Bounding Box Merger
===================
Merge your AI predicted Bounding boxes to get a single bounding box for
each object.
Example Usage
=============
Merge Boxes
-----------
.. code:: python
from bbox_merger import merge_boxes
boxes = [[0, 0, 2, 2], [1, 1, 3, 3], [4, 4, 6, 6]]
merged_boxes = merge_boxes(boxes)
print(merged_boxes)
::
Output: [[0.0, 0.0, 3.0, 3.0], [4.0, 4.0, 6.0, 6.0]]
Calculate IoU
-------------
.. code:: python
from bbox_merger import calculate_iou
box1 = [0, 0, 2, 2]
box2 = [1, 1, 3, 3]
merged_boxes = calculate_iou(box1, box2)
print(merged_boxes)
::
Output: 0.14285714285714285
Example
-------
1. Before Merging Bounding Boxes |Image1|
2. After Merging Bounding Boxes |Image2|
.. |Image1| image:: https://github.com/SohaibAnwaar/bbox-merger/blob/v_001/attachments/Image1.png?raw=true
.. |Image2| image:: https://github.com/SohaibAnwaar/bbox-merger/blob/v_001/attachments/merged.png?raw=true
Raw data
{
"_id": null,
"home_page": "https://github.com/SohaibAnwaar",
"name": "bbox-merger",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "bbox,merge,Computer Vision,Image processing,Object Detection,Segmentation",
"author": "Sohaib Anwaar",
"author_email": "sohaibanwaar36@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/d6/f1/30e4b1fe50dde88cdaf82ffb7c22f243ce3a88fbc0c18f9a9ecaef1ad058/bbox_merger-0.0.11.tar.gz",
"platform": null,
"description": "Bounding Box Merger\n===================\n\nMerge your AI predicted Bounding boxes to get a single bounding box for\neach object.\n\nExample Usage\n=============\n\nMerge Boxes\n-----------\n\n.. code:: python\n\n from bbox_merger import merge_boxes\n boxes = [[0, 0, 2, 2], [1, 1, 3, 3], [4, 4, 6, 6]]\n merged_boxes = merge_boxes(boxes)\n print(merged_boxes)\n\n::\n\n Output: [[0.0, 0.0, 3.0, 3.0], [4.0, 4.0, 6.0, 6.0]]\n\nCalculate IoU\n-------------\n\n.. code:: python\n\n from bbox_merger import calculate_iou\n box1 = [0, 0, 2, 2]\n box2 = [1, 1, 3, 3]\n merged_boxes = calculate_iou(box1, box2)\n print(merged_boxes)\n\n::\n\n Output: 0.14285714285714285\n\nExample\n-------\n\n1. Before Merging Bounding Boxes |Image1|\n2. After Merging Bounding Boxes |Image2|\n\n.. |Image1| image:: https://github.com/SohaibAnwaar/bbox-merger/blob/v_001/attachments/Image1.png?raw=true\n.. |Image2| image:: https://github.com/SohaibAnwaar/bbox-merger/blob/v_001/attachments/merged.png?raw=true\n\n",
"bugtrack_url": null,
"license": "",
"summary": "This Module will help you out in merging your bboxes if overlaps",
"version": "0.0.11",
"project_urls": {
"Download": "https://github.com/SohaibAnwaar/bbox-merger/archive/refs/tags/v_001.tar.gz",
"Homepage": "https://github.com/SohaibAnwaar"
},
"split_keywords": [
"bbox",
"merge",
"computer vision",
"image processing",
"object detection",
"segmentation"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "d6f130e4b1fe50dde88cdaf82ffb7c22f243ce3a88fbc0c18f9a9ecaef1ad058",
"md5": "5e7f61d34f688d0a88eaa8bcc798b510",
"sha256": "c40519d3899617c5af6636b47e11f4ab413ad6bb6695e7e10f003809362889b2"
},
"downloads": -1,
"filename": "bbox_merger-0.0.11.tar.gz",
"has_sig": false,
"md5_digest": "5e7f61d34f688d0a88eaa8bcc798b510",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3109,
"upload_time": "2023-09-06T10:04:48",
"upload_time_iso_8601": "2023-09-06T10:04:48.327249Z",
"url": "https://files.pythonhosted.org/packages/d6/f1/30e4b1fe50dde88cdaf82ffb7c22f243ce3a88fbc0c18f9a9ecaef1ad058/bbox_merger-0.0.11.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-09-06 10:04:48",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "SohaibAnwaar",
"github_project": "bbox-merger",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "pylint",
"specs": [
[
"==",
"2.17.5"
]
]
},
{
"name": "shapely",
"specs": [
[
"==",
"2.0.1"
]
]
},
{
"name": "black",
"specs": []
},
{
"name": "pypandoc",
"specs": []
}
],
"lcname": "bbox-merger"
}