A multi-animal tracking algorithm based on convolutional neural networks
Project description
A package to abstract the functionality to deal with circadian time, offsets, etc
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
zeitgeber-0.0.0.tar.gz
(2.9 kB
view details)
Built Distribution
File details
Details for the file zeitgeber-0.0.0.tar.gz.
File metadata
- Download URL: zeitgeber-0.0.0.tar.gz
- Upload date:
- Size: 2.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | dcd30d01846c69ebb97108642d3d53a0f901e0caf1629e19ac892f41e09ff387 |
|
| MD5 | 4f4bfe76f985685c14e636f6441362a6 |
|
| BLAKE2b-256 | 7d920c739590780ea9c0f086051411f5b945b9602eaabe268f1e93278bd7c395 |
File details
Details for the file zeitgeber-0.0.0-py3-none-any.whl.
File metadata
- Download URL: zeitgeber-0.0.0-py3-none-any.whl
- Upload date:
- Size: 2.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4000c24adeae610356af763539faf91ad876ae1b4eebf518c8632cdd013f1416 |
|
| MD5 | ff1e5b21f1f9713c33a563aefee118a6 |
|
| BLAKE2b-256 | 1269ce875d970854355cf1f63209581d298672db775f9e92bc2981703cb38e0a |
