output_0" instead of "286"...
train.py for img-size 640 train_aux.py for img-size 1280