Is tao able to retrain existing caffe model/onnx model?

Please provide the following information when requesting support.

• Hardware (T4/V100/Xavier/Nano/etc)
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)

I want to retrain in tao using existing caffe model/onnx model. Are there any methods that will allow me to achieve this?

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

You can take a look at BYOM from TAO. See Bring Your Own Model (BYOM) - NVIDIA Docs. BYOM supports 3rd party Classification and UNet model.

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