dlsia

View on PyPIReverse Dependencies (0)

0.3.1 dlsia-0.3.1-py2.py3-none-any.whl

Wheel Details

Project: dlsia
Version: 0.3.1
Filename: dlsia-0.3.1-py2.py3-none-any.whl
Download: [link]
Size: 114739
MD5: ea61cd9b3281214858c2db4cfb807580
SHA256: ff9147a7035c2e14d3a7233e156f3594ef62321d3e4aee51c68e1488ecd2ec78
Uploaded: 2024-04-12 03:16:23 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dlsia
Version: 0.3.1
Summary: Deep Learning for Scientif Image Analysis
Author: Petrus H. Zwart, Eric J. Roberts
Author-Email: PHZwart[at]lbl.gov, EJroberts[at]lbl.gov
Home-Page: https://github.com/phzwart/dlsia/
License: BSD License
Keywords: dlsia
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9
Requires-Dist: setuptools (>=62.2.0)
Requires-Dist: numpy (>=1.23)
Requires-Dist: torch (>=1.11)
Requires-Dist: torchsummary (>=1.5.1)
Requires-Dist: torchvision (>=0.13)
Requires-Dist: matplotlib (>=3.6.3)
Requires-Dist: torchmetrics (>=0.4.1)
Requires-Dist: tqdm (>=4.58.0)
Requires-Dist: h5py (>=3.1.0)
Requires-Dist: plotly (>=5.3.1)
Requires-Dist: dill (>=0.3.4)
Requires-Dist: einops (>=0.3.0)
Requires-Dist: pandas (>=1.2.3)
Requires-Dist: networkx (==3.0)
Requires-Dist: scikit-image (>=0.18.1)
Requires-Dist: scikit-learn (>=0.24.1)
Requires-Dist: scipy (>=1.8.1)
Requires-Dist: tifffile (>=2021.2.26)
Requires-Dist: torchmetrics (>=0.11.0)
Requires-Dist: qlty (>=0.1.7)
Requires-Dist: typing (>=3.7.4.3)
Requires-Dist: jedi (>=0.10)
Requires-Dist: connected-components-3d
Requires-Dist: pytorch-lightning
Requires-Dist: sphinx (==7.2.6)
Requires-Dist: nbsphinx
Requires-Dist: lxml-html-clean
Requires-Dist: nbsphinx-link
Requires-Dist: m2r
Requires-Dist: papermill
Requires-Dist: umap-learn (>=0.5.3)
Requires-Dist: kaleido
Requires-Dist: zarr
Requires-Dist: sphinx-rtd-theme
Description-Content-Type: text/markdown
[Description omitted; length: 8110 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
dlsia/__init__.py sha256=TXQtri9Mrg_BvdUcuOyKLMv5Petq5Ufq6c2MFG9_D8E 147
dlsia/core/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/core/corcoef.py sha256=iI5JNJde3l9xjYLYdIl-0W0IAfkmVL7srOd9cJ1lVWs 695
dlsia/core/custom_losses.py sha256=_XjPG18natrmTAZORQ-o8Zvs01QeVXp_VP6HbgdPgO8 20330
dlsia/core/helpers.py sha256=KAwLlZ0Z_6v-VYzfIa1UdRel3e02xt8g2vTc9C7JMw0 16714
dlsia/core/inference_scripts.py sha256=crJCjiXjjLRDzmpJlvi0bQRaiU_ygEBedLuO5f7hub0 1219
