TensorBoardPlugin3D - 3D Tensor Visualization
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.
Get started with a quick view of the output data with the cached notebook. 
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.
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.
Get started with a quick view of the output data with the cached notebook.
Documentation
See the documentation for a guide on getting started.
Release files for tensorboard-plugin-3d 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tensorboard_plugin_3d-1.0.3.tar.gz | 52.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorboard_plugin_3d-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:79.8 MB
Release files / tensorboard_plugin_3d-1.0.3.tar.gz
| Download URL | tensorboard_plugin_3d-1.0.3.tar.gz |
|---|---|
| Size | 52.7 MB |
| Tags | Source |
|
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Release files / tensorboard_plugin_3d-1.0.3-py3-none-any.whl
| Download URL | tensorboard_plugin_3d-1.0.3-py3-none-any.whl |
|---|---|
| Size | 27.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
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