From 2883659108bceefcb376dcab5fbda6b04be4a804 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Thu, 30 Jan 2025 09:39:31 +0100 Subject: [PATCH 01/24] review installation docs --- README.md | 17 +++++++---- conda-environments/DEEPLABCUT_M1.yaml | 43 --------------------------- docs/UseOverviewGuide.md | 20 ++++++++----- docs/installation.md | 6 +--- docs/recipes/installTips.md | 35 +++++++++++++++------- 5 files changed, 48 insertions(+), 73 deletions(-) delete mode 100644 conda-environments/DEEPLABCUT_M1.yaml diff --git a/README.md b/README.md index 28ef4e09a8..1e35326214 100644 --- a/README.md +++ b/README.md @@ -60,15 +60,20 @@ Please click the link above for all the information you need to get started! Please note that currently we support only Python 3.10+ (see conda files for guidance). -Developers Stable Release: -- Very quick start: You need to have TensorFlow installed (up to v2.10 supported across platforms) `pip install "deeplabcut[gui,tf]"` that includes all functions plus GUIs, or `pip install deeplabcut[tf]` (headless version with PyTorch and TensorFlow). - -Developers Alpha Release: -- We also have an alpha release of PyTorch DeepLabCut available! [Please see here for instructions and information](https://github.com/DeepLabCut/DeepLabCut/blob/pytorch_docs/docs/pytorch/user_guide.md). +Developers Stable Release: very quick start (Python 3.10+ required) + +- To install DeepLabCut with the PyTorch engine, you can simply + - [Install PyTorch](https://pytorch.org/get-started/locally/) (**select the desired + CUDA version**): `pip install torch torchvision` + - Then [install `pytables`](https://www.pytables.org/usersguide/installation.html): `conda install -c conda-forge pytables==3.8.0` + - Finally install `DeepLabCut`: `pip install deeplabcut`! +- To use TensorFlow models (up to v2.10 supported across platforms; up to v2.12 +supported on Linux) `pip install "deeplabcut[gui,tf]"` that includes all functions plus +GUIs, or `pip install deeplabcut[tf]` (headless version with PyTorch and TensorFlow). We recommend using our conda file, see [here](https://github.com/DeepLabCut/DeepLabCut/blob/main/conda-environments/README.md) or the new [`deeplabcut-docker` package](https://github.com/DeepLabCut/DeepLabCut/tree/main/docker). -# [Documentation: The DeepLabCut Process](https://deeplabcut.github.io/DeepLabCut) +# [Documentation: The DeepLabCut Process](https://deeplabcut.github.io/DeepLabCut/README.html) Our docs walk you through using DeepLabCut, and key API points. For an overview of the toolbox and workflow for project management, see our step-by-step at [Nature Protocols paper](https://doi.org/10.1038/s41596-019-0176-0). diff --git a/conda-environments/DEEPLABCUT_M1.yaml b/conda-environments/DEEPLABCUT_M1.yaml deleted file mode 100644 index 47e8c02572..0000000000 --- a/conda-environments/DEEPLABCUT_M1.yaml +++ /dev/null @@ -1,43 +0,0 @@ -# DEEPLABCUT_M1.yaml - -#DeepLabCut2.0 Toolbox (deeplabcut.org) -#© A. & M.W. Mathis Labs -#https://github.com/DeepLabCut/DeepLabCut -#Please see AUTHORS for contributors. - -#https://github.com/DeepLabCut/DeepLabCut/blob/master/AUTHORS -#Licensed under GNU Lesser General Public License v3.0 -# -# DeepLabCut M1/M2 (Apple Silicon) environment instructions -# -# We'll get the miniconda M1 bash installer, as explained in -# https://docs.conda.io/projects/conda/en/latest/user-guide/install/macos.html -# -# In the Terminal, run the following commands: -# wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-MacOSX-arm64.sh -O ~/miniconda.sh -# bash ~/miniconda.sh -b -p $HOME/miniconda -# source ~/miniconda/bin/activate -# conda init zsh -# -# Then, `git clone DeepLabCut`, and run: -# -# conda env create -f conda-environments/DEEPLABCUT_M1.yaml -# -# Next, activate the environment, and launch DLC with pythonw -m deeplabcut - -name: DEEPLABCUT_M1 -channels: - - conda-forge - - defaults -dependencies: - - python=3.10 - - pip - - ipython - - jupyter - - nb_conda - - notebook<7.0.0 - - python.app - - ffmpeg - - apple::tensorflow-deps - - pip: - - "deeplabcut[gui,apple_mchips]" diff --git a/docs/UseOverviewGuide.md b/docs/UseOverviewGuide.md index 778b5d2c0e..7e7ec1a137 100644 --- a/docs/UseOverviewGuide.md +++ b/docs/UseOverviewGuide.md @@ -18,11 +18,11 @@ We are primarily a package that enables deep learning-based pose estimation. We - Decide on your needs: there are **two main modes, standard DeepLabCut or multi-animal DeepLabCut**. We highly recommend carefully considering which one is best for your needs. For example, a white mouse + black mouse would call for standard, while two black mice would use multi-animal. **[Important Information on how to use DLC in different scenarios (single vs multi animal)](important-info-regd-usage)** Then pick a user guide: -- (1) [How to use standard DeepLabCut](single-animal-userguide) -- (2) [How to use multi-animal DeepLabCut](multi-animal-userguide) + - (1) [How to use standard DeepLabCut](single-animal-userguide) + - (2) [How to use multi-animal DeepLabCut](multi-animal-userguide) - To note, as of DLC3+ the single and multi-animal code bases are more integrated and we support **top-down**, **bottom-up**, and a new "hybrid" approach that is state-of-the-art, called **BUCTD** (bottom-up conditional top down), models. - - If these terms are new to you, check out our [Primer on Motion Capture with Deep Learning!](https://www.sciencedirect.com/science/article/pii/S0896627320307170). In brief, both work for single or multiple animals and each method can be better or worse on your data. + - If these terms are new to you, check out our [Primer on Motion Capture with Deep Learning!](https://www.sciencedirect.com/science/article/pii/S0896627320307170). In brief, both work for single or multiple animals and each method can be better or worse on your data.

@@ -67,15 +67,19 @@ Getting Started: [a video tutorial on navigating the documentation!](https://www

- +

### Overview of the workflow: This page contains a list of the essential functions of DeepLabCut as well as demos. There are many optional parameters with each described function, which you can find [here](functionDetails.md). For additional assistance, you can use the [help](UseOverviewGuide.md#help) function to better understand what each function does. -

