Metadata-Version: 2.1
Name: DiST-Net
Version: 0.1.2
Summary: keras implementation of DiSTNet & utilities for mother machine data analysis with keras
Home-page: https://github.com/jeanollion/distnet
Author: Jean Ollion
Author-email: jean.ollion@polytechnique.org
License: UNKNOWN
Download-URL: https://github.com/jeanollion/distnet/archive/v_01.tar.gz
Keywords: Segmentation,Tracking,SelfAttention,Tensorflow,Keras
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: tensorflow
Requires-Dist: keras-preprocessing
Requires-Dist: edt (==2.0.2)
Requires-Dist: dataset-iterator (>=0.2.1)

# DistNet: Deep Tracking by displacement regression: application to bacteria growing in the __Mother Machine__

[Link to preprint](https://arxiv.org/abs/2003.07790)

This repo contains sources for:
- Distnet model keras/tensorflow implementation (link to pre-print). Tu use: `disnet.keras_models.get_distnet_model()`
- Flexible keras unet implementation / unet++ implementatoin. See: `disnet.keras_models.unet.py`
- A class of dataset_iterator for training: `distnet.data_generator.dy_iterator.py`
- A class of image data generator with specific transformations for mother machine data. See `distnet.data_generator.image_data_generator_mm.py`
- Utilities for models in keras/tensorflow and image processing. See `distnet.utils.pre_processing.py`


