Metadata-Version: 2.1
Name: histomics_detect
Version: 0.0.1
Summary: A TensorFlow 2 package for cell detection
Keywords: histomics_detect,HistomicsDetect
Author-email: "Lee A. D. Cooper" <lee.cooper@northwestern.edu>
Maintainer-email: "Lee A. D. Cooper" <lee.cooper@northwestern.edu>
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: Pillow
Requires-Dist: pooch
Requires-Dist: pyyaml
Requires-Dist: scipy
Requires-Dist: tensorflow-gpu>=2.4
Project-URL: Source, https://github.com/DigitalSlideArchive/HistomicsDetect

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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, clone to your local system and install in developer mode::

$pip install -e ./histomics_detect

To run in Docker, mount the folder containing the cloned repository and then pip install
inside the running container.

See /histomics_detect/example/ for a Jupyter notebook demonstrating how to build a FasterRCNN 
model using histomics_detect.

