https://github.com/digitalslidearchive/histomicsdetect
A package for cell detection models using TensorFlow
https://github.com/digitalslidearchive/histomicsdetect
Last synced: about 1 year ago
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A package for cell detection models using TensorFlow
- Host: GitHub
- URL: https://github.com/digitalslidearchive/histomicsdetect
- Owner: DigitalSlideArchive
- License: apache-2.0
- Created: 2021-05-28T13:45:08.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-03-20T13:51:36.000Z (over 3 years ago)
- Last Synced: 2025-03-26T14:01:41.222Z (over 1 year ago)
- Language: Python
- Size: 738 KB
- Stars: 4
- Watchers: 6
- Forks: 1
- Open Issues: 10
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Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
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histomics_detect
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`histomics_detect`_ is a Python package for the building and evaluating cell detection
models. It provides data loading, data augmentation, performance metrics, model building,
visualization, and other utility functions based on Keras and TensorFlow2.
To get started, install it to Python or into a Python virtual environment::
$pip install histomics_detect
To run in Docker, pip install inside the running container.
Developer source code can be downloaded with::
$git clone https://github.com/DigitalSlideArchive/HistomicsDetect.git
See https://github.com/DigitalSlideArchive/HistomicsDetect/tree/main/example for a Jupyter
notebook demonstrating how to build a FasterRCNN model using histomics_detect.