NGC Catalog
CLASSIC
Welcome Guest
Containers
Clara Deploy FastIO Variable - NPZ [deprecated]

Clara Deploy FastIO Variable - NPZ [deprecated]

For copy image paths and more information, please view on a desktop device.
Logo for Clara Deploy FastIO Variable - NPZ [deprecated]
Description
Clara Deploy operator reads input FastIO variable (from shared memory) into a Numpy array and outputs the array as a compressed Numpy file (.npz).
Publisher
NVIDIA
Latest Tag
0.8.1-2108.1
Modified
April 4, 2023
Compressed Size
155.66 MB
Multinode Support
No
Multi-Arch Support
No
0.8.1-2108.1 (Latest) Security Scan Results

Linux / amd64

Sorry, your browser does not support inline SVG.

Clara Deploy SDK is being consolidated into Clara Holoscan SDK

More info https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/claradeploy

Clara FastIO Variable Passthrough - Fastio to Npz Converter Operator

This asset requires the Clara Deploy SDK. Follow the instructions on the Clara Ansible page to install the Clara Deploy SDK.

This application is NOT for medical use.

Overview

This application reads FastIO variables from the appropriate FastIO inputs, and outputs one of them as a compressed Numpy file.

Specifically, the operator

  1. reads the fastio variables named segmentation and segmentation_shape,
  2. verifies that the shape of segmentation corresponds to the entries in segmentation_shape (ie. segmentation.shape == segmentation_shape),
  3. and outputs the array in segmentation as a numpy array.

Inputs

Two FastIO variables named:

  • segmentation holding a one-channel 3D volume
  • segmentation_shape holding a 1D 4-entry array corresponding to the shape of segmentation

Outputs

Compressed Numpy file (.npz) in the /output folder.

Directory Structure

The directories in the container are shown below.

/app_fastio_to_npz
 ├── Dockerfile
 ├── main.py
 └── requirements.txt

License

An End User License Agreement is included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the terms and conditions of these licenses.

Suggested Reading

Release Notes, the Getting Started Guide, and the SDK itself are available at the NVIDIA Developer forum.

For answers to any questions you may have about this release, visit the NVIDIA Devtalk forum.