Keypoint detection and visual retrieval library for image identification.
Project description
VisiDex: Keypoint Detection and Visual Retrieval Library
Pacote detection
Contém classes e funções para detecção de keypoints e pontos singulares em imagens.
Classes
- Detecção de keypoints usando o algoritmo REKD.
Exemplo de uso:
from visidex.detection import REKD
rd = REKD()
image = ...
keypoints = rd.detect(image)
- SingularPoints - Detecção de pontos singulares em imagens.
from visidex.detection import SingularPoints
sp = SingularPoints()
image = ...
points = sp.detect(image)
apoio
- Python 3.9+
- PyTorch 2.1+
- Kornia 0.8.0+
- e2cnn 0.2.3+
- pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
visidex-0.1.4.tar.gz
(11.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
visidex-0.1.4-py3-none-any.whl
(15.1 kB
view details)
File details
Details for the file visidex-0.1.4.tar.gz.
File metadata
- Download URL: visidex-0.1.4.tar.gz
- Upload date:
- Size: 11.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.3 CPython/3.10.12 Linux/6.8.0-58-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd06941155a1e1145a01168d457297b4716ccf67736aa99466dbbf61c5db3d37
|
|
| MD5 |
d6a4827e2f6f5b80451aa2848642b049
|
|
| BLAKE2b-256 |
a7a2e3ea39228dbefbf095e150a73722e3a50ceb1778821790a978ea500c1beb
|
File details
Details for the file visidex-0.1.4-py3-none-any.whl.
File metadata
- Download URL: visidex-0.1.4-py3-none-any.whl
- Upload date:
- Size: 15.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.3 CPython/3.10.12 Linux/6.8.0-58-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ae11e1333038f4ced1aea892ddfa9a48111d65cf5c386c1334ad360ee337d718
|
|
| MD5 |
7659088e158f8d5a73f1dcc63d5d698f
|
|
| BLAKE2b-256 |
44c49ae8329216a6392923600ae6b552df769544a49a29076506a992db7c6828
|