- - +

+ +
+ + View in full screen + +

You can have as many projects on your computer as you wish. You can have DeepLabCut installed in an [environment](/conda-environments) and always exit and return to this environment to run the code. You just need to point to the correct ``config.yaml`` file to [jump back in](/docs/UseOverviewGuide.md#tips-for-daily-use)! The documentation below will take you through the individual steps. @@ -136,7 +140,7 @@ with the terminal interface you get the most versatility and options. ## Option 1: Demo Notebooks: [VIDEO TUTORIAL AVAILABLE!](https://www.youtube.com/watch?v=DRT-Cq2vdWs) -We provide Jupyter and COLAB notebooks for using DeepLabCut on both a pre-labeled dataset, and on the end user’s +We provide Jupyter and COLAB notebooks for using DeepLabCut on both a pre-labeled dataset, and on the end user's own dataset. See all the demo's [here!](/examples) Please note that GUIs are not easily supported in Jupyter in MacOS, as you need a framework build of python. While it's possible to launch them with a few tweaks, we recommend using the Project Manager GUI or terminal, so please follow the instructions below. (using-project-manager-gui)= diff --git a/docs/installation.md b/docs/installation.md index 6872255a83..382df4fd3a 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -168,7 +168,7 @@ The ONLY thing you need to do **first** if you have an NVIDIA GPU and the matchi `nvcc -V` to check your installed version(s). -- The best practice is to then run the supplied `testscript.py` (this is inside the examples folder you acquired when you git cloned the repo). Here is more information/a short [video on running the testscript](https://www.youtube.com/watch?v=IOWtKn3l33s). +- The best practice is to then run the supplied `testscript_pytorch_single_animal.py` (or `testscript.py` for the TensorFlow engine); this is inside the examples folder you acquired when you git cloned the repo. Here is more information/a short [video on running the testscript](https://www.youtube.com/watch?v=IOWtKn3l33s). - Additionally, if you want to use the bleeding edge, with yout git clone you also get the latest code. While inside the main DeepLabCut folder, you can run `./reinstall.sh` to be sure it's installed (more here: https://github.com/DeepLabCut/DeepLabCut/wiki/How-to-use-the-latest-GitHub-code) @@ -230,7 +230,3 @@ If you perform the system-wide installation, and the computer has other Python p - If you want to use a pre3.0 version, you will need [TensorFlow](https://www.tensorflow.org/) (we used version 1.0 in the Nature Neuroscience paper, later versions also work with the provided code (we tested **TensorFlow versions 1.0 to 1.15, and 2.0 to 2.10**; we recommend TF2.10 now) for Python 3.8, 3.9, 3.10 with GPU support. - To note, is it possible to run DeepLabCut on your CPU, but it will be VERY slow (see: [Mathis & Warren](https://www.biorxiv.org/content/early/2018/10/30/457242)). However, this is the preferred path if you want to test DeepLabCut on your own computer/data before purchasing a GPU, with the added benefit of a straightforward installation! Otherwise, use our COLAB notebooks for GPU access for testing. - Docker: We highly recommend advanced users use the supplied [Docker container](docker-containers) - - - -Return to [readme](readme). diff --git a/docs/recipes/installTips.md b/docs/recipes/installTips.md index 3864af7815..274ad238c5 100644 --- a/docs/recipes/installTips.md +++ b/docs/recipes/installTips.md @@ -7,20 +7,20 @@ We often update the master deeplabcut code base on github, and then ~1 a month w ### Method 1: -If you want to *use* the latest, you can use pip and add the specific tags, such as `tf` or `gui`, etc. by modifying and running: +If you want to *use* the latest, you can use pip and add the specific tags, such as `gui`, etc. by modifying and running: ``` -pip install --upgrade 'git+https://github.com/deeplabcut/deeplabcut.git#egg=deeplabcut[tf]' +pip install --upgrade 'git+https://github.com/deeplabcut/deeplabcut.git#egg=deeplabcut[gui]' ``` which will download and update deeplabcut, and any dependencies that don't match the new version. If you want to force upgrade all of the dependencies to the latest available versions, too, then use the additional `--upgrade-strategy eager`, i.e.: ``` -pip install --upgrade --upgrade-strategy eager 'git+https://github.com/deeplabcut/deeplabcut.git#egg=deeplabcut[tf,gui]' +pip install --upgrade --upgrade-strategy eager 'git+https://github.com/deeplabcut/deeplabcut.git#egg=deeplabcut[gui]' ``` ### Method 2: -If you want to be able to *edi* the source code of DeepLabCut, i.e., maybe add a feature or fix a 🐛, then you need to "clone" the source code: +If you want to be able to *edit* the source code of DeepLabCut, i.e., maybe add a feature or fix a 🐛, then you need to "clone" the source code: **Step 1:** @@ -54,6 +54,10 @@ If you make changes, you can also then utilize our test scripts. Run the desired i.e., for example: ``` +# Testing with the PyTorch engine +python testscript_pytorch_multi_animal.py + +# Testing with the TensorFlow engine python testscript_multianimal.py ``` @@ -243,6 +247,7 @@ Share images, automate workflows, and more with a free Docker ID: For more examples and ideas, visit: https://docs.docker.com/get-started/ ``` + ### Next, Anaconda! Click here to get the ubuntu/linux package: https://www.anaconda.com/products/individual#linux @@ -313,11 +318,11 @@ Activate! `conda activate DEEPLABCUT` and then run: `conda install -c conda-forg Then run `python -m deeplabcut` which launches the DLC GUI. -## DeepLabCut MacOS M1 and M2 chip installation environment instructions: +## DeepLabCut MacOS M-chip installation environment instructions: -This only assumes you have anaconda installed. - -Use the `DEEPLABCUT_M1.yaml` conda file if you have an Macbok with an M1 or M2 chip, and follow these steps: +This only assumes you have anaconda installed. Use the `DEEPLABCUT_M1.yaml` conda file +if you have a newer MacBook (with an M1, M2, M3, M4 chip or more later), and follow +these steps: (1) git clone the deeplabcut cut repo: @@ -330,7 +335,7 @@ git clone https://github.com/DeepLabCut/DeepLabCut.git (3) Then, run: ```bash -conda env create -f DEEPLABCUT_M1.yaml +conda env create -f DEEPLABCUT.yaml ``` (4) Finally, activate your environment and to launch DLC with the GUI @@ -340,7 +345,14 @@ conda activate DEEPLABCUT_M1 python -m deeplabcut ``` -The GUI will open. Of course, you can also run DeepLabCut in headless mode. +The GUI will open. Of course, you can also run DeepLabCut in headless mode. + +If **you want to use the TensorFlow engine**, you'll need to install the `apple_mchips` +extra with DeepLabCut. You can do so by running: + +```bash +pip install deeplabcut[apple_mchips] +``` ## How to confirm that your GPU is being used by DeepLabCut @@ -364,7 +376,8 @@ During training and analysis steps, DeepLabCut does not use the GPU processor he (5) If you don't see activity there during training, then your GPU is likely not installed correctly for DeepLabCut. Return to the installation instructions, and be sure you installed CUDA 11+, and ran `conda install cudnn -c conda-forge` after installing DeepLabCut. -## How to install DeepLabCut for Intel and AMD GPUs on Windows +## How to install DeepLabCut for Intel and AMD GPUs on Windows for the TensorFlow engine + If you are on Windows 10/11 and have a DirectX 12 compatible GPU from any vendor (AMD, Intel, or Nvidia), you utilise GPU acceleration for inference, with an installation that is consistent between devices. This method uses [Tensorflow-directml](https://github.com/microsoft/tensorflow-directml) which uses DirectML instead of Cuda for ML training and inference. To check the DirectX version of your installed GPU, type in dxdiag into windows search and select the run command. In system information, the bottom item of the list shows your DirectX version. In addition to this ensure your standard GPU drivers are up-to-date. Updating drivers by any official means (Nvidia Geforce experience, AMD radeon software, direct from the vendor website) is fine. From 502fa51d7d812cb41b6a6d1a3371aee3918abef0 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 15:00:07 +0100 Subject: [PATCH 02/24] updated maDLC user guide; fixed CI/CD, doc building and missing docstrings --- .github/workflows/publish-book.yml | 6 +- _config.yml | 2 +- _toc.yml | 1 - deeplabcut/utils/visualization.py | 1 + docs/api/deeplabcut.analyze_videos.rst | 2 +- docs/api/deeplabcut.evaluate_network.rst | 2 +- docs/api/deeplabcut.label_frames.rst | 2 +- docs/api/deeplabcut.refine_labels.rst | 2 +- docs/api/deeplabcut.train_network.rst | 2 +- docs/benchmark.md | 2 +- docs/gui/napari_GUI.md | 1 + docs/maDLC_UserGuide.md | 437 ++++++++++++++++------- docs/pytorch/architectures.md | 30 +- docs/quick-start/tutorial_maDLC.md | 10 + 14 files changed, 343 insertions(+), 157 deletions(-) diff --git a/.github/workflows/publish-book.yml b/.github/workflows/publish-book.yml index 426e87370e..6aff2725d2 100644 --- a/.github/workflows/publish-book.yml +++ b/.github/workflows/publish-book.yml @@ -11,15 +11,15 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Set up Python 3.9 + - name: Set up Python 3.10 uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.10 - name: Install dependencies run: | python -m pip install --upgrade pip - python -m pip install .[tf,docs] + python -m pip install .[docs] pip install jupyter-book sphinxcontrib-mermaid - name: Build the book diff --git a/_config.yml b/_config.yml index c55ef8cebb..a24fcaf718 100644 --- a/_config.yml +++ b/_config.yml @@ -5,7 +5,7 @@ only_build_toc_files: true sphinx: config: - autodoc_mock_imports: ["wx"] + autodoc_mock_imports: ["wx", "matplotlib", "qtpy", "PySide6", "napari", "shiboken6"] mermaid_output_format: raw extra_extensions: - numpydoc diff --git a/_toc.yml b/_toc.yml index 471655454f..381ef40dab 100644 --- a/_toc.yml +++ b/_toc.yml @@ -49,7 +49,6 @@ parts: - file: docs/recipes/MegaDetectorDLCLive - caption: 🧑‍🍳 Cookbook (detailed helper guides) chapters: - - file: docs/tutorial - file: docs/convert_maDLC - file: docs/recipes/OtherData - file: docs/recipes/io diff --git a/deeplabcut/utils/visualization.py b/deeplabcut/utils/visualization.py index 327ed7f759..cb6b4bfd6e 100644 --- a/deeplabcut/utils/visualization.py +++ b/deeplabcut/utils/visualization.py @@ -17,6 +17,7 @@ https://github.com/DeepLabCut/DeepLabCut/blob/master/AUTHORS Licensed under GNU Lesser General Public License v3.0 """ +from __future__ import annotations import os from pathlib import Path diff --git a/docs/api/deeplabcut.analyze_videos.rst b/docs/api/deeplabcut.analyze_videos.rst index d43e39ea4c..274a801f02 100644 --- a/docs/api/deeplabcut.analyze_videos.rst +++ b/docs/api/deeplabcut.analyze_videos.rst @@ -1 +1 @@ -.. autofunction:: deeplabcut.pose_estimation_tensorflow.predict_videos.analyze_videos +.. autofunction:: deeplabcut.compat.analyze_videos diff --git a/docs/api/deeplabcut.evaluate_network.rst b/docs/api/deeplabcut.evaluate_network.rst index f24ee4c481..56914774fe 100644 --- a/docs/api/deeplabcut.evaluate_network.rst +++ b/docs/api/deeplabcut.evaluate_network.rst @@ -1 +1 @@ -.. autofunction:: deeplabcut.pose_estimation_tensorflow.core.evaluate.evaluate_network +.. autofunction:: deeplabcut.compat.evaluate_network diff --git a/docs/api/deeplabcut.label_frames.rst b/docs/api/deeplabcut.label_frames.rst index b1a810d284..4de3a1054c 100644 --- a/docs/api/deeplabcut.label_frames.rst +++ b/docs/api/deeplabcut.label_frames.rst @@ -1 +1 @@ -.. autofunction:: deeplabcut.gui.label_frames.label_frames +.. autofunction:: deeplabcut.gui.tabs.label_frames.label_frames diff --git a/docs/api/deeplabcut.refine_labels.rst b/docs/api/deeplabcut.refine_labels.rst index 7c61d5586c..b54b640e46 100644 --- a/docs/api/deeplabcut.refine_labels.rst +++ b/docs/api/deeplabcut.refine_labels.rst @@ -1 +1 @@ -.. autofunction:: deeplabcut.gui.refine_labels.refine_labels +.. autofunction:: deeplabcut.gui.tabs.label_frames.refine_labels diff --git a/docs/api/deeplabcut.train_network.rst b/docs/api/deeplabcut.train_network.rst index e724591d21..cd32c85295 100644 --- a/docs/api/deeplabcut.train_network.rst +++ b/docs/api/deeplabcut.train_network.rst @@ -1 +1 @@ -.. autofunction:: deeplabcut.pose_estimation_tensorflow.training.train_network +.. autofunction:: deeplabcut.compat.train_network diff --git a/docs/benchmark.md b/docs/benchmark.md index 114568decd..612e307d0f 100644 --- a/docs/benchmark.md +++ b/docs/benchmark.md @@ -32,4 +32,4 @@ benchmarks. For an example of how to implement a benchmark submission, refer to .. automodule:: deeplabcut.benchmark.metrics :members: :show-inheritance: -``` \ No newline at end of file +``` diff --git a/docs/gui/napari_GUI.md b/docs/gui/napari_GUI.md index 5fe4fb84c5..7f7b5de4a2 100644 --- a/docs/gui/napari_GUI.md +++ b/docs/gui/napari_GUI.md @@ -1,3 +1,4 @@ +(napari-gui)= # napari labeling GUI We replaced wxPython with PySide6 + as of version 2.3. Here is how to use the napari-aspects of the new GUI. It is available in napari-hub as a stand alone GUI as well as integrated into our main GUI, [please see docs here](https://deeplabcut.github.io/DeepLabCut/docs/PROJECT_GUI.html). diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 8f6ca7ab39..076effca23 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -4,7 +4,6 @@ This document should serve as the user guide for maDLC, and it is here to support the scientific advances presented in [Lauer et al. 2022](https://doi.org/10.1038/s41592-022-01443-0). - Note, we strongly encourage you to use the [Project Manager GUI](project-manager-gui) when you first start using multi-animal mode. Each tab is customized for multi-animal when you create or load a multi-animal project. As long as you follow the recommendations within the GUI, you should be good to go! ## How to think about using maDLC: @@ -21,9 +20,9 @@ Thus, you should always label, train, and evaluate the pose estimation performan ## Install: -**Quick start:** If you are using DeepLabCut on the cloud, or otherwise cannot use the GUIs and you should install with: `pip install 'deeplabcut'`; if you need GUI support, please use: `pip install 'deeplabcut[gui]'`. +**Quick start:** If you are using DeepLabCut on the cloud, or otherwise cannot use the GUIs and you should install with: `pip install 'deeplabcut'`; if you need GUI support, please use: `pip install 'deeplabcut[gui]'`. Check the [installation page](how-to-install) for more information, including GPU support. -IF you want to use the bleeding edge version to make edits to the code, see here on how to install it and test it (https://deeplabcut.github.io/DeepLabCut/docs/recipes/installTips.html#how-to-use-the-latest-updates-directly-from-github). +IF you want to use the bleeding edge version to make edits to the code, see [here on how to install it and test it](https://deeplabcut.github.io/DeepLabCut/docs/recipes/installTips.html#how-to-use-the-latest-updates-directly-from-github). ## Get started in the terminal or Project GUI: @@ -35,7 +34,7 @@ Then follow the tabs! It might be useful to read the following, however, so you ```{Hint} 🚨 If you use Windows, please always open the terminal with administrator privileges! Right click, and "run as administrator". ``` - Please read more [here](https://github.com/DeepLabCut/Docker4DeepLabCut2.0), and in our Nature Protocols paper [here](https://www.nature.com/articles/s41596-019-0176-0). And, see our [troubleshooting wiki](https://github.com/DeepLabCut/DeepLabCut/wiki/Troubleshooting-Tips). + Please read more [here](https://deeplabcut.github.io/DeepLabCut/docs/docker.html), and in our Nature Protocols paper [here](https://www.nature.com/articles/s41596-019-0176-0). And, see our [troubleshooting wiki](https://github.com/DeepLabCut/DeepLabCut/wiki/Troubleshooting-Tips). Open an ``ipython`` session and import the package by typing in the terminal: ```python @@ -50,13 +49,18 @@ for every function there is a associated help document that can be viewed by add ### Create a New Project: ```python -deeplabcut.create_new_project('ProjectName','YourName', ['/usr/FullPath/OfVideo1.avi', '/usr/FullPath/OfVideo2.avi', '/usr/FullPath/OfVideo1.avi'], - copy_videos=True, multianimal=True) +deeplabcut.create_new_project( + "ProjectName", + "YourName", + ["/usr/FullPath/OfVideo1.avi", "/usr/FullPath/OfVideo2.avi", "/usr/FullPath/OfVideo1.avi"], + copy_videos=True, + multianimal=True, +) ``` -Tip: if you want to place the project folder somewhere specific, please also pass : ``working_directory = 'FullPathOftheworkingDirectory'`` +Tip: if you want to place the project folder somewhere specific, please also pass : ``working_directory = "FullPathOftheworkingDirectory"`` -- Note, if you are a linux/macos user the path should look like: ``['/home/username/yourFolder/video1.mp4']``; if you are a Windows user, it should look like: ``[r'C:\username\yourFolder\video1.mp4']`` +- Note, if you are a linux/macOS user the path should look like: ``["/home/username/yourFolder/video1.mp4"]``; if you are a Windows user, it should look like: ``[r"C:\username\yourFolder\video1.mp4"]`` - Note, you can also put ``config_path = `` in front of the above line to create the path to the config.yaml that is used in the next step, i.e. ``config_path=deeplabcut.create_project(...)