dlsia/core/train_scripts.py sha256=ON8WSusPG2IPwVOBN3dak-6hdwD4vkXVkh8CqyA9QWQ 44255
dlsia/core/conformalize/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/core/conformalize/conformalize_segmentation.py sha256=foYaz0yfiIwCyiyfXPXrwM0k4YnO1ZE8mwvCHvOUD54 5950
dlsia/core/networks/__init__.py sha256=X44nCuKo24Qixd-quZfjfeam8bTpcjJstKZ7CJNrquE 241
dlsia/core/networks/aggnet.py sha256=710OjinXgjouT-FqKXAGGqBJmSyq6CzKYxW4S8zukiM 2761
dlsia/core/networks/baggins.py sha256=3R5JbIRhOUs_1YAV1fKzwUBrc627gJ7Ym_EwMlHRBWQ 5578
dlsia/core/networks/construct_sms_ensemble.py sha256=Tig4NniUOYgTIIzUS29YPKApYJZ-sPhuwS9xThFcwL0 8545
dlsia/core/networks/graph_utils.py sha256=Cqv4ipUBdqTyZl9np6EGWz4VD55OIsMouumst22wrqw 3670
dlsia/core/networks/grey2color.py sha256=Aot8DCLaGlosDkBBLMGpeQLFUXJN01j9JKAiO09HtSE 3590
dlsia/core/networks/msae.py sha256=h-4aLDI9VuojM5s6tQUl7JyjaT9JHR83nuEoKyHBB_w 16443
dlsia/core/networks/msd_graph_tools.py sha256=k-EZoxge86gnjCken5QrISTpjwb6dPcmUQzk-BXSDME 7937
dlsia/core/networks/msdae.py sha256=DDMVBlxBI2BmM0V8g2CePWkqVQotOClS5TZ3Xm5CvNk 9229
dlsia/core/networks/msdnet.py sha256=CCAGVjctwlKxJsgsnuOcqQO4q2mTvTfG52E0LkdB5SQ 19515
dlsia/core/networks/msdnet2.py sha256=VQ8X0-sBNtfPlitGJDL2XZOUkeWsS2aArWaf_qSNxSs 14317
dlsia/core/networks/orthonet.py sha256=_aEpa_NC0SztU9P3K1SmvzlMTN2LT3qUJNZGRJf5Iik 12437
dlsia/core/networks/random_autoencoder.py sha256=VPqNvTjAw2Bj2EAW8eG_qdUPSAqJLwF3QwCpnlVHc8c 2203
dlsia/core/networks/scale_up_down.py sha256=lIS752U_4zVhAolyrCGwHuqOlevhOXMEcDKU8zT9Tb8 5130
dlsia/core/networks/sms1d.py sha256=IW7rXpOXvJonobRBURxlwHLMqiRgQ-w5RdSl8Gyhcm8 21540
dlsia/core/networks/sms3d.py sha256=1Eiaek_W0tsfYvNQ_VgOcfxXLhIPS417gEdLnUqOrW8 23026
dlsia/core/networks/smsnet.py sha256=xoNZuuNZmILqAkN8UExYTOuPE9POK0LsOrjmLAVS5Y0 36366
dlsia/core/networks/sparsenet.py sha256=e2jGJxf_vo9r78DGXmSF2RqcojztLvhrGJI0qpB4vXU 25596
dlsia/core/networks/squashnet.py sha256=2TcTVLTlkdg8_U8JDKJ7QWeIqHjLUWrjR2px3yiRD_I 3232
dlsia/core/networks/tunet.py sha256=xTAo0C43h_uiWJHxLGOE3GXrAogU3jey3APKPpMafhk 27074
dlsia/core/networks/tunet3plus.py sha256=WaJ9Ohgj9T2TaqZag0u04iDXnT7KQOp7KVmlkTp1U0U 41863
dlsia/core/networks/unet.py sha256=Po0nJNdY56nBAi8ztTshraXgMC1UdUye3V55oAPDV7o 4466
dlsia/core/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/core/utils/agg_utils.py sha256=Z7-bnLUtvdz9U4QZlNEqlvn1Puxrxu-VtTAiVWRt2uA 3503
dlsia/core/utils/blur.py sha256=M4v9T6Ax4C7-Dr5Xxqs7W-uHmrcqoJajmiolNISFm24 5888
