I was trying Object detection,
- download the dusty jetson inference download the code
- capture my input and annotation
- train the model using ssd-MobilenetV2
And get 5.89 loss is good checkpoint for my concern
- so I was convert onnx file
- finally detect the object using
This process work in general coco dataset ! but custom dataset all process are good and stream the tensorRT video but didnot detect the my custom object
What is the reason! And suggest any solution guys!
Hey @VK01 ! I also came across this problem even though it has worked in the past. May I know if you were able to fix it?
Are you still using jetson inference? I am using labelimg to annotate ‘Tea bottle’ and ‘Soya Bottle’ but after training and exporting it to onnx I encountered the same issue as you previously. It detects coco dataset and changes the names to ‘Tea bottle’ and ‘Soya Bottle’. May I know what to do in order to fix this? I am training a custom dataset and only want to detect Tea and Soya bottle but not the coco dataset.
Ok! I am still using jetson nano
Camera capture /dev/video0 command
i was annotating work instant of jetson board using above the command
already develop ‘camera capture code’ in dusty jetson inference github
Try this video Jetson AI Fundamentals - S3E5 - Training Object Detection Models - YouTube buddy!
Check your data and model path, check data and label format
Thanks alot! I’ll try these out and see if it fixes the problem.