``) - If you do not, we recommend setting a variable so this can be easily used! Once you run this step, the config_path is printed for you once you run this line, so set a variable for ease of use, i.e. something like: ```python @@ -64,9 +68,17 @@ config_path = '/thefulloutputpath/config.yaml' ``` - just be mindful of the formatting for Windows vs. Unix, see above. -This set of arguments will create a project directory with the name **Name of the project+name of the experimenter+date of creation of the project** in the **Working directory** and creates the symbolic links to videos in the **videos** directory. The project directory will have subdirectories: **dlc-models**, **labeled-data**, **training-datasets**, and **videos**. All the outputs generated during the course of a project will be stored in one of these subdirectories, thus allowing each project to be curated in separation from other projects. The purpose of the subdirectories is as follows: +This set of arguments will create a project directory with the name **Name of the project+name of the experimenter+date of creation of the project** in the **Working directory** and creates the symbolic links to videos in the **videos** directory. The project directory will have subdirectories: **dlc-models**, **dlc-models-pytorch**, **labeled-data**, **training-datasets**, and **videos**. All the outputs generated during the course of a project will be stored in one of these subdirectories, thus allowing each project to be curated in separation from other projects. The purpose of the subdirectories is as follows: -**dlc-models:** This directory contains the subdirectories *test* and *train*, each of which holds the meta information with regard to the parameters of the feature detectors in configuration files. The configuration files are YAML files, a common human-readable data serialization language. These files can be opened and edited with standard text editors. The subdirectory *train* will store checkpoints (called snapshots in TensorFlow) during training of the model. These snapshots allow the user to reload the trained model without re-training it, or to pick-up training from a particular saved checkpoint, in case the training was interrupted. +**dlc-models** and **dlc-models-pytorch:** These directories contains the subdirectories +*test* and *train*, each of which holds the meta information with regard to the +parameters of the feature detectors in configuration files. The configuration files are +YAML files, a common human-readable data serialization language. These files can be +opened and edited with standard text editors. The subdirectory *train* will store +checkpoints (called snapshots in PyTorch/TensorFlow) during training of the model. These +snapshots allow the user to reload the trained model without re-training it, or to +pick-up training from a particular saved checkpoint, in case the training was +interrupted. **labeled-data:** This directory will store the frames used to create the training dataset. Frames from different videos are stored in separate subdirectories. Each frame has a filename related to the temporal index within the corresponding video, which allows the user to trace every frame back to its origin. @@ -75,7 +87,11 @@ This set of arguments will create a project directory with the name **Name of th **videos:** Directory of video links or videos. When **copy\_videos** is set to ``False``, this directory contains symbolic links to the videos. If it is set to ``True`` then the videos will be copied to this directory. The default is ``False``. Additionally, if the user wants to add new videos to the project at any stage, the function **add\_new\_videos** can be used. This will update the list of videos in the project's configuration file. Note: you neither need to use this folder for videos, nor is it required for analyzing videos (they can be anywhere). ```python -deeplabcut.add_new_videos('Full path of the project configuration file*', ['full path of video 4', 'full path of video 5'], copy_videos=True/False) +deeplabcut.add_new_videos( + "Full path of the project configuration file*", + ["full path of video 4", "full path of video 5"], + copy_videos=True/False, +) ``` *Please note, *Full path of the project configuration file* will be referenced as ``config_path`` throughout this protocol. @@ -101,7 +117,7 @@ deeplabcut.auxiliaryfunctions.edit_config(config_path, edits) Please DO NOT have spaces in the names of bodyparts, uniquebodyparts, individuals, etc. -**ATTENTIONt:** You need to edit the config.yaml file to **modify the following items** which specify the animal ID, body parts, and any unique labels. Note, we also highly recommend that you use **more bodypoints** that you might be interested in for your experiment, i.e., labeling along the spine/tail for 8 bodypoints would be better than four. This will help the performance. +**ATTENTION:** You need to edit the config.yaml file to **modify the following items** which specify the animal ID, bodyparts, and any unique labels. Note, we also highly recommend that you use **more bodyparts** that you might be interested in for your experiment, i.e., labeling along the spine/tail for 8 bodyparts would be better than four. This will help the performance. Modifying the `config.yaml` is crucial: @@ -123,6 +139,7 @@ multianimalbodyparts: identity: True/False ``` + **Individuals:** are names of "individuals" in the annotation dataset. These should/can be generic (e.g. mouse1, mouse2, etc.). These individuals are comprised of the same bodyparts defined by `multianimalbodyparts`. For annotation in the GUI and training, it is important that all individuals in each frame are labeled. Thus, keep in mind that you need to set individuals to the maximum number in your labeled-data set, .i.e., if there is (even just one frame) with 17 animals then the list should be `- indv1` to `- indv17`. Note, once trained if you have a video with more or less animals, that is fine - you can have more or less animals during video analysis! **Identity:** If you can tell the animals apart, i.e., one might have a collar, or a black marker on the tail of a mouse, then you should label these individuals consistently (i.e., always label the mouse with the black marker as "indv1", etc). If you have this scenario, please set `identity: True` in your `config.yaml` file. If you have 4 black mice, and you truly cannot tell them apart, then leave this as `false`. @@ -136,9 +153,17 @@ identity: True/False **CRITICAL:** A good training dataset should consist of a sufficient number of frames that capture the breadth of the behavior. This ideally implies to select the frames from different (behavioral) sessions, different lighting and different animals, if those vary substantially (to train an invariant, robust feature detector). Thus for creating a robust network that you can reuse in the laboratory, a good training dataset should reflect the diversity of the behavior with respect to postures, luminance conditions, background conditions, animal identities, etc. of the data that will be analyzed. For the simple lab behaviors comprising mouse reaching, open-field behavior and fly behavior, 100−200 frames gave good results [Mathis et al, 2018](https://www.nature.com/articles/s41593-018-0209-y). However, depending on the required accuracy, the nature of behavior, the video quality (e.g. motion blur, bad lighting) and the context, more or less frames might be necessary to create a good network. Ultimately, in order to scale up the analysis to large collections of videos with perhaps unexpected conditions, one can also refine the data set in an adaptive way (see refinement below). **For maDLC, be sure you have labeled frames with closely interacting animals!** The function `extract_frames` extracts frames from all the videos in the project configuration file in order to create a training dataset. The extracted frames from all the videos are stored in a separate subdirectory named after the video file’s name under the ‘labeled-data’. This function also has various parameters that might be useful based on the user’s need. + ```python -deeplabcut.extract_frames(config_path, mode='automatic/manual', algo='uniform/kmeans', userfeedback=False, crop=True/False) +deeplabcut.extract_frames( + config_path, + mode='automatic/manual', + algo='uniform/kmeans', + userfeedback=False, + crop=True/False, +) ``` + **CRITICAL POINT:** It is advisable to keep the frame size small, as large frames increase the training and inference time, or you might not have a large enough GPU for this. When running the function `extract_frames`, if the parameter crop=True, then you will be asked to draw a box within the GUI (and this is written to the config.yaml file). @@ -165,12 +190,20 @@ the numframes2extract in the config.yaml file. However, picking frames is highly dependent on the data and the behavior being studied. Therefore, it is hard to provide all purpose code that extracts frames to create a good training dataset for every behavior and animal. If the user feels specific frames are lacking, they can extract hand selected frames of interest using the interactive GUI provided along with the toolbox. This can be launched by using: + ```python deeplabcut.extract_frames(config_path, 'manual') ``` + The user can use the *Load Video* button to load one of the videos in the project configuration file, use the scroll bar to navigate across the video and *Grab a Frame* (or a range of frames, as of version 2.0.5) to extract the frame(s). The user can also look at the extracted frames and e.g. delete frames (from the directory) that are too similar before reloading the set and then manually annotating them. +````{admonition} Click the button to see API Docs +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.extract_frames.rst +``` +```` ### Label Frames: @@ -178,19 +211,12 @@ bar to navigate across the video and *Grab a Frame* (or a range of frames, as of deeplabcut.label_frames(config_path) ``` -As of 2.2 there is a new multi-animal labeling GUI (as long as in your `config.yaml` says `multianimalproject: true` at the top, this will automatically launch). - -The toolbox provides a function **label_frames** which helps the user to easily label all the extracted frames using -an interactive graphical user interface (GUI). The user should have already named the body parts to label (points of -interest) in the project’s configuration file by providing a list. The following command invokes the labeling toolbox. - -The user needs to use the *Load Frames* button to select the directory which stores the extracted frames from one of -the videos. Subsequently, the user can use one of the radio buttons (top right) to select a body part to label. **RIGHT** click to add the label. Left click to drag the label, if needed. If you label a part accidentally, you can use the middle button on your mouse to delete (or hit the delete key while you hover over the point)! If you cannot see a body part in the frame, skip over the label! Please see the ``HELP`` button for more user instructions. This auto-advances once you labeled the first body part. You can also advance to the next frame by clicking on the RIGHT arrow on your keyboard (and go to a previous frame with LEFT arrow). -Each label will be plotted as a dot in a unique color. - -The user is free to move around the body part and once satisfied with its position, can select another radio button -(in the top right) to switch to the respective body part (it otherwise auto-advances). The user can skip a body part if it is not visible. Once all the visible body parts are labeled, then the user can use ‘Next Frame’ to load the following frame. The user needs to save the labels after all the frames from one of the videos are labeled by clicking the save button at the bottom right. Saving the labels will create a labeled dataset for each video in a hierarchical data file format (HDF) in the -subdirectory corresponding to the particular video in **labeled-data**. You can save at any intermediate step (even without closing the GUI, just hit save) and you return to labeling a dataset by reloading it! +The toolbox provides a function **label_frames** which helps the user to easily label +all the extracted frames using an interactive graphical user interface (GUI). The user +should have already named the bodyparts to label (points of interest) in the +project’s configuration file by providing a list. The following command invokes the +napari-deeplabcut labelling GUI. Checkout the [napari-deeplabcut docs](napari-gui) for +more information about the labelling workflow. **CRITICAL POINT:** It is advisable to **consistently label similar spots** (e.g., on a wrist that is very large, try to label the same location). In general, invisible or occluded points should not be labeled by the user, unless you want to teach the network to "guess" - this is possible, but could affect accuracy. If you don't want/or don't see a bodypart, they can simply be skipped by not applying the label anywhere on the frame. @@ -205,18 +231,29 @@ Note, we also highly recommend that you use more bodypoints that you might other **Example Labeling with maDeepLabCut:** - note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be on mouse1, but across frames "mouse1" can be any of the black mice (as here it is nearly impossible to tell them apart visually). IF you can tell them apart, do label consistently! +// FIXME(niels): updated image for napari-deeplabcut annotation GUI +

