A tool for visualizing latent spaces.
Project description
LatentSpaceVisualizer
The Latent Space Visualizer is an interactive Python notebook that visualizes the latent space of an image dataset. The dataset contains a collection of latent variables that describes a set of labeled images.
Two variables of the latent space are displayed in a 2D scatter plot. When the mouse is positioned near a point in the scatter plot, the image corresponding to that point is displayed to the side.
Getting started
Clone this repository.
git clone https://github.com/compSPI/LatentSpaceVisualizer.git
Change the current working directory to the root of this repository.
cd LatentSpaceVisualizer
Download from the Anaconda Cloud and install the Python environment that has the dependencies required to run the code.
conda env create compSPI/compSPI
Activate the environment.
conda activate compSPI
Install the kernel.
python -m ipykernel install --user --name compSPI --display-name "Python (compSPI)"
Exit the environment.
conda deactivate
Running the notebook
Run jupyter notebook.
jupyter notebook
Open the tutorial notebook latent_space_visualizer.ipynb
.
Change the Python kernel to compSPI
.
Set dataset_file
to an HDF5 file containing the dataset.
dataset_file = '../data/cspi_synthetic_dataset_diffraction_patterns_1024x1040.hdf5'
Run the notebook.
Installation
The project package can be installed by running the following command.
python setup.py install
Code structure
The relevant files and folders in this repository are described below:
-
README.md
: Highlights the usefulness of the Latent Space Visualizer. -
latent_space_visualizer.ipynb
: Provides a tutorial notebook for using the Latent Space Visualizer. -
latent_space_visualizer/
: Contains the Python file required to run the notebook.
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