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
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-0.1.6.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-0.1.6-py3-none-any.whl
(15.1 kB
view details)
File details
Details for the file visidex-0.1.6.tar.gz.
File metadata
- Download URL: visidex-0.1.6.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 |
a258e9b25f1e7879c37de8cebcd9ff3c5d863d15f168d63678adad287c5d6fc2
|
|
| MD5 |
2bc739e86bc96c5c4478193949667613
|
|
| BLAKE2b-256 |
8628e028c580999a95017ce052895988215ecb7d1171b172b7e273d9c12878b1
|
File details
Details for the file visidex-0.1.6-py3-none-any.whl.
File metadata
- Download URL: visidex-0.1.6-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 |
f28418eb5dc96ea3ee35c3d0d3a95e80531dca5747ed42bc604f394015a0e67c
|
|
| MD5 |
c6ee2647985085bdefa111c792df8947
|
|
| BLAKE2b-256 |
a3cd738ff497b872db839ad337f94a366bf56e5d9e6a64220a8c626a867d8282
|