+````{admonition} Click the button to see API Docs +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.label_frames.rst +``` +```` + ### Check Annotated Frames: Checking if the labels were created and stored correctly is beneficial for training, since labeling is one of the most critical parts for creating the training dataset. The DeepLabCut toolbox provides a function -‘check_labels’ to do so. It is used as follows: +`check_labels` to do so. It is used as follows: + ```python deeplabcut.check_labels(config_path, visualizeindividuals=True/False) ``` + **maDeepLabCut:** you can check and plot colors per individual or per body part, just set the flag `visualizeindividuals=True/False`. Note, you can run this twice in both states to see both images.

@@ -225,13 +262,33 @@ deeplabcut.check_labels(config_path, visualizeindividuals=True/False) For each video directory in labeled-data this function creates a subdirectory with **labeled** as a suffix. Those directories contain the frames plotted with the annotated body parts. The user can double check if the body parts are labeled correctly. If they are not correct, the user can reload the frames (i.e. `deeplabcut.label_frames`), move them around, and click save again. +````{admonition} Click the button to see API Docs +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.check_labels.rst +``` +```` ### Create Training Dataset: -At this point you also select your neural network type. Please see Lauer et al. 2021 for options. For **create_multianimaltraining_dataset** we already changed this such that by default you will use imgaug, ADAM optimization, our new DLCRNet, and batch training. We suggest these defaults at this time. Then run: +At this point, you'll need to select your neural network type. + +For the **PyTorch engine**, please see [the PyTorch Model Architectures]( +dlc3-architectures) for options. + +For the **TensorFlow engine**, please see Lauer et al. 2021 for options. Multi-animal +models will use `imgaug`, ADAM optimization, our new DLCRNet, and batch training. We +suggest keeping these defaults at this time. At this step, the ImageNet pre-trained +networks (i.e. ResNet-50) weights will be downloaded. If they do not download (you will +see this downloading in the terminal, then you may not have permission to do so ( +something we have seen with some Windows users - see the **[ +WIKI troubleshooting for more help!]( +https://github.com/DeepLabCut/DeepLabCut/wiki/Troubleshooting-Tips)**). + +Then run: ```python -deeplabcut.create_multianimaltraining_dataset(config_path) +deeplabcut.create_training_dataset(config_path) ``` - The set of arguments in the function will shuffle the combined labeled dataset and split it to create train and test @@ -242,47 +299,33 @@ keeps track of how often the dataset was refined). - OPTIONAL: If the user wishes to benchmark the performance of the DeepLabCut, they can create multiple training datasets by specifying an integer value to the `num_shuffles`; see the docstring for more details. -- Each iteration of the creation of a training dataset will create several files, which is used by the feature detectors, -and a ``.pickle`` file that contains the meta information about the training dataset. This also creates two subdirectories -within **dlc-models** called ``test`` and ``train``, and these each have a configuration file called pose_cfg.yaml. -Specifically, the user can edit the **pose_cfg.yaml** within the **train** subdirectory before starting the training. These -configuration files contain meta information with regard to the parameters of the feature detectors. Key parameters -are listed in Box 2. - -- At this step, the ImageNet pre-trained networks (i.e. ResNet-50) weights will be downloaded. If they do not download (you will see this downloading in the terminal, then you may not have permission to do so (something we have seen with some Windows users - see the **[WIKI troubleshooting for more help!](https://github.com/DeepLabCut/DeepLabCut/wiki/Troubleshooting-Tips)**). - -**OPTIONAL POINTS:** - -With the data-driven skeleton selection introduced in 2.2rc1+, DLC networks are trained by default -on complete skeletons (i.e., they learn all possible redundant connections), before being optimally pruned -at model evaluation. Although this procedure is by far superior to manually defining a graph, -we leave manually-defining a skeleton as an option for the advanced user: - -```python -my_better_graph = [[0, 1], [1, 2], [2, 3]] # These are indices in the list of multianimalbodyparts -deeplabcut.create_multianimaltraining_dataset(config_path, paf_graph=my_better_graph) -``` - -Alternatively, the `skeleton` defined in the `config.yaml` file can also be used: - -```python -deeplabcut.create_multianimaltraining_dataset(config_path, paf_graph='config') -``` - -Importantly, if a user-defined graph is used it still is required to cover all multianimalbodyparts at least once. - -**DATA AUGMENTATION:** At this stage you can also decide what type of augmentation to use. The default loaders work well for most all tasks (as shown on www.deeplabcut.org), but there are many options, more data augmentation, intermediate supervision, etc. Please look at the [**pose_cfg.yaml**](https://github.com/DeepLabCut/DeepLabCut/blob/master/deeplabcut/pose_cfg.yaml) file for a full list of parameters **you might want to change before running this step.** There are several data loaders that can be used. For example, you can use the default loader (introduced and described in the Nature Protocols paper), [TensorPack](https://github.com/tensorpack/tensorpack) for data augmentation (currently this is easiest on Linux only), or [imgaug](https://imgaug.readthedocs.io/en/latest/). We recommend `imgaug` (which is default now!). You can set this by passing:``` deeplabcut.create_training_dataset(config_path, augmenter_type='imgaug') ``` - -The differences of the loaders are as follows: -- `default`: our standard DLC 2.0 introduced in Nature Protocols variant (scaling, auto-crop augmentation) *will be renamed to `crop_scale` in a future release!* -- `imgaug`: a lot of augmentation possibilities, efficient code for target map creation & batch sizes >1 supported. You can set the parameters such as the `batch_size` in the `pose_cfg.yaml` file for the model you are training. -- `tensorpack`: a lot of augmentation possibilities, multi CPU support for fast processing, target maps are created less efficiently than in imgaug, does not allow batch size>1 -- `deterministic`: only useful for testing, freezes numpy seed; otherwise like default. - -Our recent [A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives](https://www.cell.com/neuron/pdf/S0896-6273(20)30717-0.pdf), details the advantage of augmentation for a worked example (see Fig 7). TL;DR: use imgaug and use the symmetries of your data! - - -Alternatively, you can set the loader (as well as other training parameters) in the **pose_cfg.yaml** file of the model that you want to train. Note, to get details on the options, look at the default file: [**pose_cfg.yaml**](https://github.com/DeepLabCut/DeepLabCut/blob/master/deeplabcut/pose_cfg.yaml). +- Each iteration of the creation of a training dataset will create several files, which +is used by the feature detectors, and a ``.pickle`` file that contains the meta +information about the training dataset. This also creates two subdirectories within +**dlc-models-pytorch** (**dlc-models** for the TensorFlow engine) called ``test`` and +``train``, and these each have a configuration file called pose_cfg.yaml. Specifically, +the user can edit the **pytorch_config.yaml** (**pose_cfg.yaml** for TensorFlow engine) +within the **train** subdirectory before starting the training. These configuration +files contain meta information with regard to the parameters of the feature detectors. +Key parameters are listed in Box 2. + +**DATA AUGMENTATION:** At this stage you can also decide what type of augmentation to +use. Once you've called `create_training_dataset`, you can edit the +[**pytorch_config.yaml**](dlc3-pytorch-config) file that was created (or for the +TensorFlow engine, the [**pose_cfg.yaml**]( +https://github.com/DeepLabCut/DeepLabCut/blob/master/deeplabcut/pose_cfg.yaml) file). + +- PyTorch Engine: [Albumentations](https://albumentations.ai/docs/) is used for data +augmentation. Look at the [**pytorch_config.yaml**](dlc3-pytorch-config) for more +information about image augmentation options. +- TensorFlow Engine: The default augmentation works well for most tasks (as shown on +www.deeplabcut.org), but there are many options, more data augmentation, intermediate +supervision, etc. Only `imgaug` augmentation is available for multi-animal projects. + +[A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives]( +https://www.cell.com/neuron/pdf/S0896-6273(20)30717-0.pdf), details the advantage of +augmentation for a worked example (see Fig 8). TL;DR: use imgaug and use the symmetries +of your data! Importantly, image cropping as previously done with `deeplabcut.cropimagesandlabels` in multi-animal projects is now part of the augmentation pipeline. In other words, image crops are no longer stored in labeled-data/..._cropped @@ -292,69 +335,143 @@ In addition, one can specify a crop sampling strategy: crop centers can either b As a reminder, cropping images into smaller patches is a form of data augmentation that simultaneously allows the use of batch processing even on small GPUs that could not otherwise accommodate larger images + larger batchsizes (this usually increases performance and decreasing training time). +````{admonition} Click the button to see API Docs for deeplabcut.create_training_dataset +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.create_training_dataset.rst +``` +```` -### Train The Network: - -```python -deeplabcut.train_network(config_path, allow_growth=True) +````{admonition} Click the button to see API Docs for deeplabcut.create_training_model_comparison +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.create_training_model_comparison.rst ``` +```` -The set of arguments in the function starts training the network for the dataset created for one specific shuffle. Note that you can change the loader (imgaug/default/etc) as well as other training parameters in the **pose_cfg.yaml** file of the model that you want to train (before you start training). +### Train The Network: -Example parameters that one can call: ```python -deeplabcut.train_network(config_path, shuffle=1, trainingsetindex=0, gputouse=None, max_snapshots_to_keep=5, autotune=False, displayiters=100, saveiters=15000, maxiters=30000, allow_growth=True) +deeplabcut.train_network(config_path, shuffle=1) ``` -By default, the pretrained networks are not in the DeepLabCut toolbox (as they are around 100MB each), but they get downloaded before you train. However, if not previously downloaded from the TensorFlow model weights, it will be downloaded and stored in a subdirectory *pre-trained* under the subdirectory *models* in *Pose_Estimation_Tensorflow*. -At user specified iterations during training checkpoints are stored in the subdirectory *train* under the respective iteration directory. - -If the user wishes to restart the training at a specific checkpoint they can specify the full path of the checkpoint to -the variable ``init_weights`` in the **pose_cfg.yaml** file under the *train* subdirectory (see Box 2). +The set of arguments in the function starts training the network for the dataset created +for one specific shuffle. Note that you can change training parameters in the +[**pytorch_config.yaml**](dlc3-pytorch-config) file (or **pose_cfg.yaml** for TensorFlow +models) of the model that you want to train (before you start training). -**CRITICAL POINT:** It is recommended to train the networks for thousands of iterations until the loss plateaus (typically around **500,000**) if you use batch size 1, and **50-100K** if you use batchsize 8 (the default). - -If you use **maDeepLabCut** the recommended training iterations is **20K-100K** (it automatically stops at 200K!), as we use Adam and batchsize 8; if you have to reduce the batchsize for memory reasons then the number of iterations needs to be increased. - -The variables ``display_iters`` and ``save_iters`` in the **pose_cfg.yaml** file allows the user to alter how often the loss is displayed and how often the weights are stored. - -**maDeepLabCut CRITICAL POINT:** For multi-animal projects we are using not only different and new output layers, but also new data augmentation, optimization, learning rates, and batch training defaults. Thus, please use a lower ``save_iters`` and ``maxiters``. I.e. we suggest saving every 10K-15K iterations, and only training until 50K-100K iterations. We recommend you look closely at the loss to not overfit on your data. The bonus, training time is much less!!! - -**Parameters:** -``` -config : string - Full path of the config.yaml file as a string. +At user specified iterations during training checkpoints are stored in the subdirectory +*train* under the respective iteration & shuffle directory. -shuffle: int, optional - Integer value specifying the shuffle index to select for training. Default is set to 1 +````{admonition} Click to see more tips on training models with the PyTorch Engine +:class: dropdown -trainingsetindex: int, optional - Integer specifying which TrainingsetFraction to use. By default the first (note that TrainingFraction is a list in config.yaml). - -gputouse: int, optional. Natural number indicating the number of your GPU (see number in nvidia-smi). If you do not have a GPU, put None. -See: https://nvidia.custhelp.com/app/answers/detail/a_id/3751/~/useful-nvidia-smi-queries +Example parameters that one can call: -max_snapshots_to_keep: int, or None. Sets how many snapshots are kept, i.e. states of the trained network. For every saving iteration a snapshot is stored, however, only the last max_snapshots_to_keep many are kept! If you change this to None, then all are kept. -See: https://github.com/DeepLabCut/DeepLabCut/issues/8#issuecomment-387404835 +```python +deeplabcut.train_network( + config_path, + shuffle=1, + trainingsetindex=0, + device="cuda:0", + max_snapshots_to_keep=5, + displayiters=100, + save_epochs=5, + epochs=200, +) +``` + +Pytorch models in DeepLabCut 3.0 are trained for a set number of epochs, instead of a +maximum number of iterations (which is what was used for TensorFlow models). An epoch +is a single pass through the training dataset, which means your model has seen each +training image exactly once. So if you have 64 training images for your network, an +epoch is 64 iterations with batch size 1 (or 32 iterations with batch size 2, 16 with +batch size 4, etc.). + +By default, the pretrained networks are not in the DeepLabCut toolbox (as they can be +more than 100MB), but they get downloaded automatically before you train. + +If the user wishes to restart the training at a specific checkpoint they can specify the +full path of the checkpoint to the variable ``resume_training_from`` in the [ +**pytorch_config.yaml**]( +dlc3-pytorch-config) file (checkout the "Restarting Training at a Specific Checkpoint" +section of the docs) under the *train* subdirectory. + +**CRITICAL POINT:** It is recommended to train the networks **until the loss plateaus** +(depending on the dataset, model architecture and training hyper-parameters this happens +after 100 to 250 epochs of training). + +The variables ``display_iters`` and ``save_epochs`` in the [**pytorch_config.yaml**]( +dlc3-pytorch-config) file allows the user to alter how often the loss is displayed +and how often the weights are stored. We suggest saving every 5 to 25 epochs. +```` -autotune: property of TensorFlow, somehow faster if 'false' (as Eldar found out, see https://github.com/tensorflow/tensorflow/issues/13317). Default: False +````{admonition} Tips on training models with the TensorFlow Engine +:class: dropdown -displayiters: this variable is actually set in pose_config.yaml. However, you can overwrite it with this hack. Don't use this regularly, just if you are too lazy to dig out -the pose_config.yaml file for the corresponding project. If None, the value from there is used, otherwise it is overwritten! Default: None +Example parameters that one can call: -saveiters: this variable is actually set in pose_config.yaml. However, you can overwrite it with this hack. Don't use this regularly, just if you are too lazy to dig out -the pose_config.yaml file for the corresponding project. If None, the value from there is used, otherwise it is overwritten! Default: None +```python +deeplabcut.train_network( + config_path, + shuffle=1, + trainingsetindex=0, + gputouse=None, + max_snapshots_to_keep=5, + autotune=False, + displayiters=100, + saveiters=15000, + maxiters=30000, + allow_growth=True, +) +``` + +By default, the pretrained networks are not in the DeepLabCut toolbox (as they are +around 100MB each), but they get downloaded before you train. However, if not previously +downloaded from the TensorFlow model weights, it will be downloaded and stored in a +subdirectory *pre-trained* under the subdirectory *models* in +*Pose_Estimation_Tensorflow*. At user specified iterations during training checkpoints +are stored in the subdirectory *train* under the respective iteration directory. + +If the user wishes to restart the training at a specific checkpoint they can specify the +full path of the checkpoint to the variable ``init_weights`` in the **pose_cfg.yaml** +file under the *train* subdirectory (see Box 2). + +**CRITICAL POINT:** It is recommended to train the networks for thousands of iterations +until the loss plateaus (typically around **500,000**) if you use batch size 1, and +**50-100K** if you use batchsize 8 (the default). + +If you use **maDeepLabCut** the recommended training iterations is **20K-100K** +(it automatically stops at 200K!), as we use Adam and batchsize 8; if you have to reduce + the batchsize for memory reasons then the number of iterations needs to be increased. + +The variables ``display_iters`` and ``save_iters`` in the **pose_cfg.yaml** file allows +the user to alter how often the loss is displayed and how often the weights are stored. + +**maDeepLabCut