Wheelodex » Projects » spectral

spectral

View on PyPI — Reverse Dependencies (22)

0.23.1 spectral-0.23.1-py3-none-any.whl

Wheel Details

Project: spectral
Version: 0.23.1
Filename: spectral-0.23.1-py3-none-any.whl
Download: [link]
Size: 212939
MD5: ed834dfd982afe507e4fb7463d6e2b94
SHA256: 07d04da64ab51f789bd280c51d16a4aa7f7acf774bdd88eb95e600eeec3db664
Uploaded: 2022-10-02 16:03:33 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: spectral
Version: 0.23.1
Summary: Spectral Python (SPy) is a Python module for hyperspectral image processing.
Author: Thomas Boggs
Author-Email: thomas.boggs[at]gmail.com
Home-Page: http://spectralpython.net
Download-Url: https://github.com/spectralpython/spectral/releases/latest
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Environment :: Console
Classifier: Natural Language :: English
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Platform: Platform-Independent
Requires-Dist: numpy
[Description omitted; length: 287 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
spectral/__init__.py sha256=7qcE2qoKziY-1AtZhnhtwZUTVzs6Fx5fnWXBZYyjEgk 735
spectral/config.py sha256=_Z6_vXqaekGWcNgt1fETm5xwpDKJMzwwTemNIz8RqTY 5843
spectral/image.py sha256=YiZU3brCus4yO8eVokq416b-u9Gbcyi_obeX41bwhMc 6854
spectral/spectral.py sha256=kC-hTkHy6zG1erjHYhIE5JSk-6bQ1IaAb2JcZk6SLPs 4066
spectral/algorithms/__init__.py sha256=Il9LwFLCWx-HCsM356KLOV5xqazo0kKHL06FFuHx69Y 711
spectral/algorithms/algorithms.py sha256=sAebI-Hvw45vUvWx1UVQrd_NKkwJqG19mJiEmEtnyOU 64496
spectral/algorithms/classifiers.py sha256=hOiPbvrb-cKZZAV0unnAdrLz4OczgrrJpct6mBU7KkY 16400
spectral/algorithms/clustering.py sha256=NfWAvt93_PDJQTqvOlBXnd9Ebj2t4jj2l39ak8k-nDQ 12933
spectral/algorithms/continuum.py sha256=x_6Kozz48BURLCwTuFf71-j6D7pjnniX5SxVU5G9jiI 14678
spectral/algorithms/detectors.py sha256=FvRJhpdPvZPEaXnEln24P4xaZU-hZXsKWp_WoGqEO-g 26453
spectral/algorithms/perceptron.py sha256=SJPPj6jd20ODnS6JSCMkFZulDI1AAIeISOYQDbyibMk 15779
spectral/algorithms/resampling.py sha256=2jY9U3vhbnLbTD0SPmsuHIuE2BPcDQTT83siAeFhKzs 7807
spectral/algorithms/spatial.py sha256=LbO8y2VCFzdTrmYiHmMK34c0SgjVlMkwWEl7Zwtu0m0 27113
spectral/algorithms/spymath.py sha256=L_YMSG5kNukoag5tWYwe4ynyjWVTNT3hehNsB8SZhiU 2904
spectral/algorithms/transforms.py sha256=WbWxyBn2HbsvdEaE6GomKPjK8Je4I25G_x3xhtLYrqo 5347
spectral/database/__init__.py sha256=F7hGnTjsMX5B5xlDReLOf9jC_9-SZ9iV7szSyyXtqRE 189
