| Name | python-orb-slam3 JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | |
| Summary | A Python wrapper of ORB-SLAM3 algorithm |
| upload_time | 2024-02-04 11:57:23 |
| maintainer | |
| docs_url | None |
| author | Mix |
| requires_python | >=3.8,<4.0 |
| license | GPL-3.0 |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# python-orb-slam3
A Python wrapper for the [ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3) feature extraction algorithm.
## Installation
### From PyPI
> **Note**
> This package's pre-built binaries are only available for AMD64 architectures.
```bash
pip install python-orb-slam3
```
### From source
There are a few steps to follow to install this package from the source code, please refer to the CI configuration file [here](.github/workflows/ci.yml) for more details.
## Usage
```python
import cv2
from matplotlib import pyplot as plt
from python_orb_slam3 import ORBExtractor
source = cv2.imread("path/to/image.jpg")
target = cv2.imread("path/to/image.jpg")
orb_extractor = ORBExtractor()
# Extract features from source image
source_keypoints, source_descriptors = orb_extractor.detectAndCompute(source)
target_keypoints, target_descriptors = orb_extractor.detectAndCompute(target)
# Match features
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(source_descriptors, target_descriptors)
# Draw matches
source_image = cv2.drawKeypoints(source, source_keypoints, None)
target_image = cv2.drawKeypoints(target, target_keypoints, None)
matches_image = cv2.drawMatches(source_image, source_keypoints, target_image, target_keypoints, matches, None)
# Show matches
plt.imshow(matches_image)
plt.show()
```
## License
This repository is licensed under the [GPLv3](LICENSE) license.
<!--markdownlint-disable-file MD046-->
A Python wrapper for the ORB-SLAM3 feature extraction algorithm.
Copyright (C) 2022 Johnny Hsieh
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
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"description": "# python-orb-slam3\n\nA Python wrapper for the [ORB-SLAM3](https://github.com/UZ-SLAMLab/ORB_SLAM3) feature extraction algorithm.\n\n## Installation\n\n### From PyPI\n\n> **Note**\n> This package's pre-built binaries are only available for AMD64 architectures.\n\n```bash\npip install python-orb-slam3\n```\n\n### From source\n\nThere are a few steps to follow to install this package from the source code, please refer to the CI configuration file [here](.github/workflows/ci.yml) for more details.\n\n## Usage\n\n```python\nimport cv2\nfrom matplotlib import pyplot as plt\n\nfrom python_orb_slam3 import ORBExtractor\n\nsource = cv2.imread(\"path/to/image.jpg\")\ntarget = cv2.imread(\"path/to/image.jpg\")\n\norb_extractor = ORBExtractor()\n\n# Extract features from source image\nsource_keypoints, source_descriptors = orb_extractor.detectAndCompute(source)\ntarget_keypoints, target_descriptors = orb_extractor.detectAndCompute(target)\n\n# Match features\nbf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)\nmatches = bf.match(source_descriptors, target_descriptors)\n\n# Draw matches\nsource_image = cv2.drawKeypoints(source, source_keypoints, None)\ntarget_image = cv2.drawKeypoints(target, target_keypoints, None)\nmatches_image = cv2.drawMatches(source_image, source_keypoints, target_image, target_keypoints, matches, None)\n\n# Show matches\nplt.imshow(matches_image)\nplt.show()\n```\n\n## License\n\nThis repository is licensed under the [GPLv3](LICENSE) license.\n\n<!--markdownlint-disable-file MD046-->\n\n A Python wrapper for the ORB-SLAM3 feature extraction algorithm.\n Copyright (C) 2022 Johnny Hsieh\n\n This program is free software: you can redistribute it and/or modify\n it under the terms of the GNU General Public License as published by\n the Free Software Foundation, either version 3 of the License, or\n (at your option) any later version.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details.\n\n You should have received a copy of the GNU General Public License\n along with this program. If not, see <https://www.gnu.org/licenses/>.\n",
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