CRITICAL POINT:** For multi-animal projects we are using not only +different and new output layers, but also new data augmentation, optimization, learning +rates, and batch training defaults. Thus, please use a lower ``save_iters`` and +``maxiters``. I.e. we suggest saving every 10K-15K iterations, and only training until +50K-100K iterations. We recommend you look closely at the loss to not overfit on your +data. The bonus, training time is much less!!! +```` -maxiters: This sets how many iterations to train. This variable is set in pose_config.yaml. However, you can overwrite it with this. If None, the value from there is used, otherwise it is overwritten! Default: None +````{admonition} Click the button to see API Docs for train_network +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.train_network.rst ``` +```` ### Evaluate the Trained Network: Here, for traditional projects you will get a pixel distance metric and you should inspect the individual frames: + ```python deeplabcut.evaluate_network(config_path, plotting=True) ``` -:movie_camera:[VIDEO TUTORIAL AVAILABLE!](https://www.youtube.com/watch?v=bgfnz1wtlpo) + +🎥 [VIDEO TUTORIAL AVAILABLE!](https://www.youtube.com/watch?v=bgfnz1wtlpo) It is important to evaluate the performance of the trained network. This performance is measured by computing the mean average Euclidean error (MAE; which is proportional to the average root mean square error) between the @@ -362,29 +479,23 @@ manual labels and the ones predicted by DeepLabCut. The MAE is saved as a comma for all pairs and only likely pairs (>p-cutoff). This helps to exclude, for example, occluded body parts. One of the strengths of DeepLabCut is that due to the probabilistic output of the scoremap, it can, if sufficiently trained, also reliably report if a body part is visible in a given frame. (see discussions of finger tips in reaching and the Drosophila -legs during 3D behavior in [Mathis et al, 2018]). The evaluation results are computed by typing: +legs during 3D behavior in [Mathis et al, 2018]). + +````{admonition} Click the button to see API Docs for evaluate_network +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.evaluate_network.rst +``` +```` Setting ``plotting`` to True plots all the testing and training frames with the manual and predicted labels; these will -be colored by body part type by default. They can alternatively be colored by individual by passing `plotting`=`individual`. +be colored by body part type by default. They can alternatively be colored by individual by passing `plotting="individual"`. The user should visually check the labeled test (and training) images that are created in the ‘evaluation-results’ directory. Ideally, DeepLabCut labeled unseen (test images) according to the user’s required accuracy, and the average train and test errors are comparable (good generalization). What (numerically) comprises an acceptable MAE depends on many factors (including the size of the tracked body parts, the labeling variability, etc.). Note that the test error can also be larger than the training error due to human variability (in labeling, see Figure 2 in Mathis et al, Nature Neuroscience 2018). -**Optional parameters:** -``` - Shuffles: list, optional -List of integers specifying the shuffle indices of the training dataset. The default is [1] - - plotting: bool, optional -Plots the predictions on the train and test images. The default is `False`; if provided it must be either `True` or `False` - - show_errors: bool, optional -Display train and test errors. The default is `True` - - comparisonbodyparts: list of bodyparts, Default is all -The average error will be computed for those body parts only (Has to be a subset of the body parts). - - gputouse: int, optional -Natural number indicating the number of your GPU (see number in nvidia-smi). If you do not have a GPU, put None. See: https://nvidia.custhelp.com/app/answers/detail/a_id/3751/~/useful-nvidia-smi-queries -``` - The plots can be customized by editing the **config.yaml** file (i.e., the colormap, scale, marker size (dotsize), and transparency of labels (alphavalue) can be modified). By default each body part is plotted in a different color (governed by the colormap) and the plot labels indicate their source. Note that by default the human labels are @@ -416,6 +527,7 @@ You should also plot the scoremaps, locref layers, and PAFs to assess performanc ```python deeplabcut.extract_save_all_maps(config_path, shuffle=shuffle, Indices=[0, 5]) ``` + you can drop "Indices" to run this on all training/testing images (this is very slow!) ### Evaluating your network on videos @@ -428,12 +540,29 @@ you can drop "Indices" to run this on all training/testing images (this is very Please run: ```python -scorername = deeplabcut.analyze_videos(config_path,['/fullpath/project/videos/testVideo.mp4'], videotype='.mp4') -deeplabcut.create_video_with_all_detections(config_path, ['/fullpath/project/videos/testVideo.mp4'], videotype='.mp4') -``` -Please note that you do **not** get the .h5/csv file you might be used to getting (this comes after tracking). You will get a `pickle` file that is used in `create_video_with_all_detections`. -Another sanity check may be to examine the distributions of edge affinity costs using `deeplabcut.utils.plot_edge_affinity_distributions`. Easily separable distributions indicate that the model has learned strong links to group keypoints into distinct individuals — likely a necessary feature for the assembly stage (note that the amount of overlap will also depend on the amount of interactions between your animals in the daset). -IF you have good clean out video, ending in `....full.mp4` (and the evaluation metrics look good, scoremaps look good, plotted evaluation images, and affinity distributions are far apart for most edges), then go forward!!! +videos_to_analyze = ['/fullpath/project/videos/testVideo.mp4'] +scorername = deeplabcut.analyze_videos(config_path, videos_to_analyze, videotype='.mp4') +deeplabcut.create_video_with_all_detections(config_path, videos_to_analyze, videotype='.mp4') +``` + +Please note that you do **not** get the .h5/csv file you might be used to getting (this +comes after tracking). You will get a `pickle` file that is used in +`create_video_with_all_detections`. + +For models predicting part-affinity fields (TensorFlow multi-animal models, and PyTorch +models consisting of just a backbone name (e.g. `resnet_50`, `resnet_101`) use +part-affinity fields. If you're unsure whether your PyTorch model has a one, check the +**pytorch_config.yaml** for a `DLCRNetHead`._), another sanity check may be to examine +the distributions of edge affinity costs using +`deeplabcut.utils.plot_edge_affinity_distributions`. Easily separable distributions +indicate that the model has learned strong links to group keypoints into distinct +individuals — likely a necessary feature for the assembly stage (note that the amount of +overlap will also depend on the amount of interactions between your animals in the +dataset). + +IF you have good clean out video, ending in `....full.mp4` (and the evaluation metrics +look good, scoremaps look good, plotted evaluation images, and affinity distributions +are far apart for most edges), then go forward!!! If this does not look good, we recommend extracting and labeling more frames (even from more videos). Try to label close interactions of animals for best performance. Once you label more, you can create a new training set and train. @@ -441,30 +570,53 @@ You can either: 1. extract more frames manually from existing or new videos and label as when initially building the training data set, or 2. let DeepLabCut find frames where keypoints were poorly detected and automatically extract those for you. All you need is to run: + ```python deeplabcut.find_outliers_in_raw_data(config_path, pickle_file, video_file) ``` + where pickle_file is the `_full.pickle` one obtains after video analysis. Flagged frames will be added to your collection of images in the corresponding labeled-data folders for you to label. ## Animal Assembly and Tracking across frames -After pose estimation, now you perform assembly and tracking. *NEW* in 2.2 is a novel data-driven way to set the optimal skeleton and assembly metrics, so this no longer requires user input. The metrics, in case you do want to edit them, can be found in the `inference_cfg.yaml` file. +After pose estimation, now you perform assembly and tracking. + +````{versionadded} v2.2.0 +*NEW* in 2.2 is a novel data-driven way to set the optimal skeleton and assembly +metrics, so this no longer requires user input. The metrics, in case you do want to edit +them, can be found in the `inference_cfg.yaml` file. +```` ### Optimized Animal Assembly + Video Analysis: -- Please note that **novel videos DO NOT need to be added to the config.yaml file**. You can simply have a folder elsewhere on your computer and pass the video folder (then it will analyze all videos of the specified type (i.e. ``videotype='.mp4'``), or pass the path to the **folder** or exact video(s) you wish to analyze: +Please note that **novel videos DO NOT need to be added to the config.yaml file**. You +can simply have a folder elsewhere on your computer and pass the video folder (then it +will analyze all videos of the specified type (i.e. ``videotype='.mp4'``), or pass the +path to the **folder** or exact video(s) you wish to analyze: ```python deeplabcut.analyze_videos(config_path, ['/fullpath/project/videos/'], videotype='.mp4', auto_track=True) ``` + #### IF auto_track = True: -- *NEW* in 2.2.0.3+: `deeplabcut.analyze_videos` has a new argument `auto_track=True`, chaining pose estimation, tracking, and stitching in a single function call with defaults we found to work well. Thus, you'll now get the `.h5` file you might be used to getting in standard DLC. If `auto_track=False`, one must run `convert_detections2tracklets` and `stitch_tracklets` manually (see below), granting more control over the last steps of the workflow (ideal for advanced users). +```{versionadded} v2.2.0.3 +A new argument `auto_track=True`, was added to `deeplabcut.analyze_videos` chaining pose +estimation, tracking, and stitching in a single function call with defaults we found to +work well. Thus, you'll now get the `.h5` file you might be used to getting in standard +DLC. If `auto_track=False`, one must run `convert_detections2tracklets` and +`stitch_tracklets` manually (see below), granting more control over the last steps of +the workflow (ideal for advanced users). +``` #### IF auto_track = False: - - You can validate the tracking parameters. Namely, you can iteratively change the parameters, run `convert_detections2tracklets` then load them in the GUI (`refine_tracklets`) if you want to look at the performance. If you want to edit these, you will need to open the `inference_cfg.yaml` file (or click button in GUI). The options are: +You can validate the tracking parameters. Namely, you can iteratively change the +parameters, run `convert_detections2tracklets` then load them in the GUI +(`refine_tracklets`) if you want to look at the performance. If you want to edit these, +you will need to open the `inference_cfg.yaml` file (or click button in GUI). The +options are: ```python # Tracking: @@ -503,8 +655,13 @@ from the final h5 file as was customary in single animal projects. **Next, tracklets are stitched to form complete tracks with: ```python -deeplabcut.stitch_tracklets(config_path, ['videofile_path'], videotype='mp4', - shuffle=1, trainingsetindex=0) +deeplabcut.stitch_tracklets( + config_path, + ['videofile_path'], + videotype='mp4', + shuffle=1, + trainingsetindex=0, +) ``` Note that the base signature of the function is identical to `analyze_videos` and `convert_detections2tracklets`. @@ -515,15 +672,19 @@ can be directly specified as follows: ```python deeplabcut.stitch_tracklets(..., n_tracks=n) ``` + In such cases, file columns will default to dummy animal names (ind1, ind2, ..., up to indn). ### Using Unsupervised Identity Tracking: -In Lauer et al. 2022 we introduced a new method to do unsupervised reID of animals. Here, you can use the tracklets to learn the identity of animals to enhance your tracking performance. To use the code: +In Lauer et al. 2022 we introduced a new method to do unsupervised reID of animals. +Here, you can use the tracklets to learn the identity of animals to enhance your +tracking performance. To use the code: ```python deeplabcut.transformer_reID(config, videos_to_analyze, n_tracks=None, videotype="mp4") ``` + Note you should pass the n_tracks (number of animals) you expect to see in the video. ### Refine Tracklets: diff --git a/docs/pytorch/architectures.md b/docs/pytorch/architectures.md index 4e41be29a1..78b0429eeb 100644 --- a/docs/pytorch/architectures.md +++ b/docs/pytorch/architectures.md @@ -10,22 +10,32 @@ from deeplabcut.pose_estimation_pytorch import available_models print(available_models()) ``` -## Backbones (neural networks) +You can see a list of supported object detection architectures/variants by using: -Several backbones are currently implemented in DeepLabCut PyTorch (more will come, and you can add more easily in our new model registry). +```python +from deeplabcut.pose_estimation_pytorch import available_detectors +print(available_detectors()) +``` + +## Neural Networks Architectures + +Several architectures are currently implemented in DeepLabCut PyTorch (more will come, +and you can add more easily in our new model registry). **ResNets** - Adapted from [He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. 2016.](https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html) and [Insafutdinov, Eldar et al. "DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model". European Conference on Computer Vision (ECCV) 2016.] -- Current variants are `resnet_50`, `resnet_101`, `top_down_resnet_101`, `top_down_resnet_50` +- Current bottom-up variants are `resnet_50`, `resnet_101` +- Current top-down variants are `top_down_resnet_101`, `top_down_resnet_50` **HRNet** - Adapted from [Wang, Jingdong, et al. "Deep high-resolution representation learning for visual recognition." IEEE transactions on pattern analysis and machine intelligence 43.10 (2020): 3349-3364.](https://arxiv.org/abs/1908.07919) -- Current variants are `hrnet_w18`, `hrnet_w32`, `hrnet_w48`, `top_down_hrnet_w18`, `top_down_hrnet_w32`, `top_down_hrnet_w48` +- Current variants are `hrnet_w18`, `hrnet_w32`, `hrnet_w48`, +- Current top-down variants are `top_down_hrnet_w18`, `top_down_hrnet_w32`, `top_down_hrnet_w48` - Slower but typically more powerful than ResNets **DEKR** - Adapted from [Geng, Zigang et al. "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression." Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. 2021.](https://openaccess.thecvf.com/content/CVPR2021/papers/Geng_Bottom-Up_Human_Pose_Estimation_via_Disentangled_Keypoint_Regression_CVPR_2021_paper.pdf) -- This model uses HRNet as a backbone. It learns to predict the center of each animal, and predicts the offset between each animal center and their keypoints +- This model is a bottom-up model using HRNet as a backbone. It learns to predict the center of each animal, and predicts the offset between each animal center and their keypoints - Current variants that are implemented (from smallest to largest): `dekr_w18`, `dekr_w32`, `dekr_w48` - Note, this is a powerful multi-animal model but very heavy (slow) @@ -40,6 +50,10 @@ Several backbones are currently implemented in DeepLabCut PyTorch (more will co - This model uses a multi-scale variant of a ResNet as a backbone, and part-affinity fields to assemble individuals - Variants: `dlcrnet_stride16_ms5`, `dlcrnet_stride32_ms5` +**RTMPose** +- From [Jiang, Tao et al. "RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose"](https://arxiv.org/abs/2303.07399) +- Top-down pose estimation model using a fast CSPNeXt backbone with a SimCC-style head +- Variants: `rtmpose_s`, `rtmpose_m`, `rtmpose_x` **AnimalTokenPose** - Adapted from [Li, Yanjie, et al. "Tokenpose: Learning keypoint tokens for human pose estimation." Proceedings of the IEEE/CVF International conference on computer vision. 2021.](https://arxiv.org/abs/2104.03516) as in Ye et al. "SuperAnimal pretrained pose estimation models for behavioral analysis." Nature Communications. 2024](https://arxiv.org/abs/2203.07436) @@ -78,11 +92,11 @@ individual). As localization of individuals is handled by the detector, this sim the pose task to single-animal pose estimation! Hence any single-animal model can be transformed into a top-down, multi-animal model. To -do so, simply prefix `top_down` to your single-animal model name. Currently only a -single FasterRCNN variant is available as a detector. Other variants will be added soon! +do so, simply prefix `top_down` to your single-animal model name. Currently, the +following detectors are available: ``. Other variants will be added soon! The pose model for top-down nets is simply the backbone followed by a single convolution for pose estimation. It's also possible to add deconvolutional layers to top-down model heads. -Example top-down models would be `top_down_resnet_50` and `top_down_hrnet_w32`. \ No newline at end of file +Example top-down models would be `top_down_resnet_50` and `top_down_hrnet_w32`. diff --git a/docs/quick-start/tutorial_maDLC.md b/docs/quick-start/tutorial_maDLC.md index 947e036513..507ad559d8 100644 --- a/docs/quick-start/tutorial_maDLC.md +++ b/docs/quick-start/tutorial_maDLC.md @@ -69,7 +69,17 @@ deeplabcut.create_multianimaltraining_dataset( ``` **(7) Train the network** + ```python +# PyTorch Engine +deeplabcut.train_network( + config_path, + device="cuda", + save_epochs=5, + epochs=200, +) + +# TensorFlow Engine deeplabcut.train_network( config_path, saveiters=10000, From 898ddd6de0aa364fc84d9704c0902e913421adcc Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 15:22:53 +0100 Subject: [PATCH 03/24] remove broken API doc --- docs/maDLC_UserGuide.md | 7 ------- 1 file changed, 7 deletions(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 076effca23..0f95b792d6 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -237,13 +237,6 @@ Note, we also highly recommend that you use more bodypoints that you might other