spectral/database/aster.py sha256=V66exauoj-gwT9Zs3M-Xvfi2TA974zUdu13z9lorMPg 15620
spectral/database/ecostress.py sha256=tWQIYPdkMROXBixlTbX9bGEAhc56tr1CWaWjpamfuC8 7492
spectral/database/spectral_database.py sha256=wop7wOpLb5rBq8r4YlnfsUof4O1JwRpKCj8GyU5uvCo 2456
spectral/database/usgs.py sha256=JDkmW7d0eHOkXrPBYVuO8FWjYMGWhtgoFnYX66NaJSk 23468
spectral/graphics/__init__.py sha256=iUIyZHtWGjvB8M8NmHMXngAQj2Cqkoxj9lXxb-K-Jvo 264
spectral/graphics/colorscale.py sha256=_oAgx8etvDAOJnm0yMghPUlxja1VMiAupYLe841Y0Ww 4681
spectral/graphics/graphics.py sha256=ofNztxErSIfWwyKlmY2ZE3LyV_ZspcKmC7R-5j9WxOI 26752
spectral/graphics/hypercube.py sha256=c3BA3zX3IT91ZDXheI38l6tqAWWQrcum5ISFu10H0f4 18242
spectral/graphics/ndwindow.py sha256=Eg0Kdh2pWkaUTBxN8GERphNpUZLaadUMnKV4aK_56Y8 42906
spectral/graphics/rasterwindow.py sha256=_w7oy0IkjoPaFYMuoygrxUygRAkwo1mgw0Q7dlZgw6Q 1980
spectral/graphics/spygnuplot.py sha256=BMcOOb-KeX4d9RqoYDlIH794Tj3YVk4qwrJxcskA-P4 1004
spectral/graphics/spypylab.py sha256=EUQdQp8dJ-8U9MK4EixItd-x8yFMPUGWNRH4jP-ypm0 48028
spectral/graphics/spywxpython.py sha256=u7UWHWTma6xiVkgDFMosdLJodu_9aha11SrhGIluKYc 1790
spectral/graphics/spywxpythonthread.py sha256=9gtuvpKhI_1MF6AK6GqBuORVmxMaWKbuU10M3GwwDcA 3888
spectral/io/__init__.py sha256=taWEORA-X2AhLFwOGMnjg9P1uGytYvDslN331rADUiY 182
spectral/io/aviris.py sha256=_1AEKuvKl9YE0EERyFhZNA_I_DRWay1Pcw9DRR5i49M 2281
spectral/io/bilfile.py sha256=oxRUW9WIZt9GDRVmVjNx_vNb_2Xj80hht0XvABVpqDE 12930
spectral/io/bipfile.py sha256=JuueqHPf3CDFIeqLg-nzfk6Nc-pehuesMdm_r3T1Bjs 13380
spectral/io/bsqfile.py sha256=dMKLedblukmL0rjCsrZTsBck2uT6YZ5h47Dw8NuZb7I 13367
spectral/io/envi.py sha256=KWBja7xou_QQIbqo7m3fb64_XRKcLk2E3dXyagg7LJY 36543
spectral/io/erdas.py sha256=rybddQ5e5mqB_rAvMuo26xKZZtok_MUb4f9fuMUXYcc 7096
spectral/io/spyfile.py sha256=wvJwrVNorqJxRMNmJGwCYtkx-2MHdQPc0B3AdY-atfs 30187
spectral/tests/__init__.py sha256=IAGNd1gt98qPpXZmkFdiO8xTwOmuOL26f2mxYbzOj0I 1110
spectral/tests/classifiers.py sha256=Z5oNCCVYkcv9E5ws_C5jZBGfApeMPqUw_6w75RCuRnM 7461
spectral/tests/continuum.py sha256=qfCgSwNB61p5puGEaqFZTpQ-tAVELg3FUCxSBaND_LI 11855
spectral/tests/database.py sha256=uH8GbaDGp1Stl3PvGCBdFQlmxF4B9v-E2xNMHv8oLTA 6646
spectral/tests/detectors.py sha256=7CkxV7otmfDvjVZjDDbmJpei8X9ogbfVFJR-HYNFxgU 6455
spectral/tests/dimensionality.py sha256=Xw3z6zVi4kTtu2hBhiKoc3F53VhasdEmx96-iPf1IEU 6013
