# cython_bbox
COPIED FROM THE ORIGINAL [cython-bbox](https://github.com/samson-wang/cython_bbox)
Credits:
* samson-wang
* Yyuk-Liao
* a-j-paul
* Philip Fu (cython_bbox_fix)
Modifications have been made from the original code to update for new numpy versions
---
The original README is repeated below
---
cython_bbox is widely used in object detection tasks. To my best knowledge, it was first implemented in [Faster-RCNN](https://github.com/rbgirshick/py-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](https://github.com/rbgirshick/py-faster-rcnn). Thanks [RBG](http://www.rossgirshick.info/)!
## install
```
pip install cython_bbox
```
## usage
```
from cython_bbox import bbox_overlaps
overlaps = bbox_overlaps(
np.ascontiguousarray(dt, dtype=np.float32),
np.ascontiguousarray(gt, dtype=np.float32)
)
```
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"description": "# cython_bbox\r\n\r\nCOPIED FROM THE ORIGINAL [cython-bbox](https://github.com/samson-wang/cython_bbox)\r\n\r\nCredits:\r\n\r\n* samson-wang\r\n* Yyuk-Liao\r\n* a-j-paul\r\n* Philip Fu (cython_bbox_fix)\r\n\r\nModifications have been made from the original code to update for new numpy versions\r\n\r\n---\r\nThe original README is repeated below\r\n\r\n---\r\n\r\ncython_bbox is widely used in object detection tasks. To my best knowledge, it was first implemented in [Faster-RCNN](https://github.com/rbgirshick/py-faster-rcnn). Since then, almost all object detection projects use the source code directly.\r\n\r\nIn 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](https://github.com/rbgirshick/py-faster-rcnn). Thanks [RBG](http://www.rossgirshick.info/)!\r\n\r\n## install\r\n\r\n```\r\npip install cython_bbox\r\n```\r\n\r\n## usage\r\n\r\n\r\n```\r\nfrom cython_bbox import bbox_overlaps\r\noverlaps = bbox_overlaps(\r\n np.ascontiguousarray(dt, dtype=np.float32),\r\n np.ascontiguousarray(gt, dtype=np.float32)\r\n )\r\n\r\n```\r\n",
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