nrtk-explorer 0.5.0

Model Visualizer

NRTK EXPLORER

NRTK Explorer is a web application for exploring image datasets. It provides insights of a image dataset in COCO format and it evaluate image transformation and perturbation resilience of object recognition DL models. It is built using trame by the kitware team.

Features

• Explore image datasets in COCO format.
• Apply parametrized image degradation (such as blur) to the images.
• Benchmark dataset resilience with a differential PCA|UMAP analysis of the embeddings of the images and its transformation.
• Evaluate object detection DL models in both the source images and its transformations.
• When possible it will attempt to utilize the user GPU as much as possible to speedup its computations.

Installing

Install it from pypi:

pip install nrtk-explorer

Usage

# get some sample data
git clone https://github.com/vicentebolea/nrtk_explorer_datasets.git

# Run the application on given dataset
nrtk-explorer --dataset ./nrtk_explorer_datasets/OIRDS_v1_0/oirds.json

Some COCO image datasets available at: https://github.com/vicentebolea/nrtk_explorer_datasets/

CLI flags and options

• -h|--help show the help for the command line options, it inherit trame command line options and flags.
• --dataset specify the path to a json file describing a COCO image dataset. You can specify multiple COCO datasets using a comma , as a separator. Example usage: nrtk_explorer --dataset /foo-dir/coco.json, ../bar-dir/baz.json

Contribute to NRTK_EXPLORER

git clone https://github.com/Kitware/nrtk-explorer.git
cd nrtk-explorer
python3 -m venv .venv
source .venv/bin/activate
pip install -U pip
pip install -e '.[dev]'
pytest .

For more details on setting up a development environment see DEVELOPMENT docs.

Create release

1. Merge main to release with a merge commit.
2. Run "Create Release" workflow with workflow from release branch.
3. Merge release to main with a merge commit.