A development roadmap for DeepLabCut

A development roadmap for DeepLabCut#

:loudspeaker: :hourglass_flowing_sand: :construction:

General Enhancements:

  • DeepLabCut PyTorch & Model Zoo –> DLC 3.0 🔥

  • DLC-CookBook v0.1

  • DLC BLog for releases and user-highlights

  • New Docker containers into main repo / linked to Docker hub and repo(s)

  • 3D >2 camera support –> better 3D in PyTorch version 🔥

General NN Improvements:

deeplabcut 2.2: multi-animal pose estimation and tracking with DeepLabCut

  • alpha testing complete (early May 2020)

  • beta release: 2.2.b5 on 5 / 22 / 20 :smile:

  • beta release: 2.2b8 released 9/2020 :smile:

  • beta release 2.2b9 (rolled into 2.1.9 –> candidate release, slotted for Oct 2020)

  • 2.2rc1

  • 2.2rc2

  • 2.2rc3

  • Manuscript Lauer et al 2021 https://www.biorxiv.org/content/10.1101/2021.04.30.442096v1

  • full 2.2 stable release

real-time module with DEMO for how to set up on your camera system, integration with our [Camera Control Software](AdaptiveMotorControlLab/Camera_Control)

DeepLabCut Model Zoo: a collection of pretrained models for plug-in-play DLC and community crowd-sourcing.

DeepLabCut GUI and DeepLabCut-core:

  • to make DLC more modular, we will move core functions to DeepLabCut/DeepLabCut-core

  • DLC-core depreciated, and core is now simply pip install deeplabcut GUI is with pip install deeplabcut[gui]

  • new GUI for DeepLabCut; due to extended issues with wxPython, we will be moving to release a napari plugin napari/napari

  • New project management GUI

  • tensorflow 2.2 support in DeepLabCut-core: DeepLabCut/DeepLabCut#601

  • DeepLabCut-Core to be depreciated; TF2 will go into main repo.

  • TF2 support while also maintaining TF1 support until 2022.

  • Web-based GUI for labeling –> Colab training pipeline for users (full no-install DLC)