spectral/tests/envi.py sha256=RQZgrGonLs8dcU00a9dhG3X6eRv_OmUEfif5e-Tz7jk 11857
spectral/tests/iterators.py sha256=SnoOAUhe8wibIapNLDgsHMM4kT4ngyTvGIoBC3OmFs4 3748
spectral/tests/memmap.py sha256=KdPGqDYF1VJ40T8Cq7w73sVti4ckLGUhVS48s1-dVL0 5733
spectral/tests/run.py sha256=cHw91zjxZke1WyPeLeMGlC-KjsxMaZQmXqKSitPDuBg 1370
spectral/tests/spatial.py sha256=aCDhhSg3os8mzyf1QaRzd9cNHS6QcHsEKGana2X_ARk 6992
spectral/tests/spyfile.py sha256=4ANk3WnAYcPb0DJzM7Q9kNyu97OUplTvYvK3DB9SNZs 14033
spectral/tests/spymath.py sha256=GNqHAzusQBibAEFGVvVJ7F5x0ft1MiOr3g7-kPYKP-s 3721
spectral/tests/spytest.py sha256=2SRF4X4v43xhccryFBBfISYDbydEzQ4ih_Iy79eYH-0 2479
spectral/tests/transforms.py sha256=MeNHhU3iRhbQlxd5l5xB1W-7vKN6RRj0NarDpLX00iU 5459
spectral/tests/data/92AV3C.spc sha256=vqtwHCa6DCQw4eDkBz4heQksjFuygfVXjbpmlJBsXEw 10976
spectral/tests/data/ecostress/a.spectrum.txt sha256=litQgi5aSrCFuZYGO8SZqH1InGK-AenvCEujpxyqfp0 10437
spectral/tests/data/ecostress/b.spectrum.txt sha256=ZTU1tqtEGFQycPAATH1y4WDzgRdXFO3RVtsQ3DZ7ePE 37327
spectral/tests/data/ecostress/c.spectrum.txt sha256=di5uPRG91DcU8F9l3E3_Pw5FdwrYxNh_zxGoVHorz8s 37448
spectral/tests/data/usgs/ASCIIdata/liba/liba_Bandpass_(FWHM)_ASDFR_SR.txt sha256=n-HmbZ2fsItzhr_AqE-o-BTp1eVkQanL3fNHL2tcM3M 451
spectral/tests/data/usgs/ASCIIdata/liba/liba_Bandpass_(FWHM)_AVIRIS_1996_um.txt sha256=oZ3eK8WXD0OI1EtTMhCrV6RC57Tqpzu9nx8cqx2u3yU 242
spectral/tests/data/usgs/ASCIIdata/liba/liba_Bandpass_(FWHM)_BECK_Beckman_um.txt sha256=DIu7Ixd8plEubPZ74AkTF031lcosXIP8aQt3VZI5Oio 271
spectral/tests/data/usgs/ASCIIdata/liba/liba_Bandpass_(FWHM)_NIC4_Nicolet_um.txt sha256=_6ABIou0MIVwO4E6PWHo_VDLXWoeaYSlROD9f2ml4EQ 799
spectral/tests/data/usgs/ASCIIdata/liba/liba_Wavelengths_ASD_0.35-2.5_um.txt sha256=-vkikelP1aEzWwKhV1UIzZTpYAWjjEu7Hvwm4DmEUNM 454
spectral/tests/data/usgs/ASCIIdata/liba/liba_Wavelengths_AVIRIS_1996_0.37-2.5_um.txt sha256=tNJjKk6W5KrKj1-hCJPeaVsc6UiYaKxFfovJxNTtu2E 241
spectral/tests/data/usgs/ASCIIdata/liba/liba_Wavelengths_BECK_Beckman_0.2-3.0_um.txt sha256=UtAlFXvGzZRRPdt1tZ9q1iLR0ec2EUkLIAf-DCk3fOA 275
spectral/tests/data/usgs/ASCIIdata/liba/liba_Wavelengths_NIC4_Nicolet_1.12-216um.txt sha256=juroZ85J4pJZes_uYykPKB458gLZymGfxl2KRb5jX1E 802
spectral/tests/data/usgs/ASCIIdata/liba/ChapterB_b0/liba_Material_a_b0_0_ASDFRa_AREF.txt sha256=WCZxXFqFN3ja8NI5GRr5ycqpNj9Xghdg9JL8KtctbCo 460
spectral/tests/data/usgs/ASCIIdata/liba/ChapterB_b0/liba_Material_a_b0_1_NIC4a_RREF.txt sha256=CgLKh8Tm6rGcONjurctHmGMmQdWfT6iVeB_JHVhkZCY 800
