https://github.com/biointelligence-lab/imflow
ImFlow: A better image dataset loader for TensorFlow
Science Score: 13.0%
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Low similarity (9.1%) to scientific vocabulary
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Repository
ImFlow: A better image dataset loader for TensorFlow
Basic Info
- Host: GitHub
- Owner: BioIntelligence-Lab
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://www.intelligentimaging.org/
- Size: 15.9 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
ImFlow
What is ImFlow?
A better image dataset loader for TensorFlow.
ImFlow is an open source Python library for working with large-scale medical imaging datasets in TensorFlow. It extends TensorFlow's capability for dynamically loading imaging data by providing a quick interface for creating tf.Dataset objects from dataframes, CSV files, and manually.
Getting Started
ImFlow is currently not available through pip, but you can manually install it.
Manual Installation
You can manually install ImFlow as follows:
bash
$ git clone https://github.com/UM2ii/imflow
$ pip install imflow/
Documentation
imflow.image_dataset_from_directory
imflow.image_dataset_from_csv
imflow.image_dataset_from_dataframe
imflow.image_dataset_from_paths_and_labels
Roadmap
We are still working on expanding the capabilities of ImFlow. Here's a quick look at what to expect from future versions of ImFlow!
- Complete documentation and usage with examples and tests
- Built-in data preprocessing and augmentation pipelines (with support for custom pipelines)
- Extended support for DICOM and NifTI file formats
- Support for loading bounding boxes and segmentation masks as labels
- Support for 3D imaging data
Owner
- Name: BioIntelligence-Lab
- Login: BioIntelligence-Lab
- Kind: organization
- Repositories: 1
- Profile: https://github.com/BioIntelligence-Lab
GitHub Events
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Dependencies
- nibabel *
- numpy *
- pandas *
- pydicom *
- tensorflow >=2.7
- tensorflow_io >=0.23