megadetector
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
2 of 58 committers (3.4%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Basic Info
Statistics
- Stars: 185
- Watchers: 10
- Forks: 36
- Open Issues: 1
- Releases: 3
Topics
Metadata Files
README-package-utils.md
megadetector-utils
This package is a pip-installable version of just the utility code from the MegaDetector repository. In other words, this package contains everything in the megadetector package except the PyTorch/YOLO dependencies. If you want to run MegaDetector, you don't want the megadetector-utils package. If you just want to use the tools for, e.g., postprocessing, manipulating large sets of camera trap images, etc., this package may be useful; it's a much quicker install than the megadetector package.
Version numbers are generally synchronized with the megadetector package.
Installation
Install with:
pip install megadetector-utils
Package reference
See megadetector.readthedocs.io.
Contact
Contact cameratraps@lila.science with questions.
Gratuitous animal picture
![]()
Image credit University of Minnesota, from the Orinoqua Camera Traps data set.
Owner
- Name: Dan Morris
- Login: agentmorris
- Kind: user
- Location: Bellevue, WA
- Company: Google AI for Nature and Society
- Website: http://dmorris.net
- Twitter: doctorofrock
- Repositories: 33
- Profile: https://github.com/agentmorris
I'm a research scientist with the Google AI for Nature and Society program, but more importantly I'm really good at Tetris Attack.
GitHub Events
Total
- Create event: 18
- Release event: 1
- Issues event: 18
- Watch event: 64
- Delete event: 12
- Issue comment event: 32
- Push event: 259
- Pull request event: 45
- Fork event: 14
Last Year
- Create event: 18
- Release event: 1
- Issues event: 18
- Watch event: 64
- Delete event: 12
- Issue comment event: 32
- Push event: 259
- Pull request event: 45
- Fork event: 14
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dan Morris | d****s@c****u | 2,333 |
| Marcel Simon | a****n@m****m | 340 |
| Siyu Yang | y****u@m****m | 292 |
| amritagupta | g****0@g****m | 268 |
| Christopher Yeh | c****6 | 169 |
| annie.enchakattu | a****u@g****m | 63 |
| Vardhan Duvvuri | G****r@G****g | 62 |
| Alex Morling | a****g@g****m | 20 |
| Annie Enchakattu | 3****u | 15 |
| Vardhan duvvuri | v****i@g****g | 12 |
| Ubuntu | l****x@l****t | 12 |
| Vardhan Duvvuri | v****i@o****m | 12 |
| Ubuntu | f****s@n****t | 10 |
| arashno | a****h@g****m | 10 |
| Patrick Flickinger | p****n@m****m | 10 |
| dependabot[bot] | 4****] | 8 |
| Default User | u****r@u****t | 7 |
| Ubuntu | m****t@m****t | 6 |
| Ubuntu | c****e@c****t | 6 |
| SuhailSaify | s****8@g****m | 6 |
| Sara Beery | s****y@g****m | 6 |
| Darío Hereñú | m****a@g****m | 6 |
| Siyu Yang | y****7@i****m | 5 |
| Doantam Phan | d****m | 5 |
| Nathaniel Rindlaub | n****b@g****m | 3 |
| Jakob Serlier | 3****8 | 3 |
| Nayan | n****n@g****m | 3 |
| Peter van Lunteren | c****t@p****m | 3 |
| Ubuntu | m****r@m****t | 2 |
| Alex Morling | a****g@g****m | 2 |
| and 28 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 100
- Total pull requests: 66
- Average time to close issues: 5 days
- Average time to close pull requests: 1 day
- Total issue authors: 16
- Total pull request authors: 10
- Average comments per issue: 3.67
- Average comments per pull request: 0.55
- Merged pull requests: 56
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 41
- Average time to close issues: 2 days
- Average time to close pull requests: about 1 hour
- Issue authors: 6
- Pull request authors: 4
- Average comments per issue: 2.27
- Average comments per pull request: 0.17
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- agentmorris (78)
- PetervanLunteren (6)
- nblumoe (2)
- aweaver1fandm (2)
- davidwhealey (2)
- muzammal0 (1)
- MattB-SF (1)
- tkmontana (1)
- ThomasLuypaert (1)
- jdiaz97 (1)
- ronbitonn (1)
- DavidePeron19 (1)
- Bulrush3 (1)
- nathanielrindlaub (1)
- tomyamashita (1)
Pull Request Authors
- agentmorris (62)
- atmorling (5)
- PetervanLunteren (3)
- nblumoe (2)
- Briveraa (2)
- nayan-mehta (2)
- wsyxbcl (1)
- stefanistrate (1)
- nathanielrindlaub (1)
- doantam (1)
- Bulrush3 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 2,085 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 50
- Total maintainers: 1
pypi.org: megadetector-utils
Utility code associated with the MegaDetector project.
- Homepage: https://github.com/agentmorris/MegaDetector
- Documentation: https://megadetector.readthedocs.io
- License: MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
Latest release: 10.0.7
published 6 months ago
Rankings
Maintainers (1)
pypi.org: megadetector
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
- Homepage: https://github.com/agentmorris/MegaDetector
- Documentation: https://megadetector.readthedocs.io
- License: MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
Latest release: 10.0.7
published 6 months ago
Rankings
Maintainers (1)
Dependencies
- Pillow *
- PyYAML *
- humanfriendly *
- jsonpickle *
- matplotlib *
- numpy *
- opencv-python *
- pandas *
- pyqtree *
- requests *
- scikit-learn *
- seaborn *
- torch *
- torchvision *
- tqdm *
- yolov5 *
- Pillow >= 9.5
- PyYAML >= 6.0.1
- humanfriendly >= 10.0
- jsonpickle >= 3.0.2
- matplotlib >= 3.8.0
- numpy >= 1.26.0
- opencv-python >= 4.8.0
- pandas >= 2.1.1
- pyqtree >= 1.0.0
- requests >= 2.31.0
- scikit-learn >= 1.3.1
- seaborn >= 0.12.2
- tqdm >= 4.64.0
- ultralytics-yolov5 == 0.1.1
- tensorflow/tensorflow 1.14.0-gpu-py3 build
- $BASE_IMAGE latest build
- BouncyCastle 1.8.9
- Google.Protobuf 3.15.0
- K4os.Compression.LZ4 1.1.11
- K4os.Compression.LZ4.Streams 1.1.11
- K4os.Hash.xxHash 1.0.6
- MySql.Data 8.0.21
- NLog 4.7.2
- Newtonsoft.Json 13.0.1
- SSH.NET 2020.0.2
- Serilog 2.9.0
- System.Buffers 4.5.0
- System.Memory 4.5.3
- System.Numerics.Vectors 4.4.0
- System.Runtime.CompilerServices.Unsafe 4.6.0
- Flask ==2.2.5
- Flask-RESTful ==0.3.8
- gunicorn ==20.0.4
- contourpy ==1.2.1
- cycler ==0.12.1
- fonttools ==4.51.0
- kiwisolver ==1.4.5
- matplotlib ==3.8.4
- numpy ==1.26.4
- packaging ==24.0
- pillow ==10.3.0
- pycocotools ==2.0.7
- pyparsing ==3.1.2
- python-dateutil ==2.9.0.post0
- six ==1.16.0