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(dev-roadmap)=

A development roadmap for DeepLabCut

📢 ⏳ 🚧

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 😄
  • beta release: 2.2b8 released 9/2020 😄
  • 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](https://github.com/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 https://github.com/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 https://github.com/napari/napari
  • New project management GUI
  • tensorflow 2.2 support in DeepLabCut-core: #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)