Tensorboard and ability to get per image loss

I wanted to know is it possible to get per image loss as it helps in finding failure cases for the model and also can we see tensorboard logs ?

Which network will you train, classification or detection(detectnet_v2,yolo,ssd,faster-rcnn,dssd,retinanet)?


For frcnn, currently users can only run tlt-evaluate against the tlt model to check the loss(or mAP) info.
Next release, it will implement evaluation directly during training, similar to detectnet_v2, yolo, ssd networks.

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Hello @Morganh, will the next release also implement tensorboard event logging for faster-rcnn? Thanks.

No, it is not supported for next release.

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