Project description

DeepLabCut-core

Core functionalities of DeepLabCut, excluding all GUI functions.

Currently up to date with DeepLabCut v2.1.8.1. AND uses tensorflow 2.X

Please be aware, you can create projects, etc. with the full deeplabcut package. Here, you will need to create the training set and train, evaluate, etc. not inter-mixing with using the deeplabcut package (it currently supports tensorflow 1.x). We recommend looking at this google colab notebook to help you, and this blog post about our transitition to tensorflow 2.

Python package PyPI - Python Version

Install from GitHub: pip install git+https://github.com/DeepLabCut/DeepLabCut-core

PyPi: pip install deeplabcutcore

Documentation is located at DeepLabCut's main GitHub page.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.1

Mar 14, 2021

This version

0.0

Mar 14, 2021

0.0b3 pre-release

May 21, 2020

0.0b2 pre-release

May 20, 2020

0.0b1 pre-release

May 17, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deeplabcutcore-0.0.tar.gz (128.2 kB view hashes)

Uploaded Mar 14, 2021 Source

Built Distribution

deeplabcutcore-0.0-py3-none-any.whl (182.3 kB view hashes)

Uploaded Mar 14, 2021 Python 3

Hashes for deeplabcutcore-0.0.tar.gz

Hashes for deeplabcutcore-0.0.tar.gz
Algorithm	Hash digest
SHA256	`904a27da50fc0e13e5ed6b53c3ef8d478df1157e8fc6fa0380ec40aed0ae4326`
MD5	`94666a67e36e8903d18853e66db829bc`
BLAKE2b-256	`4330c5861db29e01256a5d373e27cfd66bbff16f33cd10bc044f4db907cd3f7d`

Hashes for deeplabcutcore-0.0-py3-none-any.whl

Hashes for deeplabcutcore-0.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`37981f92c4bc01f188ca781b2728ec641844c90de1be421d5a76f8fc3c795749`
MD5	`0bf9771a62356c5a6cfeb62f8e0b60cb`
BLAKE2b-256	`01113e5e6d6df1a3adb72a73eb8855338e0da56e6613a6b828f48c7092115bf1`