Utility code associated with the MegaDetector project.
Project description
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 Orinoquía Camera Traps data set.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file megadetector_utils-10.0.20.tar.gz.
File metadata
- Download URL: megadetector_utils-10.0.20.tar.gz
- Upload date:
- Size: 631.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c42e157bc4d0271451da458164c276ded736bdd04ab1f49a6134e30c337f20f4
|
|
| MD5 |
97ac4f7c06f923e4327975319394cb40
|
|
| BLAKE2b-256 |
c259507f2ad78710eb1100b39d0086a9a875f916bd344e9e722e1cb58629450c
|
File details
Details for the file megadetector_utils-10.0.20-py3-none-any.whl.
File metadata
- Download URL: megadetector_utils-10.0.20-py3-none-any.whl
- Upload date:
- Size: 713.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cdab50a58e2cb6522ff21ca3ca2b1f56c66f80390d8e16f78565bb499376dca3
|
|
| MD5 |
695f6c5b9db5b8be2ce7411aa1685a7c
|
|
| BLAKE2b-256 |
c0fd6bc30e7527af225d6e6b99181130f7701a1dd4c7b4ea92eb4a8a977768b0
|
