deepflash2 - pypi Package Compare versions

Comparing version 0.2.1 to 0.2.2

deepflash2.egg-info/PKG-INFO

 Metadata-Version: 2.1
 Name: deepflash2
-Version: 0.2.1
+Version: 0.2.2
 Summary: A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
@@ -10,3 +10,2 @@ Home-page: https://github.com/matjesg/deepflash2
 Keywords: unet,deep learning,semantic segmentation,microscopy,fluorescent labels
-Platform: UNKNOWN
 Classifier: Development Status :: 3 - Alpha
@@ -30,7 +29,5 @@ Classifier: Intended Audience :: Developers
 
-![CI](https://github.com/matjesg/deepflash2/workflows/CI/badge.svg) 
 [![PyPI](https://img.shields.io/pypi/v/deepflash2?color=blue&label=pypi%20version)](https://pypi.org/project/deepflash2/#description) 
 [![PyPI - Downloads](https://img.shields.io/pypi/dm/deepflash2)](https://pypistats.org/packages/deepflash2)
 [![Conda (channel only)](https://img.shields.io/conda/vn/matjesg/deepflash2?color=seagreen&label=conda%20version)](https://anaconda.org/matjesg/deepflash2)
-[![Build fastai images](https://github.com/matjesg/deepflash2/workflows/Build%20deepflash2%20images/badge.svg)](https://github.com/matjesg/deepflash2)
 [![GitHub stars](https://img.shields.io/github/stars/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)
@@ -181,3 +178,1 @@ [![GitHub forks](https://img.shields.io/github/forks/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)
 The ImagJ-Macro is available [here](https://raw.githubusercontent.com/matjesg/DeepFLaSH/master/ImageJ/Macro_create_maps.ijm).
-
-

deepflash2.egg-info/requires.txt

@@ -5,2 +5,3 @@ pip
 zarr>=2.0
+tifffile==2022.4.8
 scikit-image
@@ -7,0 +8,0 @@ imageio

deepflash2.egg-info/SOURCES.txt

@@ -23,5 +23,4 @@ CONTRIBUTING.md
 deepflash2.egg-info/dependency_links.txt
-deepflash2.egg-info/entry_points.txt
 deepflash2.egg-info/not-zip-safe
 deepflash2.egg-info/requires.txt
 deepflash2.egg-info/top_level.txt

deepflash2/__init__.py

@@ -1,1 +0,1 @@
-__version__ = "0.2.1"
+__version__ = "0.2.2"

deepflash2/learner.py

@@ -240,3 +240,3 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/03_learner.ipynb (unless otherwise specified).
         log_dir.mkdir(exist_ok=True, parents=True)
-        cbs = self.cbs.append(CSVLogger(fname=log_dir/log_name))
+        cbs = self.cbs + [CSVLogger(fname=log_dir/log_name)]
         self.learn = Learner(dls, model,
@@ -247,3 +247,3 @@ metrics=self.metrics,
                              opt_func=_optim_dict[self.optim],
-                             cbs=self.cbs)
+                             cbs=cbs)
         self.learn.model_dir = self.ensemble_dir.parent/'.tmp'
@@ -250,0 +250,0 @@ if self.mixed_precision_training: self.learn.to_fp16()

PKG-INFO

 Metadata-Version: 2.1
 Name: deepflash2
-Version: 0.2.1
+Version: 0.2.2
 Summary: A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
@@ -10,3 +10,2 @@ Home-page: https://github.com/matjesg/deepflash2
 Keywords: unet,deep learning,semantic segmentation,microscopy,fluorescent labels
-Platform: UNKNOWN
 Classifier: Development Status :: 3 - Alpha
@@ -30,7 +29,5 @@ Classifier: Intended Audience :: Developers
 
-![CI](https://github.com/matjesg/deepflash2/workflows/CI/badge.svg) 
 [![PyPI](https://img.shields.io/pypi/v/deepflash2?color=blue&label=pypi%20version)](https://pypi.org/project/deepflash2/#description) 
 [![PyPI - Downloads](https://img.shields.io/pypi/dm/deepflash2)](https://pypistats.org/packages/deepflash2)
 [![Conda (channel only)](https://img.shields.io/conda/vn/matjesg/deepflash2?color=seagreen&label=conda%20version)](https://anaconda.org/matjesg/deepflash2)
-[![Build fastai images](https://github.com/matjesg/deepflash2/workflows/Build%20deepflash2%20images/badge.svg)](https://github.com/matjesg/deepflash2)
 [![GitHub stars](https://img.shields.io/github/stars/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)
@@ -181,3 +178,1 @@ [![GitHub forks](https://img.shields.io/github/forks/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)
 The ImagJ-Macro is available [here](https://raw.githubusercontent.com/matjesg/DeepFLaSH/master/ImageJ/Macro_create_maps.ijm).
-
-

README.md

@@ -9,7 +9,5 @@ # Welcome to
 
-![CI](https://github.com/matjesg/deepflash2/workflows/CI/badge.svg) 
 [![PyPI](https://img.shields.io/pypi/v/deepflash2?color=blue&label=pypi%20version)](https://pypi.org/project/deepflash2/#description) 
 [![PyPI - Downloads](https://img.shields.io/pypi/dm/deepflash2)](https://pypistats.org/packages/deepflash2)
 [![Conda (channel only)](https://img.shields.io/conda/vn/matjesg/deepflash2?color=seagreen&label=conda%20version)](https://anaconda.org/matjesg/deepflash2)
-[![Build fastai images](https://github.com/matjesg/deepflash2/workflows/Build%20deepflash2%20images/badge.svg)](https://github.com/matjesg/deepflash2)
 [![GitHub stars](https://img.shields.io/github/stars/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)
@@ -16,0 +14,0 @@ [![GitHub forks](https://img.shields.io/github/forks/matjesg/deepflash2?style=social)](https://github.com/matjesg/deepflash2/)

settings.ini

@@ -11,3 +11,3 @@ [DEFAULT]
 branch = master
-version = 0.2.1
+version = 0.2.2
 min_python = 3.7
@@ -19,3 +19,3 @@ audience = Developers
 status = 2
-requirements = fastai>=2.1.7 zarr>=2.0 scikit-image imageio ipywidgets openpyxl imagecodecs albumentations>=1.0.0 natsort>=7.1.1 numba>=0.52.0 opencv-python-headless>=4.1.1,<4.5.5 timm>=0.5.4
+requirements = fastai>=2.1.7 zarr>=2.0 tifffile==2022.4.8 scikit-image imageio ipywidgets openpyxl imagecodecs albumentations>=1.0.0 natsort>=7.1.1 numba>=0.52.0 opencv-python-headless>=4.1.1,<4.5.5 timm>=0.5.4
 pip_requirements = segmentation-models-pytorch-deepflash2
@@ -22,0 +22,0 @@ conda_requirements = segmentation_models_pytorch>=0.3.0

deepflash2.egg-info/entry_points.txt

-[console_scripts]
-
-

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Worsened metrics

Total package byte prevSize

236686

-0.31%

Number of package files

27

-3.57%