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VLAD

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0.1.7 VLAD-0.1.7-py3-none-any.whl

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Project: VLAD
Version: 0.1.7
Filename: VLAD-0.1.7-py3-none-any.whl
Download: [link]
Size: 7858
MD5: 4bc387dc21ec8861def27a23e1f7ea0d
SHA256: 57529b451532f0f009639e5c95d2d320b25e7c7ba8712f67fb79dd449bf1f2bf
Uploaded: 2022-11-17 08:18:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: VLAD
Version: 0.1.7
Summary: VLAD (Vector of Locally Aggregated Descriptors) implementation using opencv's SIFT and sklearn's KMeans
Author-Email: ginofft <ntnghia.andrei[at]gmail.com>
License: MIT License Copyright (c) 2010-2030 Trong Nghia Nguyen Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: vlad,image retrieval,computer vision
Requires-Dist: opencv-python
Requires-Dist: torch
Requires-Dist: scikit-learn
Requires-Dist: numpy
Requires-Dist: h5py
Requires-Dist: matplotlib
License-File: LICENSE
[No description]

WHEEL

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

RECORD

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VLAD/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
VLAD/utils.py sha256=EEaV6A-OTnCbIvEk7At42JHaRJsPHKr08KfgklBk_r8 3652
VLAD/vlad.py sha256=luGJG5CtbtBSTqeYK-XVKeVj11-e4GOyml3bOjS7UlI 8021
VLAD-0.1.7.dist-info/LICENSE sha256=eZzWdXFFICy5nvn7EE6LDDfBsVBkPfOoA23DfgLXQj8 1099
VLAD-0.1.7.dist-info/METADATA sha256=UlqZ3eFkrTErZw4nYYDheKNVkbUI7DG4nUiSmjQj2LI 1709
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VLAD-0.1.7.dist-info/RECORD — —

top_level.txt

VLAD