cython_bbox is widely used in object detection tasks. To my best knowledge, it was first implemented in Faster-RCNN. Since then, almost all object detection projects use the source code directly.
In order to use it in standalone code snippets or small projects, I make it a pypi module. The cython_bbox.pyx is totally borrowed from Faster-RCNN. Thanks RBG!
pip install cython_bbox
from cython_bbox import bbox_overlaps
import numpy as np
gt = np.random.random((5, 4))
dt = np.random.random((10, 4))
overlaps = bbox_overlaps(
np.ascontiguousarray(dt, dtype=np.float),
np.ascontiguousarray(gt, dtype=np.float)
)
FAQs
Standalone cython_bbox
We found that cython-bbox demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
Security News
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
Security News
Following last week’s supply chain attack, Nx published findings on the GitHub Actions exploit and moved npm publishing to Trusted Publishers.