-````{admonition} Click the button to see API Docs -:class: dropdown -```{eval-rst} -.. include:: ./api/deeplabcut.label_frames.rst -``` -```` - ### Check Annotated Frames: Checking if the labels were created and stored correctly is beneficial for training, since labeling From c0fb051e0d0b5212ec8ee0a097163d2bc430fe66 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 15:36:19 +0100 Subject: [PATCH 04/24] update pytorch docs --- docs/pytorch/architectures.md | 3 ++- docs/pytorch/pytorch_config.md | 3 ++- docs/pytorch/user_guide.md | 33 ++++++++++++++++----------------- 3 files changed, 20 insertions(+), 19 deletions(-) diff --git a/docs/pytorch/architectures.md b/docs/pytorch/architectures.md index 78b0429eeb..53dfaca621 100644 --- a/docs/pytorch/architectures.md +++ b/docs/pytorch/architectures.md @@ -93,7 +93,8 @@ the pose task to single-animal pose estimation! Hence any single-animal model can be transformed into a top-down, multi-animal model. To do so, simply prefix `top_down` to your single-animal model name. Currently, the -following detectors are available: ``. Other variants will be added soon! +following detectors are available: `ssdlite`, `fasterrcnn_mobilenet_v3_large_fpn`, +`fasterrcnn_resnet50_fpn_v2`. Other variants will be added soon! The pose model for top-down nets is simply the backbone followed by a single convolution for pose estimation. It's also possible to add deconvolutional layers to top-down model diff --git a/docs/pytorch/pytorch_config.md b/docs/pytorch/pytorch_config.md index 35af20158c..b070ad0b6a 100644 --- a/docs/pytorch/pytorch_config.md +++ b/docs/pytorch/pytorch_config.md @@ -26,6 +26,7 @@ runner: # configuring the runner used for training train_settings: # generic training settings, such as batch size and maximum number of epochs ... logger: # optional: the configuration for a logger if you want one +resume_training_from: # optional: restart the training at the specific checkpoint ``` ## Sections @@ -389,7 +390,6 @@ warmup epochs, and a second scheduler later. An example usage would be: - 5 ``` - ### Train Settings The `train_settings` key contains parameters that are specific to training. For more @@ -495,6 +495,7 @@ detector: ... train_settings: # detector train settings (same keys as for the pose model) ... + resume_training_from: # optional: restart the training at the specific checkpoint ``` Currently, the only detectors available are `FasterRCNN` and `SSDLite`. However, multiple variants of diff --git a/docs/pytorch/user_guide.md b/docs/pytorch/user_guide.md index 50de78cc00..c8a2d877b3 100644 --- a/docs/pytorch/user_guide.md +++ b/docs/pytorch/user_guide.md @@ -4,26 +4,29 @@ ## Using DeepLabCut 3.0 **DeepLabCut 3.0 keeps the same high-level API that you know, but has a full new PyTorch backend. -Moreover, it is a rewrite that more developer friendly, more powerful, and built for modern deep +Moreover, it is a rewrite that is more developer friendly, more powerful, and built for modern deep learning-based computer vision applications.** -**NOTE**🔥: We suggest that if you're just starting with DeepLabCut you start with the PyTorch backend. -You will easily know which "engine" you are using by looking at the main `config.yaml` file, or top right corner in the GUI. -If you have DeepLabCut projects in TensorFlow, we've got you covered too: you can seamlessly switch to train your already labeled data -by simply switching the engine (and thereby also compare performance). In short, expect a boost 🔥. +**NOTE**🔥: We suggest that if you're just starting with DeepLabCut you start with the +PyTorch backend. You will easily know which "engine" you are using by looking at the +main `config.yaml` file, or top right corner in the GUI. If you have DeepLabCut projects +in TensorFlow, we've got you covered too: you can seamlessly switch to train your +already labeled data by simply switching the engine (and thereby also compare +performance). In short, expect a boost 🔥. -In short, PyTorch models can be trained in any DeepLabCut project. If you have a project already made, simply add a new key to your -project `config.yaml` file specifying `engine: pytorch`. Then any new training dataset -that will be created will be a PyTorch model (see -[Creating Shuffles and Model Configuration](#Creating-Shuffles-and-Model-Configuration)) -to learn more about training PyTorch models. To train Tensorflow models again, you can -set `engine: tensorflow`. +In short, PyTorch models can be trained in any DeepLabCut project. If you have a project +already made, simply add a new key to your project `config.yaml` file specifying +`engine: pytorch`. Then any new training dataset that will be created will be a PyTorch +model (see [Creating Shuffles and Model Configuration]( +#Creating-Shuffles-and-Model-Configuration)) to learn more about training PyTorch +models. To train Tensorflow models again, you can set `engine: tensorflow`. ### Installation During the alpha phase, you can use the `yaml` we provide, or create a new `env`. - If you are a beginner user, [please see these docs!](https://deeplabcut.github.io/DeepLabCut/docs/beginner-guides/beginners-guide.html) - If you are an advanced user, here is a quick start. [“Install PyTorch”](https://pytorch.org/get-started/locally/), then: + ``` conda install -c conda-forge pytables==3.8.0 pip install git+https://github.com/DeepLabCut/DeepLabCut.git@pytorch_dlc#egg=deeplabcut[gui,modelzoo,wandb] @@ -31,12 +34,8 @@ pip install git+https://github.com/DeepLabCut/DeepLabCut.git@pytorch_dlc#egg=dee ### Using the GUI -You can use the GUI to train DeepLabCut projects. However, you cannot switch between -PyTorch and Tensorflow models while using the GUI. If you have set your engine to -`pytorch`, then the GUI will only offer the creation of PyTorch shuffles. - -You can create `tensorflow` shuffles and train them again by setting the -`engine: tensorflow` in the top right corner of the GUI. +You can use the GUI to train DeepLabCut projects. You can switch between the PyTorch +and TensorFlow engine through the drop-down menu in the top right corner. ## Major changes From f9001d040c399149d3a05673195e2f3cefb2ca6a Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 15:44:42 +0100 Subject: [PATCH 05/24] begginer's guide updates --- docs/beginner-guides/beginners-guide.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/beginner-guides/beginners-guide.md b/docs/beginner-guides/beginners-guide.md index 0c8d323647..8c760d78d4 100644 --- a/docs/beginner-guides/beginners-guide.md +++ b/docs/beginner-guides/beginners-guide.md @@ -38,13 +38,13 @@ Now, we are going to install the core dependencies. The way this works is that t `PyTorch` is the backend deep-learning language we wrote DLC3 in. To select the right version, head to the [“Install PyTorch”](https://pytorch.org/get-started/locally/) instructions in the official PyTorch Docs. Select your desired PyTorch build, operating system, select conda as your package manager and Python as the language. Select your compute platform (either a CUDA version or CPU only). Then, use the command to install the PyTorch package. Below are a few possible examples: -- **GPU version of pytorch for CUDA 11.8** +- **GPU version of pytorch for CUDA 12.4** ``` -conda install pytorch cudatoolkit=11.8 -c pytorch +pip install torch torchvision --index-url https://download.pytorch.org/whl/cu124 ``` - **CPU only version of pytorch, using the latest version** ``` -conda install pytorch cpuonly -c pytorch +pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu ``` **(2) Install DeepLabCut** @@ -61,7 +61,7 @@ pip install "git+https://github.com/DeepLabCut/DeepLabCut.git@pytorch_dlc#egg=de ``` - OR run for the **Stable release:** ``` -pip install "deeplabcut[gui,modelzoo,tf]" +pip install "deeplabcut[gui,modelzoo,wandb]" ``` - This gives you DeepLabCut, the DLC GUI (gui), our latest neural networks (modelzoo) and a cool data logger (wandb) if you choose to use it later on! From 2f2dac05b896193e6131a0e6c60f24b755bbccef Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 16:24:47 +0100 Subject: [PATCH 06/24] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1e35326214..85e33e7cf9 100644 --- a/README.md +++ b/README.md @@ -66,7 +66,7 @@ Developers Stable Release: very quick start (Python 3.10+ required) - [Install PyTorch](https://pytorch.org/get-started/locally/) (**select the desired CUDA version**): `pip install torch torchvision` - Then [install `pytables`](https://www.pytables.org/usersguide/installation.html): `conda install -c conda-forge pytables==3.8.0` - - Finally install `DeepLabCut`: `pip install deeplabcut`! + - Finally install `DeepLabCut`: `pip install "deeplabcut>=3.0"`! - To use TensorFlow models (up to v2.10 supported across platforms; up to v2.12 supported on Linux) `pip install "deeplabcut[gui,tf]"` that includes all functions plus GUIs, or `pip install deeplabcut[tf]` (headless version with PyTorch and TensorFlow). From 0ff5b9a6b17f1b73cceb1e919cfa071783755cd2 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 16:32:47 +0100 Subject: [PATCH 07/24] added version 3.0 block --- docs/maDLC_UserGuide.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 0f95b792d6..b06e093463 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -6,6 +6,13 @@ and it is here to support the scientific advances presented in [Lauer et al. 202 Note, we strongly encourage you to use the [Project Manager GUI](project-manager-gui) when you first start using multi-animal mode. Each tab is customized for multi-animal when you create or load a multi-animal project. As long as you follow the recommendations within the GUI, you should be good to go! +````{versionadded} v3.0.0 +PyTorch is now available as a deep learning engine for pose estimation models, along +with new model architectures! For more information about moving from TensorFlow to +PyTorch, check out [the PyTorch user guide](dlc3-user-guide). If you're just starting +out with DeepLabCut, we suggest you use the PyTorch backend. +```` + ## How to think about using maDLC: You should think of maDLC being **four** parts. From 036f4c17e660d21b967b3332b4873693789cbd64 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 16:33:27 +0100 Subject: [PATCH 08/24] fix typo --- docs/maDLC_UserGuide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index b06e093463..689deff2ec 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -6,7 +6,7 @@ and it is here to support the scientific advances presented in [Lauer et al. 202 Note, we strongly encourage you to use the [Project Manager GUI](project-manager-gui) when you first start using multi-animal mode. Each tab is customized for multi-animal when you create or load a multi-animal project. As long as you follow the recommendations within the GUI, you should be good to go! -````{versionadded} v3.0.0 +````{versionadded} 3.0.0 PyTorch is now available as a deep learning engine for pose estimation models, along with new model architectures! For more information about moving from TensorFlow to PyTorch, check out [the PyTorch user guide](dlc3-user-guide). If you're just starting From bc826b2082b2b1095fd8f8acaf97d061d02c285e Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Fri, 31 Jan 2025 16:50:00 +0100 Subject: [PATCH 09/24] fix typo --- docs/maDLC_UserGuide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 689deff2ec..b4130a782a 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -363,7 +363,7 @@ models) of the model that you want to train (before you start training). At user specified iterations during training checkpoints are stored in the subdirectory *train* under the respective iteration & shuffle directory. -````{admonition} Click to see more tips on training models with the PyTorch Engine +````{admonition} Tips on training models with the PyTorch Engine :class: dropdown Example parameters that one can call: From 3e37bf0f5f7f7ed56981385b39988ab6cd22baef Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 3 Feb 2025 17:30:11 +0100 Subject: [PATCH 10/24] update tech hardware --- docs/recipes/TechHardware.md | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/docs/recipes/TechHardware.md b/docs/recipes/TechHardware.md index f4610f5442..879fc67dfb 100644 --- a/docs/recipes/TechHardware.md +++ b/docs/recipes/TechHardware.md @@ -23,10 +23,20 @@ The software is very robust to track data from any camera (cell phone cameras, g **Anaconda/Python3:** Anaconda: a free and open source distribution of the Python programming language (download from https://www.anaconda.com/). DeepLabCut is written in Python 3 (https://www.python.org/) and not compatible with Python 2. - -**TensorFlow** You will need [TensorFlow](https://www.tensorflow.org/) (we used version 1.0 in the paper, later versions also work with the provided code (we tested **TensorFlow versions 1.0 to 1.15, and 2.0 to 2.5**; we recommend TF2.5 now) for Python 3.7, 3.8, or 3.9 with GPU support. - -To note, is it possible to run DeepLabCut on your CPU, but it will be VERY slow (see: [Mathis & Warren](https://www.biorxiv.org/content/early/2018/10/30/457242)). However, this is the preferred path if you want to test DeepLabCut on your own computer/data before purchasing a GPU, with the added benefit of a straightforward installation! Otherwise, use our COLAB notebooks for GPU access for testing. - -Docker: We highly recommend advaced users use the supplied [Docker container](https://github.com/MMathisLab/Docker4DeepLabCut2.0). -NOTE: [this container does not work on windows hosts!](https://github.com/NVIDIA/nvidia-docker/issues/43) +**For the TensorFlow Engine:** You will need [TensorFlow](https://www.tensorflow.org/). +We used version 1.0 in the paper, later versions also work with the provided code (we +tested **TensorFlow versions 1.0 to 1.15, and 2.0 to 2.12 (2.10 for Windows)**; we +recommend TF2.12 for MacOS/Ubuntu and 2.10 for Windows) for Python 3.10 with GPU +support. + +To note, is it possible to run DeepLabCut on your CPU, but it will be VERY slow (see: +[Mathis & Warren](https://www.biorxiv.org/content/early/2018/10/30/457242)). However, this is the preferred path if you want to test +DeepLabCut on your own computer/data before purchasing a GPU, with the added benefit of +a straightforward installation! Otherwise, use our COLAB notebooks for GPU access for +testing. + +Docker: We highly recommend advanced users use the supplied [Docker container]( +docker-containers). + +NOTE: [Currently GPU support in Docker Desktop is only available on Windows with the +WSL2 backend.](https://docs.docker.com/desktop/features/gpu/) From b50a3a25638bbc716e8456e29b3db870a84f49d7 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 3 Feb 2025 17:34:44 +0100 Subject: [PATCH 11/24] update links in other data --- docs/recipes/OtherData.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/recipes/OtherData.md b/docs/recipes/OtherData.md index 1d9e648d70..73343284b3 100644 --- a/docs/recipes/OtherData.md +++ b/docs/recipes/OtherData.md @@ -9,12 +9,12 @@ Some users may have annotation data in different formats, yet want to use the DL Here is a guide to do this via the ".csv" route: (the pandas array route is identical, just format the pandas array in the same way). -**Step 1**: create a project as describe in the user guide: https://github.com/AlexEMG/DeepLabCut/blob/master/docs/UseOverviewGuide.md#create-a-new-project +**Step 1**: create a project as describe in the user guide: https://github.com/DeepLabCut/DeepLabCut/blob/main/docs/UseOverviewGuide.md#create-a-new-project **Step 2**: edit the ``config.yaml`` file to include the body part names, please take care that spelling, spacing, and capitalization are IDENTICAL to the "labeled data body part names". -**Step 3**: Please inspect the excel formatted sheet (.csv) from our [demo project](https://github.com/AlexEMG/DeepLabCut/tree/master/examples/Reaching-Mackenzie-2018-08-30/labeled-data/reachingvideo1) -- i.e. this file: https://github.com/AlexEMG/DeepLabCut/blob/master/examples/Reaching-Mackenzie-2018-08-30/labeled-data/reachingvideo1/CollectedData_Mackenzie.csv +**Step 3**: Please inspect the excel formatted sheet (.csv) from our [demo project](https://github.com/DeepLabCut/DeepLabCut/tree/main/examples/Reaching-Mackenzie-2018-08-30/labeled-data/reachingvideo1) +- i.e. this file: https://github.com/DeepLabCut/DeepLabCut/blob/main/examples/Reaching-Mackenzie-2018-08-30/labeled-data/reachingvideo1/CollectedData_Mackenzie.csv **Step 4**: Edit the .csv file such that it contains the X, Y pixel coordinates, the body part names, the scorer name as well as the relative path to the image: e.g. /labeled-data/somefolder/img017.jpg Then make sure the scorer name, and body parts are the same in the config.yaml file. From 1e03779397584e7a1c950c9b6e525810f7d021d9 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 3 Feb 2025 18:00:59 +0100 Subject: [PATCH 12/24] improved model training tips & tricks --- docs/recipes/nn.md | 142 +++++++++++++++++++++++++++------------------ 1 file changed, 84 insertions(+), 58 deletions(-) diff --git a/docs/recipes/nn.md b/docs/recipes/nn.md index 75b44e315f..77de11920b 100644 --- a/docs/recipes/nn.md +++ b/docs/recipes/nn.md @@ -1,15 +1,15 @@ # Model training tips & tricks -## Limiting a GPU's memory consumption +## TensorFlow Engine: Limiting a GPU's memory consumption -All GPU memory is allocated to training by default, preventing +With TensorFlow, all GPU memory is allocated to training by default, preventing other Tensorflow processes from being run on the same machine. -A flexible solution to limiting memory usage is to call `deeplabcut.train(..., allow_growth=True)`, -which dynamically grows the GPU memory region as it is needed. -Another, stricter option is to explicitly cap GPU usage to only a fraction -of the available memory. For example, allocating a maximum of 1/4 of the total -memory could be done as follows: +A flexible solution to limiting memory usage is to call +`deeplabcut.train(..., allow_growth=True)`, which dynamically grows the GPU memory +region as it is needed. Another, stricter option is to explicitly cap GPU usage to only +a fraction of the available memory. For example, allocating a maximum of 1/4 of the +total memory could be done as follows: ```python import tensorflow as tf @@ -18,96 +18,110 @@ gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.25) sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) ``` -## Using custom image augmentation +### Using custom image augmentation Image augmentation is the process of artificially expanding the training set by applying various transformations to images (e.g., rotation or rescaling) in order to make models more robust and more accurate (read our [primer](https://www.sciencedirect.com/science/article/pii/S0896627320307170) for more information). Although data augmentation is automatically accomplished -by DeepLabCut, default values (see the augmentation variables in the -[default pose_cfg.yaml](https://github.com/DeepLabCut/DeepLabCut/blob/master/deeplabcut/pose_cfg.yaml#L23-L74) file) -can be readily overwritten prior to training. +by DeepLabCut, default values can be readily overwritten prior to training. See the +augmentation variables defined in the: -Another option we discuss is a different data-efficient approach based on a method called active learning. See this [this blog post](https://github.com/DeepLabCut/DeepLabCut/blob/master/docs/recipes/nn.md#using-custom-image-augmentation) for further details. +- PyTorch Engine: [docs for the `pytorch_config.yaml` file](dlc3-pytorch-config) +- TensorFlow Engine: [default pose_cfg.yaml file]( +https://github.com/DeepLabCut/DeepLabCut/blob/main/deeplabcut/pose_cfg.yaml#L23-L74) -When you `create_training_dataset` [you have several options](https://github.com/DeepLabCut/DeepLabCut/wiki/DOCSTRINGS#create_training_dataset) on what types of augmentation to use. -```python -deeplabcut.create_training_dataset(configpath, augmenter_type='imgaug') -``` - -When you do this (i.e. pass `augmenter_type`) what underlying files you are calling are these: -https://github.com/DeepLabCut/DeepLabCut/tree/master/deeplabcut/pose_estimation_tensorflow/datasets -You can look at what types of augmentation are available to you (or edit those files to add more). Moreover, you can add more options to the pose_cfg.yaml file. Here is a simple script you can modify and run to automatically edit the correct pose_cfg.yaml to add more augmentation to the `imgaug` loader (or open it and edit yourself). - -But, you can add more: +For the single-animal TensorFlow models, [you have several options]( +https://deeplabcut.github.io/DeepLabCut/docs/standardDeepLabCut_UserGuide.html#f-create-training-dataset-s-and-selection-of-your-neural-network) +for image augmentation when calling `create_training_dataset` -```python -import deeplabcut - -train_pose_config, _ = deeplabcut.return_train_network_path(config_path) -augs = { - "gaussian_noise": True, - "elastic_transform": True, - "rotation": 180, - "covering": True, - "motion_blur": True, -} -deeplabcut.auxiliaryfunctions.edit_config( - train_pose_config, - augs, -) -``` -An in-depth tutorial on image augmentation and training hyperparameters can be found [here](https://deeplabcut.github.io/DeepLabCut/docs/recipes/pose_cfg_file_breakdown.html). +An in-depth tutorial on image augmentation and training hyperparameters can be found [ +here]( +https://deeplabcut.github.io/DeepLabCut/docs/recipes/pose_cfg_file_breakdown.html). ## Evaluating intermediate (and all) snapshots -The latest snapshot stored during training may not necessarily be the one that yields the highest performance. Therefore, you should analyze ALL snapshots, and select the best. Put 'all' in the snapshots section of the config.yaml to do this. +The latest snapshot stored during training may not necessarily be the one that yields +the highest performance. Therefore, you should analyze ALL snapshots, and select the +best. Put 'all' in the snapshots section of the `config.yaml` to do this. ## What neural network should I use? (Trade offs, speed performance, and considerations) -### With the release of even more network options, you now have to decide what to use! This additionally flexibility is hopefully helpful, but we want to give you some guidance on where to start. +You always select the network type when you create a training data set: i.e., standard +dlc: `deeplabcut.create_training_dataset(config, net_type=resnet_50)` , or maDLC: +`deeplabcut.create_multianimaltraining_dataset(config, net_type=dlcrnet_ms5)`. There is +nothing else you should change. +### PyTorch Engine -**TL;DR - your best performance for most everything is ResNet-50; MobileNetV2-1 is much faster, needs less memory on your GPU to train and nearly as accurate.** +The different architectures available are described in the [PyTorch model architectures +](dlc3-architectures) page. -You always select the network type when you create a training data set: i.e., standard dlc: `deeplabcut.create_training_dataset(config, net_type=resnet_50)` , or maDLC: `deeplabcut.create_multianimaltraining_dataset(config, net_type=dlcrnet_ms5)`. There is nothing else you should change. +### TensorFlow Engine +With the release of even more network options, you now have to decide what to use! This +additionally flexibility is hopefully helpful, but we want to give you some guidance on +where to start. + +**TL;DR - your best performance for most everything is ResNet-50; MobileNetV2-1 is much +faster, needs less memory on your GPU to train and nearly as accurate.** *** -## ResNets: +#### ResNets: -In Mathis et al. 2018 we benchmarked three networks: **ResNet-50, ResNet-101, and ResNet-101ws**. For ALL lab applications, ResNet-50 was enough. For all the demo videos on [www.deeplabcut.org](http://www.mousemotorlab.org/deeplabcut) the backbones are ResNet-50's. Thus, we recommend making this your go-to workhorse for data analysis. Here is a figure from the paper, see panel "B" (they are all within a few pixels of each other on the open-field dataset): +In Mathis et al. 2018 we benchmarked three networks: **ResNet-50, ResNet-101, and +ResNet-101ws**. For ALL lab applications, ResNet-50 was enough. For all the demo videos +on [www.deeplabcut.org](http://www.mousemotorlab.org/deeplabcut) the backbones are +ResNet-50's. Thus, we recommend making this your go-to workhorse for data analysis. Here +is a figure from the paper, see panel "B" (they are all within a few pixels of each +other on the open-field dataset):

