Skip to main content

No project description provided

Project description

easy-local-features-baselines

Just some scripts to make things easier for the local features baselines.

Installation

pip install -r requirements.txt
pip install .

How to use

from easy_local_features import DEAL
# from easy_local_features import DALF, DISK, R2D2, SuperPoint, SuperGlue

# Load an image
img = cv2.imread("assets/notredame.png")

# Initialize the extractor
extractor = DEAL()

# Return keypoints and descriptors just like OpenCV
keypoints, descriptors = extractor.detectAndCompute(img)

TODO

  • Add a setup.py to make it a pip package
  • Add a script to download some datasets
  • Add a download script for the pretrained models
  • Add more baselines :)
    • ASLFeat
    • DELF
    • LoFTR
    • DKM

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easy_local_features-0.2.3.tar.gz (16.8 kB view details)

Uploaded Source

File details

Details for the file easy_local_features-0.2.3.tar.gz.

File metadata

  • Download URL: easy_local_features-0.2.3.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for easy_local_features-0.2.3.tar.gz
Algorithm Hash digest
SHA256 d341f0de6f7faee53754840de5f8863f53657167d1923c0335a3460b1c88142d
MD5 ef605e28b3065b43aeb878e0a918294e
BLAKE2b-256 2aa356a0fc32e5fa56b527d68337469c068204f59f8476bf34bab128d9bdd6ee

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page