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SpecAI.Seg

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1.0.3 SpecAI.Seg-1.0.3-py3-none-any.whl

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Project: SpecAI.Seg
Version: 1.0.3
Filename: SpecAI.Seg-1.0.3-py3-none-any.whl
Download: [link]
Size: 86790
MD5: dc5ae207e8db8e044d982cca1d184984
SHA256: 40a02a31f03420ff70193c30322a58141738abb8ea312bc3c52abb180bea84d7
Uploaded: 2023-02-14 01:45:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: SpecAI.Seg
Version: 1.0.3
Summary: Code for doing hyperspectral image segmentation and uncertainty quantification.
Author: Scout Cabe Jarman
Author-Email: scoutjarman[at]yahoo.com
Home-Page: https://github.com/lanl/specaiseg
License: GPLv3
Keywords: Hyperspectral Image Analysis Image Segmentation
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Natural Language :: English
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: torch
Requires-Dist: scikit-image
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: spectral
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 30395 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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specaiseg/datasets.py sha256=LE70JaxQ0cPy5-PYiuskVHEvd3mIP0M-RFhXtB9nAns 20646
specaiseg/plotting.py sha256=n7tMbzSb1L2PvUzeENtIPyl9jh_K8m0dB49jV-IdeP8 20436
specaiseg/utils.py sha256=O4Y676Fm3eLiivXMt2g_6wAW7Thi_n2xrwmt-RaGrz8 5914
specaiseg/whitening.py sha256=nI0N-b9sajwQQOYt-sd0dOMVSjeuJFRrlwnIVlt1aHI 10893
specaiseg/_utils/ReadHSI.py sha256=E4CrTjGzvgt0BLp771IFjtokx1CN7Qr3i35yLEWwNDg 72106
specaiseg/_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
specaiseg/data_raw/datasets.csv sha256=47i5FH7EKd3jQpubB20dh44olqP78qk_FzKaMsxIfa8 2637
specaiseg/metrics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
specaiseg/metrics/_metrics.py sha256=akO4TFNEhlVBpGlai-SCDq02NRoFeAYpFxJHsXRvXks 1715
specaiseg/metrics/distance.py sha256=iEphaptXPJH96j-1oM_fcjXwolBaR7UztdD1oI1nkiM 4152
specaiseg/metrics/frc.py sha256=c5rGk0nD87zJhjbbAu91NWTmnc73Jop4JadRLpkn07M 15677
specaiseg/metrics/misc.py sha256=hDGM4BfO_-oz8Cf6GjZ0GpQ0PiiObcV3vxi_JU-Wz08 1454
specaiseg/metrics/zeb.py sha256=WG7Vg1G5lPO_4MQNgpUNYgVqrAw53cZ1TRZNTa8KTeY 14170
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specaiseg/models/classifiers.py sha256=42kxOrc1p3Xg4nxkQSD9z4ji3XuXxMTYJNtWK4rFAMY 6229
specaiseg/models/dimreds.py sha256=gNv06L-AiGQAOHgrDOvOxrR37xBLi-30NkGWn0qj_NA 849
specaiseg/models/segmenters.py sha256=YDQ0306GVppM1swR3bUkduc_hwhtLun_0rj65VenwNM 25235
specaiseg/models/_classifiers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
specaiseg/models/_classifiers/speclib.py sha256=RR2vWCkqOymrNiR32OoI0OH9K5nld6UZV0l-HdFUs_g 6039
specaiseg/models/_classifiers/trainedmodels.py sha256=ZzLFhJ967pmkBpSyWlN46EmM3XpM2ABHWxeDIIHYnxc 8442
specaiseg/uq/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
specaiseg/uq/_uq_metric.py sha256=2wwVzy8l5DsXPuvKGry7y_mQ8aroiTQzvM_pEDyFCkI 3498
specaiseg/uq/suqs.py sha256=x3uNJW4a8io4y5X14lTr3JlptR7Fpf53jB8oERI_7Y8 18361
SpecAI.Seg-1.0.3.dist-info/LICENSE.txt sha256=YF6QR6Vjxcg5b_sYIyqkME7FZYau5TfEUGTG-0JeRK0 35129
SpecAI.Seg-1.0.3.dist-info/METADATA sha256=nppiioRyElXvCp6GXFPCYi5OPQ7VqfMVfr3RkY1GVps 31655
SpecAI.Seg-1.0.3.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
SpecAI.Seg-1.0.3.dist-info/top_level.txt sha256=UnCRYN13Qflk87An6bff3DZWHo28MDz7D3tjQ8Xd_GE 10
SpecAI.Seg-1.0.3.dist-info/RECORD — —

top_level.txt

specaiseg