-This is also one of the main result figures, generated with ResNet-50. BLUE is training - RED is testing - BLACK is our best human-level performance, and 10 pixels is the width of the mouse nose -so anything under that is good performance for us on this task! +This is also one of the main result figures, generated with ResNet-50. BLUE is +training - RED is testing - BLACK is our best human-level performance, and 10 pixels is +the width - of the mouse nose -so anything under that is good performance for us on this +task! +

-Here are also some speed stats for analyzing videos with ResNet-50, see https://www.biorxiv.org/content/early/2018/10/30/457242 for more details: +Here are also some speed stats for analyzing videos with ResNet-50, see +https://www.biorxiv.org/content/early/2018/10/30/457242 for more details:

-**So, why use a ResNet-101 or even 152?** if you have a much more challenging problem, like multiple humans dancing, this is a good option. You should then also set `intermediate_supervision=True` for best performance in the pose_config.yaml of that shuffle folder ( before you train). Note, for ResNet-50 this does NOT help, and can hurt. +**So, why use a ResNet-101 or even 152?** if you have a much more challenging problem, +like multiple humans dancing, this is a good option. You should then also set +`intermediate_supervision=True` for best performance in the `pose_config.yaml` of that +shuffle folder (before you train). Note, for ResNet-50 this does NOT help, and can +hurt. -## When should I use a MobileNet? +#### When should I use a MobileNet? -MobileNets are fast to run, fast to train, more memory efficient, and faster for analysis (inference) - e.g. on CPUs they are 4 times faster, on GPUs up to 2x! So, if you don't have a GPU (or a GPU with little memory), and don't want to use Google COLAB, etc, then these are a great starting point. +MobileNets are fast to run, fast to train, more memory efficient, and faster for +analysis (inference) - e.g. on CPUs they are 4 times faster, on GPUs up to 2x! So, if +you don't have a GPU (or a GPU with little memory), and don't want to use Google COLAB, +etc, then these are a great starting point. -They are smaller/shallower networks though, so you don't want to be pushing in very large images. So, be sure to use `deeplabcut.DownSampleVideo` on your data (which is frankly never a bad idea). +They are smaller/shallower networks though, so you don't want to be pushing in very +large images. So, be sure to use `deeplabcut.DownSampleVideo` on your data (which is +frankly never a bad idea). -Additionally, these are good options for running on "live" videos, i.e. if you want to give real-time feedback in an experiment, you can run a video around a smaller cropped area, and run this rather fast! +Additionally, these are good options for running on "live" videos, i.e. if you want to +give real-time feedback in an experiment, you can run a video around a smaller cropped +area, and run this rather fast! **So, how fast are they?** -Here are comparisons of 4 MobileNetV2 variants to ResNet-50 and ResNet-101 (darkest red): -read more here: https://arxiv.org/abs/1909.11229 +Here are comparisons of 4 MobileNetV2 variants to ResNet-50 and ResNet-101 (darkest +red - read more here: https://arxiv.org/abs/1909.11229)

@@ -117,14 +131,26 @@ read more here: https://arxiv.org/abs/1909.11229

-## When should I use an EfficientNet? +#### When should I use an EfficientNet? -Built with inverse residual blocks like MobileNets, but more powerful than ResNets, due to optimal depth/width/resolution scaling, [EfficientNet](https://arxiv.org/abs/1905.11946) are an excellent choice if you want speed and performance. They do require more careful handling though! Especially for small datasets, you will need to tune the batch size and learning rates. So, we suggest these for more advanced users, or those willing to run experiments to find the best settings. Here is the speed comparison, and for performance see our latest work at: http://horse10.deeplabcut.org +Built with inverse residual blocks like MobileNets, but more powerful than ResNets, due +to optimal depth/width/resolution scaling, [EfficientNet]( +https://arxiv.org/abs/1905.11946) are an excellent choice if you want speed and +performance. They do require more careful handling though! Especially for small +datasets, you will need to tune the batch size and learning rates. So, we suggest these +for more advanced users, or those willing to run experiments to find the best settings. +Here is the speed comparison, and for performance see our latest work at: +http://horse10.deeplabcut.org