dlsia/core/utils/downsample.py sha256=CtsGmhhv7ESv4NLEwU4yNrCba02MJEX9xBzU1ZCcNyI 2760
dlsia/core/utils/feature_extraction.py sha256=QHvzoycGw17aCtBv9CSrOlLSWk8PCHq0K9HdpeHJkmI 3466
dlsia/core/utils/latent_space_viewer.py sha256=E1SRSmRAbeTfzk6l2UVMwF3gkmeqGuha86eJxHH4Y4s 2750
dlsia/core/utils/randomized_data_loader.py sha256=8pD0wv6C0dFRKtNFrGxHEaKJnVaFKzaLrPd-Fa17eRc 2794
dlsia/core/utils/simple_instance_segmenter.py sha256=qP_lFySzrlF6dGq_pQHCoG4hn-SYwX3ieBtm7urMQQw 3201
dlsia/core/utils/sparse_tools.py sha256=X5fdjP_MjLE_nuw512Ksel_zJsH3_znO0eL-TBcXQZ4 735
dlsia/test_data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/test_data/two_d/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/test_data/two_d/build_test_data.py sha256=1hwJ-6LtWMnHe2vRdhWZ3Nqm68I0TH4MYRPh52SUZrQ 12261
dlsia/test_data/two_d/diffusion_model.py sha256=l8XDdknNrBJCeC6kQ07ODIjqo6uXzTfwD7xmGsyHby4 2128
dlsia/test_data/two_d/noisy_gauss_2d.py sha256=kMq_Jrv51exjLuEB7QcMosbb2sgoT-tdqsgRfgXkwuA 14578
dlsia/test_data/two_d/noisy_gauss_2d_time.py sha256=-iwMPvh73NnWXqm5rj522Tt0lLL2XTQZQ6UHndfUdts 7409
dlsia/test_data/two_d/random_shapes.py sha256=xIZPQqskySGKcxu9QxxMHBiYANiUTOuQLZpB-ksCkzw 9088
dlsia/test_data/two_d/torch_hdf5_loader.py sha256=oYc4TKbEti6xIXv9MLiSwXk4iphso0AW0fFwBe_AEf0 7450
dlsia/test_data/two_d/tst.py sha256=t177CRKl1RkT9HXvIfYpELOiCz0aWdE2QlAHfZ7wRNw 143
dlsia/tutorials/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/tutorials/copy_all.py sha256=CQ891F2zj1YqtbqP6adeMmGfOydPI8ADrxAmFOjwhvA 615
dlsia/viz_tools/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dlsia/viz_tools/draw_sparse_network.py sha256=pNhgjfk7YMMbOPq4wrv8Nqa6coYlpx24zb79eTqfFUc 5874
dlsia/viz_tools/plot_autoencoder_image_classification.py sha256=OcfBo7UDep4s_I247XpmL6fgGr-gC7I-lZPESQADW5c 4149
dlsia/viz_tools/plots.py sha256=UAU26vf7dluH261ZQRQiJBCEUM91zwttW3CniCNpMHU 7218
dlsia-0.3.1.dist-info/AUTHORS.rst sha256=2Z7CVWpu16sKkC0EVQqB-xnH1vFU_7Kinss06GvLFQA 137
dlsia-0.3.1.dist-info/LICENSE sha256=w-hXHA2LfriLQGYR82lg9wDa1dnTea9dkt1y3C0D_6A 1554
dlsia-0.3.1.dist-info/METADATA sha256=rI_QOw5iv6alcabUpwyoS-22sAMyZLNIZNbf__lff1k 9783
dlsia-0.3.1.dist-info/WHEEL sha256=ADKeyaGyKF5DwBNE0sRE5pvW-bSkFMJfBuhzZ3rceP4 110
dlsia-0.3.1.dist-info/top_level.txt sha256=0iTicE8qaRCloIeiRzNRzFKO8xD8hIr-xLiSOm5fX3s 6
dlsia-0.3.1.dist-info/RECORD

top_level.txt

dlsia