Wheelodex » Projects » DiST-Net

DiST-Net

View on PyPI — Reverse Dependencies (0)

0.1.2 DiST_Net-0.1.2-py3-none-any.whl

Wheel Details

Project: DiST-Net
Version: 0.1.2
Filename: DiST_Net-0.1.2-py3-none-any.whl
Download: [link]
Size: 49072
MD5: dd962c34bfb6fd05ee7999af34086d06
SHA256: e8740721c7914fe586b5defc9b2263607e0faf930883c3053331e0b1ac9163d3
Uploaded: 2021-04-22 17:09:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: DiST-Net
Version: 0.1.2
Summary: keras implementation of DiSTNet & utilities for mother machine data analysis with keras
Author: Jean Ollion
Author-Email: jean.ollion[at]polytechnique.org
Home-Page: https://github.com/jeanollion/distnet
Download-Url: https://github.com/jeanollion/distnet/archive/v_01.tar.gz
Keywords: Segmentation,Tracking,SelfAttention,Tensorflow,Keras
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
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)
Description-Content-Type: text/markdown
[Description omitted; length: 748 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
distnet/__init__.py sha256=n64NthPjlfiOQhvEqp5O6n0AdPyz4mCH-MK1aZln3Ck 15
distnet/data_generator/__init__.py sha256=VxemyRYoEzHihJ4j3nko3UcYuzkLn4XCQEWG80q8Cl4 94
distnet/data_generator/dy_iterator.py sha256=XkLtJND13lsd7tmgu0qOYqQ-OmfSspgIlN4n5g7w3DA 10571
distnet/data_generator/image_data_generator_mm.py sha256=g7pNiF88Gv1oPp6OQXFqUHBNXJCLMFTb8zbRZrOEJdE 19154
distnet/data_generator/image_data_generator_swim.py sha256=2U5E6zGW5sWb4Y4456YDlEXmyjXUhycipDLnr9DhWbQ 3801
distnet/keras_models/__init__.py sha256=FXZtLeJAHNXtF9FdWBdIm_10lU86neIM6mq7J64qDaQ 261
distnet/keras_models/attention.py sha256=BP-l0SJxUCKb3NJUw9Azfq3ATJU6kOJo3taEH8Bni8I 3948
distnet/keras_models/attention_self_attention.py sha256=pNuWB3zQ0XpKwivy730b88fbvUcVGN5VYGOiqmrs7Tw 4612
distnet/keras_models/intensity_transformer.py sha256=3ybZ5ABzW_ltUUoEfQoYjE96B59q2_pqYwbcBSL6wvE 1928
distnet/keras_models/layers.py sha256=9xpp0NXOS91F39RwEMz7WPfB5LQSmOWhxyCu0nwxZX0 9056
distnet/keras_models/multihead_self_attention.py sha256=3L4xAArcACTGLK8zc-pxU5fPwu6eYCO2ALdSL07OPXI 3782
distnet/keras_models/self_attention.py sha256=VAAn9ZvH6g56C5q9QO93sjbE2shDXVxP2AA5RBjeIqc 3911
distnet/keras_models/unet.py sha256=AEYMaa4818kCGismetzcgqxIok2SW3nB7ZTT8t0RUCQ 33955
distnet/utils/__init__.py sha256=0UWWabwpFPnZbGAjgvwWn0TvIZHOUN_R7kxJSWa4CpE 125
distnet/utils/callbacks.py sha256=YzCkUIOpbbSDjJYojuQCcQ7FA0d03xoxeW6HsyHqA8E 10333
distnet/utils/helpers.py sha256=a2TNziPvQ7H3h1f697e7Fs9fjs5sYluAsnIauC_DJp0 8826
distnet/utils/losses.py sha256=4mh3_htBfmu5oLPmgKsNsFdFX7dhNGJ1Thc6qC7iiwc 12813
distnet/utils/lovasz_losses_tf.py sha256=mdYhlya-H3ZfN-Og5pV0oJSjwHr0KWHupiF_8Hc4ZTI 6952
distnet/utils/metrics.py sha256=WeerVL1l9j1jIYsSdZ2XsvNVRyrqb1f4QC_Gg3gWMRk 2010
distnet/utils/pre_processing.py sha256=wq8rd-xC5nBrD47jA2EBTvDk136PHVfS27N6qk85Q5o 18052
DiST_Net-0.1.2.dist-info/LICENSE.txt sha256=zE1N4JILDTkSIDtdmqdnKKxKEQh_VdqeoAV2230eNOI 10141
DiST_Net-0.1.2.dist-info/METADATA sha256=DJhVW2OZIF90h91j187BFOD2lCjya1xg9-rVcoWzxLY 1779
DiST_Net-0.1.2.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
DiST_Net-0.1.2.dist-info/top_level.txt sha256=VEVpuhjLZy2Yf1ffR1TMayQeJAR6ujV6etlIFm-82lk 8
DiST_Net-0.1.2.dist-info/RECORD — —

top_level.txt

distnet