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Model Visualizer

Project description

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.

nrtk explorer screenshot

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 on the embeddings of the images and their transformations.
  • 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

Explore Hugging Face hosted dataset:

nrtk-explorer --dataset rafaelpadilla/coco2017

Compare inference results for Hugging Face hosted models:

nrtk-explorer --dataset cppe-5 --models qubvel-hf/detr-resnet-50-finetuned-10k-cppe5 ashaduzzaman/detr_finetuned_cppe5

2 COCO format datasets are available at: https://github.com/vicentebolea/nrtk_explorer_datasets/

git clone https://github.com/vicentebolea/nrtk_explorer_datasets.git
nrtk-explorer --dataset ./nrtk_explorer_datasets/coco-od-2017/mini_val2017.json ./nrtk_explorer_datasets/OIRDS_v1_0/oirds.json

CLI flags and options

  • --dataset specify the path to a COCO dataset JSON file, a Hugging Face dataset repository name, or a directory loadable by the Dataset library. You can specify multiple datasets using a space as the separator. Example: nrtk-explorer --dataset ../foo-dir/coco.json cppe-5
  • --repository Specify an existing directory where exported datasets will be saved to and loaded from.
  • --download Cache Hugging Face Hub datasets locally instead of streaming them. When datasets are streamed, nrtk-explorer limits the number of loaded images.
  • --models specify the Hugging Face Hub object detection repository name or a directory loadable by the Transformers library. Load multiple models using space as the separator.
    Example: nrtk-explorer --models hustvl/yolos-tiny facebook/detr-resnet-50
  • -h|--help show the help for the command line options. nrtk-explorer inherits the trame command line options and flags.

nrtk explorer usage

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.
  4. Check package versions in Conda Feedstock meta.yaml file

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