Computer Vision / Video Analytics

Train and Deploy Deep Learning Applications with NVIDIA DIGITS 5 and New TensorRT

AI-Generated Summary

  • NVIDIA DIGITS 5 introduces an image segmentation workflow for partitioning images into regions of interest and a Model Store for downloading pre-trained models that can decrease training time and improve model accuracy.
  • NVIDIA TensorRT is a high-performance deep learning inference engine for production deployment of image classification, segmentation, and object detection applications that delivers up to 14x more images per second than CPU-only inference.
  • Trained models can be deployed to cloud, PC, embedded, or automotive GPU platforms using the TensorRT inference engine to maximize throughput and efficiency.

Next Steps

  • Download NVIDIA DIGITS 5 to start training neural networks for image classification, segmentation, and object detection.
  • Download NVIDIA TensorRT to deploy trained models with high-performance inference.
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Today we are announcing the production release of NVIDIA DIGITS 5 and  NVIDIA TensorRT.
DIGITS is an interactive deep neural network training application for developers to rapidly train highly accurate neural networks for image classification, segmentation and object detection.
Trained models can be deployed to the cloud, PC, embedded or automotive GPU platforms, with TensorRT inference engine that maximizes throughput and efficiency.
 

Highlights from this release:

  • NVIDIA DIGITS 5 introduces image segmentation workflow for partitioning images into regions of interest, and Model Store for downloading pre-trained models that can decrease training time and improve model accuracy.
  • NVIDIA TensorRT is a high performance deep learning inference engine for production deployment of applications such as image classification, segmentation, and object detection that delivers up to 14x more images/sec than CPU-only inference.

DIGITS 5 and TensorRT are available as a free download to the members of the NVIDIA Developer Program.

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