Nvidia Tlt Forum

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Nvidia tlt forum. In this article we are going to train a model on publically available kitti dataset using nvidia transfer learning toolkit tlt and deploy it to jetson nano. Ngc registry model download version nvidia iva model name. Transfer learning toolkit is a python based sdk that allows developers looking into faster implementation of industry specific deep learning solutions to leverage optimized ready to use pretrained models built in house by nvidia. Nvidia transfer learning toolkit speedup ai training and create highly accurate and efficient domain specific ai models.

Get started transfer learning toolkit tlt is a python. Ngc registry model list nvidia iva tlt classification download a model. List the available models. For deployment on x86 with nvidia gpu download the tlt converter file for the appropriate cuda tensorrt version to convert the model from uff to tensorrt engine cuda11 tensorrt 7 1 cuda10 2 tensorrt 7 0.

It s ideal for building applications for edge devices workstation appliances and in the cloud. Available models are seen and listed using ngc registry model list nvidia iva tlt downloaded resnet18 and mobilenet v2 using the following commands. When used in conjunction with deepstream sdk this becomes an end to end versatile deep learning solution for iva. Nvidia s clara train sdk.

Next version of transfer learning toolkit with support for conversational ai models will be available in early 2021. I am training frcnn in tlt for resnet18 and mobilenet v2. Nvidia s deepstream sdk framework frees developers to focus on the core deep learning networks and ip rather than designing an end to end framework from scratch. The tlt pre trained models are easily accessible from nvidia ngc.