Resource
U-Net allows for seamless segmentation of 2D images, with high accuracy and performance.
Use the NGC CLI to download:
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The following section lists the requirements that you need to meet in order to start training the UNet Medical model.
Requirements
This repository contains Dockerfile which extends the TensorFlow NGC container and encapsulates some dependencies. Aside from these dependencies, ensure you have the following components:
- NVIDIA Docker
- TensorFlow 21.02-tf2-py3 NGC container with Tensorflow 2.2 or later
- GPU-based architecture:
For more information about how to get started with NGC containers, see the following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning Documentation:
- Getting Started Using NVIDIA GPU Cloud
- Accessing And Pulling From The NGC container registry
- Running TensorFlow
For those unable to use the TensorFlow NGC container, to set up the required environment or create your own container, see the versioned NVIDIA Container Support Matrix.