Skip to main content

TensorBoardPlugin3D - 3D Tensor Visualization

PyPI Build and Test DOI Open in Colab

Introduction

TensorBoardPlugin3D is an open-source TensorBoard plugin that supports visualizing 3D output within the TensorBoard application, JupyterLab, Google Colab, and SageMaker.

Installation

Install the PyPI package:

pip install tensorboard-plugin-3d

MONAI Notebook Examples

The Spleen Segmentation 3D tutorial shows how to integrate MONAI into an existing PyTorch medical DL program and demonstrates using TensorBoardPlugin3D to view an image with a label to show the input data (shown in the first image) or to compare the model output with the input. Open in Colab

Get started with a quick view of the output data with the cached notebook. Open in Colab Spleen Image with Label Spleen Output

The UNet Segmentation 3D Ignite notebook provides a simple, fast-running notebook with demo data. If you're looking for a quick way to get started and see the plugin in action this is a great place to start. Open in Colab UNet Output

The BRATS Segmentation 3D notebook demonstrates brain tumor 3D segmentation with MONAI. The tutorial shows how to construct a training workflow of multi-labels segmentation task. Open in Colab

Get started with a quick view of the output data with the cached notebook. Open in Colab

Documentation

See the documentation for a guide on getting started.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tensorboard_plugin_3d-1.0.3.tar.gz (52.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tensorboard_plugin_3d-1.0.3-py3-none-any.whl (27.1 MB view details)

Uploaded Python 3

File details

Details for the file tensorboard_plugin_3d-1.0.3.tar.gz.

File metadata

  • Download URL: tensorboard_plugin_3d-1.0.3.tar.gz
  • Upload date:
  • Size: 52.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for tensorboard_plugin_3d-1.0.3.tar.gz
Algorithm Hash digest
SHA256 bce03aa60f8cc81a689c10ca8dba6418a0e9271455c193ad21948109ca3ec26a
MD5 b64e05f477805f2028e51121e6936894
BLAKE2b-256 d5f6284cc16260b4bbaeaad68c7ee8d0d9aa52619a73254cd1436e0f3ac47754

See more details on using hashes here.

File details

Details for the file tensorboard_plugin_3d-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for tensorboard_plugin_3d-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f14dfe5394e2c676471648a4c80608c7da44c07aac7df982493420bd570de483
MD5 5b0cd11b3f86bf38c03aafccc6ba2cf0
BLAKE2b-256 a5ffe1c497115af873937d7fa4cfe47fa6d3b9c58801c098a3a3e07b152e3814

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.0.3 This release

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.1

2 files

0.0.2

2 files

0.0.1

1 file

0.0.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page