spectral/tests/data/usgs/ASCIIdata/liba/ChapterB_b0/liba_Material_a_b0_2-way_trans_RefStd_NIC4aa_TRAN.txt sha256=Jh6RHpaVipvrgwN2nHFicaKAhFP_6_VSgt6GmC8F5gU 812
spectral/tests/data/usgs/ASCIIdata/liba/ChapterD_d0/liba_MaterialD_00_AVIRISb_RTGC.txt sha256=AeSeAAqT0rG8Wft334Zeo1l9FKk3dmUXSHnVHe4n8T8 231
spectral/tests/data/usgs/ASCIIdata/liba/ChapterD_d0/liba_MaterialD_01_BECKa_AREF.txt sha256=7QahOyzEyKNom0TC-GYyAt4P8LYxdHVjesoNPqMF8Y8 272
spectral/tests/data/usgs/ASCIIdata/libc/libc_Bandpass_(FWHM)_Landsat8_(7_bands)_nm.txt sha256=MyMRLRq2coLGKAAhB364adg_YA71XrZxVn6lHDiREQQ 177
spectral/tests/data/usgs/ASCIIdata/libc/libc_Bandpass_(FWHM)_Landsat8_(7_bands)_um.txt sha256=DVOOWankIIt7bQ6BD0z6nPUg4Uohw0yz4iuXkhYt12k 177
spectral/tests/data/usgs/ASCIIdata/libc/libc_SRF_Band_2_Landsat8_Blue.txt sha256=QcuFMWKId30olOWQmAl0FkX3JfopO_gzZXTwma-xlA8 362
spectral/tests/data/usgs/ASCIIdata/libc/libc_Wavelengths_Landsat8_(7_bands)_microns.txt sha256=j5e1odLjqf1VFaRL6is3vp07erlrBedBBXb0QibQuV0 177
spectral/tests/data/usgs/ASCIIdata/libc/libc_Wavelengths_Landsat8oli_SpecRespFunction.txt sha256=Zi_0rGP3akLmio9fx6VWad4rKLnqBIOavbkNRptEJ84 364
spectral/tests/data/usgs/ASCIIdata/libc/ChapterB_b0/libc_Material_a_b0_0_ASDFRa_AREF.txt sha256=DqDB5dP8ktL93ZavdbWx1cvSoetaH2cp_TCOWimUdpI 170
spectral/tests/data/usgs/ASCIIdata/libc/ChapterD_d0/libc_MaterialD_1_ASDFRa_AREF.txt sha256=-MfCqJMBbWIcF34SqNaYWD2WjljzCpz97yxKQyPPnUw 160
spectral/tests/data/usgs/ASCIIdata/libc/ChapterD_d0/libc_MaterialD_2_AVIRISb_RTGC.txt sha256=gMl_Tpi329JDtoQZmJo1vOLm0tqp0QSXbYTcQZ30Lrg 161
spectral/utilities/__init__.py sha256=PaBS_Yf4QFuEH1jnreqP_Ld2fgjtzQWp9m7zr1qp3pw 86
spectral/utilities/errors.py sha256=MUAu_EcLbP3vjxmUGGxQhF_cr3Np7zzd8E3JpHQYbmM 409
spectral/utilities/python23.py sha256=Q0LoVmRsw8Q0AZhfBXJ7jVFIxWd_iO5pQfkGPSFEx1Y 993
spectral/utilities/status.py sha256=q4B66omywNcFhjlWd1lhvMtA7BLOpnV85hpzau9kQOs 2229
spectral-0.23.1.dist-info/LICENSE.txt sha256=UXgu2TLHXvdCvhZ1bzX1jIgOF1F9dI47JhI18y6SzD0 1070
spectral-0.23.1.dist-info/METADATA sha256=WodJYi_sk-rPWmWe4dK3CAq9NB8fKi--0MKUkkxRsAU 1271
spectral-0.23.1.dist-info/WHEEL sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY 92
spectral-0.23.1.dist-info/top_level.txt sha256=MqK4oZwWClTFkfJmpf-vsx6B_b2HoyGG26qTlNIHK10 9
spectral-0.23.1.dist-info/RECORD — —

top_level.txt

spectral