-## How can I compare them? +#### How can I compare them? -Great question! So, the best way to do this is to use the **same** test/train split (that is generated in create_training_dataset) with different models. Here, as of 2.1+, we have a **new** function that lets you do this easily. Instead of using `create_training_dataset` you will run `create_training_model_comparison` (see the docstrings by `deeplabcut.create_training_model_comparison?` or run the Project Manager GUI - `deeplabcut.launch_dlc()`- for assistance. +Great question! So, the best way to do this is to use the **same** test/train split ( +that is generated in create_training_dataset) with different models. Here, as of 2.1+, +we have a **new** function that lets you do this easily. Instead of using +`create_training_dataset` you will run `create_training_model_comparison` (see the +docstrings by `deeplabcut.create_training_model_comparison?` or run the Project Manager +GUI - `deeplabcut.launch_dlc()`- for assistance. From 7a66b691e635b66a2a8536e225aafe4c0e2bf832 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Thu, 6 Feb 2025 14:55:58 +0100 Subject: [PATCH 13/24] updated README --- README.md | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 85e33e7cf9..1941704f94 100644 --- a/README.md +++ b/README.md @@ -60,16 +60,18 @@ Please click the link above for all the information you need to get started! Please note that currently we support only Python 3.10+ (see conda files for guidance). -Developers Stable Release: very quick start (Python 3.10+ required) - -- To install DeepLabCut with the PyTorch engine, you can simply - - [Install PyTorch](https://pytorch.org/get-started/locally/) (**select the desired - CUDA version**): `pip install torch torchvision` - - Then [install `pytables`](https://www.pytables.org/usersguide/installation.html): `conda install -c conda-forge pytables==3.8.0` - - Finally install `DeepLabCut`: `pip install "deeplabcut>=3.0"`! -- To use TensorFlow models (up to v2.10 supported across platforms; up to v2.12 -supported on Linux) `pip install "deeplabcut[gui,tf]"` that includes all functions plus -GUIs, or `pip install deeplabcut[tf]` (headless version with PyTorch and TensorFlow). +Developers Stable Release: very quick start (Python 3.10+ required) to install +DeepLabCut with the PyTorch engine + +- [Install PyTorch](https://pytorch.org/get-started/locally/) (**select the desired +CUDA version if you want to use a GPU**): `pip install torch torchvision` +- Then, [install `pytables`](https://www.pytables.org/usersguide/installation.html): `conda install -c conda-forge pytables==3.8.0` +- Finally, install `DeepLabCut`: `pip install "deeplabcut>=3.0"`! + +To use the TensorFlow engine (requires Python 3.10; TF up to v2.10 supported on Windows, +up to v2.12 on other platforms): you'll need to run `pip install "deeplabcut[gui,tf]"` +(which includes all functions plus GUIs) or `pip install "deeplabcut[tf]"` (headless +version with PyTorch and TensorFlow). We recommend using our conda file, see [here](https://github.com/DeepLabCut/DeepLabCut/blob/main/conda-environments/README.md) or the new [`deeplabcut-docker` package](https://github.com/DeepLabCut/DeepLabCut/tree/main/docker). From a1491f4aabeb8d780fe9e6165ea48d01351d4b3b Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Thu, 6 Feb 2025 17:40:25 +0100 Subject: [PATCH 14/24] fix levels nn --- docs/recipes/nn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/recipes/nn.md b/docs/recipes/nn.md index 77de11920b..889839df55 100644 --- a/docs/recipes/nn.md +++ b/docs/recipes/nn.md @@ -18,7 +18,7 @@ gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.25) sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) ``` -### Using custom image augmentation +## Using custom image augmentation Image augmentation is the process of artificially expanding the training set by applying various transformations to images (e.g., rotation or rescaling) From 4be8f2715796b10192a9159d81d4645d655d863f Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Thu, 6 Feb 2025 18:11:48 +0100 Subject: [PATCH 15/24] improvements to install tips --- docs/installation.md | 44 ++++++++++++++++++++++++++++++++----- docs/recipes/installTips.md | 9 ++++++-- 2 files changed, 46 insertions(+), 7 deletions(-) diff --git a/docs/installation.md b/docs/installation.md index 382df4fd3a..dfe95e24a9 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -24,15 +24,15 @@ - **Apple M-chip GPU?** Be sure to install miniconda3, and your GPU will be used by default. ```` - ### Step 1: Install Python via Anaconda -#### Install [anaconda](https://www.anaconda.com/distribution/), or use miniconda3 for MacOS users (see below) +#### Install [anaconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html#), or use miniconda3 for MacOS users (see below) - Anaconda is an easy way to install Python and additional packages across various operating systems. With Anaconda you create all the dependencies in an [environment](https://conda.io/docs/user-guide/tasks/manage-environments.html) on your machine. ```{Hint} -Download anaconda for your operating system: https://www.anaconda.com/distribution/. +Download anaconda for your operating system: [anaconda.com/download/ +](https://www.anaconda.com/download/) ``` - IF you use a M1 or M2 chip in your MacBook with v12.5+ (typically 2020 or newer machines), we recommend **miniconda3,** which operates with the same principles as anaconda. This is straight forward and explained in detail here: https://docs.conda.io/projects/conda/en/latest/user-guide/install/macos.html. But in short, open the program "terminal" and copy/paste and run the code that is supplied below. @@ -84,10 +84,44 @@ Now you should see (`nameofenv`) on the left of your terminal screen, i.e. ``(DE NOTE: no need to run pip install deeplabcut, as it is already installed!!! :) #### 💡 Notice: PyTorch and TensorFlow Support within DeepLabCut -```{Hint} + +````{Hint} :class: dropdown -As of June 2024 we have a PyTorch Engine backend and we will be depreciating the TensorFlow backend by the end of 2024. Currently, if you want to use TensorFlow, you need to run `pip install deeplabcut[tf]` in order to install the correct version of TensorFlow in your conda env. Please note, we will be providing bug fixes, but we will not be supporting new TensorFlow versions beyond 2.10 (Windows), and 2.12 for other OS. +As of June 2024 we have a PyTorch Engine backend and we will be depreciating the +TensorFlow backend by the end of 2024. Currently, if you want to use TensorFlow, you +need to run `pip install deeplabcut[tf]` in order to install the correct version of +TensorFlow in your conda env. Please note, we will be providing bug fixes, but we will +not be supporting new TensorFlow versions beyond 2.10 (Windows), and 2.12 for other OS. + +Installing TensorFlow and getting it to have access to the GPU can be a bit tricky. +Check TensorFlow's [compatibility matrix](https://www.tensorflow.org/install/source#gpu) +to know which version of CUDA and cuDNN you should install. + +We have found that installing DeepLabCut with the following commands works well for +Linux users to install PyTorch 2.3.1, TensorFlow 2.12, CUDA 11.8 and cuDNN 8 in a Conda +environment: + +```script +conda create -n deeplabcut-with-tf "python=3.10" +conda activate deeplabcut-with-tf + +# Install the desired TensorFlow version, built for CUDA 11.8 and cuDNN 8 +pip install "tensorflow==2.12" "tensorpack>=0.11" "tf_slim>=1.1.0" + +# Install PyTorch with a version using CUDA 11.8 and cuDNN 8 +pip install "torch==2.3.1" torchvision --index-url https://download.pytorch.org/whl/cu118 + +# Create symbolic links to NVIDIA shared libraries for TensorFlow +# -> as described in their installation docs: +# https://www.tensorflow.org/install/pip#step-by-step_instructions + +pushd $(dirname $(python -c 'print(__import__("tensorflow").__file__)')) +ln -svf ../nvidia/*/lib/*.so* . +popd + +pip install deeplabcut ``` +```` **Great, that's it! DeepLabCut is installed!** 🎉💜 diff --git a/docs/recipes/installTips.md b/docs/recipes/installTips.md index 274ad238c5..ab4565a880 100644 --- a/docs/recipes/installTips.md +++ b/docs/recipes/installTips.md @@ -3,7 +3,7 @@ ## How to use the latest updates directly from GitHub -We often update the master deeplabcut code base on github, and then ~1 a month we push out a stable release on pypi. This is what most users turn to on a daily basis (i.e. pypi is where you get your `pip install deeplabcut` code from! But, sometimes we add things to the repo that are not yet integrated, or you might want to edit the code yourself. Here, we show you how to do this. +We often update the master deeplabcut code base on GitHub, and then ~1 a month we push out a stable release on pypi. This is what most users turn to on a daily basis (i.e. pypi is where you get your `pip install deeplabcut` code from! But, sometimes we add things to the repo that are not yet integrated, or you might want to edit the code yourself. Here, we show you how to do this. ### Method 1: @@ -288,6 +288,11 @@ Follow prompts! ## Troubleshooting: Note, if you get a failed build due to wxPython (note, this does not happen on Ubuntu 18, 16, etc), i.e.: +```{warning} +DeepLabCut no longer uses `wxpython` for its GUI - if you're getting such an error, +you're likely installing an old version of DeepLabCut. +``` + ```python ERROR: Command errored out with exit status 1: /home/mackenzie/anaconda3/envs/DLC-GPU/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-0jsmkrr1/wxpython_aeff462b2060421a9cf65df55f63a126/setup.py'"'"'; __file__='"'"'/tmp/pip-install-0jsmkrr1/wxpython_aeff462b2060421a9cf65df55f63a126/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-pzy9q5u2/install-record.txt --single-version-externally-managed --compile --install-headers /home/mackenzie/anaconda3/envs/DLC-GPU/include/python3.7m/wxpython Check the logs for full command output. @@ -341,7 +346,7 @@ conda env create -f DEEPLABCUT.yaml (4) Finally, activate your environment and to launch DLC with the GUI ```bash -conda activate DEEPLABCUT_M1 +conda activate DEEPLABCUT python -m deeplabcut ``` From fad0b44ce2dd82e89e04461b9e36709855cb4c0a Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Thu, 6 Feb 2025 18:14:19 +0100 Subject: [PATCH 16/24] improvements to install tips --- docs/installation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/installation.md b/docs/installation.md index dfe95e24a9..5c443beba7 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -85,7 +85,7 @@ NOTE: no need to run pip install deeplabcut, as it is already installed!!! :) #### 💡 Notice: PyTorch and TensorFlow Support within DeepLabCut -````{Hint} +````{admonition} DeepLabCut TensorFlow Support :class: dropdown As of June 2024 we have a PyTorch Engine backend and we will be depreciating the TensorFlow backend by the end of 2024. 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zC3?5C5D4btE$qS*p3H)xJKmM~G3aP88xS14&q(@GiX)2D)tuJ~=KcHtKmHwk^VML* z2;bTp`?6sF@-bdV8w10p{$X*%6~!@fq6Wl9Q+D6wLE*Z>r6;sl{|bATqJ4e4 zsCn)5anP%vE~$(_=p+9^24{maM;ByOLFV%+DZkcawf$DP;`95TY7^qhCA7vtt^_jOoFrdRZjo2jw>d@?FjQCy?>I3J?RH&n z*jGIcwR)fpxq_QO7AX(7EnJ%!U>00)187lm{(^cFg>QC|70rIJ&s>q$&RVSpTrgXQ zu$#s7j;AawdbjP{Oe|4|E!&xA?IHqS8eE?Z{Wvoh8YpZtBXBA_>t}Ki9IRmbOzfrN zpIFH@Fd$tMBiy^tAQHQ~B8QBPGeu*`#`qK)yITn~Xrv6x^;WG>}Ugf`K+W%c-ee@pmxgiSo>8sgc zt&gzn335@5MO5{fp($j2NC)UFHvygAGA*oYy?SW -Next, open the **config.yaml** file, which was created during **create\_new\_project**. You can edit this file in any text editor. Familiarize yourself with the meaning of the parameters (Box 1). You can edit various parameters, in particular you **must add the list of *bodyparts* (or points of interest)** that you want to track. You can also set the *colormap* here that is used for all downstream steps (can also be edited at anytime), like labeling GUIs, videos, etc. Here any [matplotlib colormaps](https://matplotlib.org/tutorials/colors/colormaps.html) will do! +You can also set the *colormap* here that is used for all downstream steps (can also be edited at anytime), like labeling GUIs, videos, etc. Here any [matplotlib colormaps](https://matplotlib.org/tutorials/colors/colormaps.html) will do! An easy way to programmatically edit the config file at any time is to use the function **edit\_config**, which takes the full path of the config file to edit and a dictionary of key–value pairs to overwrite. -````python -edits = {'colormap': 'summer', - 'individuals': ['mickey', 'minnie', 'bianca'], - 'skeleton': [['snout', 'tailbase'], ['snout', 'rightear']]} +```python +import deeplabcut + +config_path = "/path/to/project-dlc-2025-01-01/config.yaml" +edits = { + "colormap": "summer", + "individuals": ["mickey", "minnie", "bianca"], + "skeleton": [["snout", "tailbase"], ["snout", "rightear"]] +} deeplabcut.auxiliaryfunctions.edit_config(config_path, edits) -```` +``` Please DO NOT have spaces in the names of bodyparts, uniquebodyparts, individuals, etc. diff --git a/docs/standardDeepLabCut_UserGuide.md b/docs/standardDeepLabCut_UserGuide.md index 39188b3d48..7c23ff798f 100644 --- a/docs/standardDeepLabCut_UserGuide.md +++ b/docs/standardDeepLabCut_UserGuide.md @@ -71,9 +71,7 @@ The project directory also contains the main configuration file called *config.y The ``create_new_project`` step writes the following parameters to the configuration file: *Task*, *scorer*, *date*, *project\_path* as well as a list of videos *video\_sets*. The first three parameters should **not** be changed. The list of videos can be changed by adding new videos or manually removing videos. -

- -

+![Box 1 - Single Animal Project Configuration File Glossary](images/box1-single.png) #### API Docs ````{admonition} Click the button to see API Docs From db73377dd7f0b57d8b15fdd86e7aae2c01830d53 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 15:31:21 +0100 Subject: [PATCH 18/24] fixed annotation text; need to upload new GIF --- docs/images/box1-multi.png | Bin 189276 -> 202206 bytes docs/images/box1-single.png | Bin 202206 -> 189276 bytes docs/maDLC_UserGuide.md | 11 +++++++++-- 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/docs/images/box1-multi.png b/docs/images/box1-multi.png index c5c802d486f4c6dc1215f8db6c91c6ad08245abe..2da7320667fdaa7a8d4c561da4f3d9271403a788 100644 GIT binary patch delta 158600 zcmce-XH*p5_ARQSppsN1C&>y32ue zV`BpiO#}V#ob&tNbHBVh-g{%bG3rxw?Y(yGUbSkjIcLpx6E2nz#Zun?a~J={jT;Bb z_Em9A0(f}jE>+sOn%NS+b4b`p+3%^ z?*?6)7nxz~Z@wo1uWh##o$ys7k4-jtw@6O?P13m@O1B?~2`jO?tKTIeLHk#Lj1UhM 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b/docs/maDLC_UserGuide.md index 9ab6b4e500..999696b5a1 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -205,7 +205,11 @@ behaviors, and not extract the frames across the whole video. This can be achiev parameters in the config.yaml file. Also, the user can change the number of frames to extract from each video using the numframes2extract in the config.yaml file. - **For maDLC, be sure you have labeled frames with closely interacting animals!** Therefore, manually selecting some frames is a good idea if interactions are not highly frequent in the video. +```{TIP} +For maDLC, **be sure you have labeled frames with closely interacting animals**! +Therefore, manually selecting some frames is a good idea if interactions are not highly +frequent in the video. +``` However, picking frames is highly dependent on the data and the behavior being studied. Therefore, it is hard to provide all purpose code that extracts frames to create a good training dataset for every behavior and animal. If the user feels specific frames are lacking, they can extract hand selected frames of interest using the interactive GUI @@ -249,7 +253,10 @@ labels to the bodyparts in the config.yaml file. Thereafter, the user can call t Note, we also highly recommend that you use more bodypoints that you might otherwise have (see the example below). **Example Labeling with maDeepLabCut:** -- note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be on mouse1, but across frames "mouse1" can be any of the black mice (as here it is nearly impossible to tell them apart visually). IF you can tell them apart, do label consistently! +Note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be +on mouse1, but across frames "mouse1" can be any of the black mice (as here it is nearly +impossible to tell them apart visually). IF you can tell them apart, do label +consistently! // FIXME(niels): updated image for napari-deeplabcut annotation GUI From 064de819150f8d41f1bb23a6408aa1909afc8426 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 17:44:58 +0100 Subject: [PATCH 19/24] improve madlc userguide till after evaluation metrics --- ...e_training_dataset_from_existing_split.rst | 1 + docs/maDLC_UserGuide.md | 172 +++++++++++++----- 2 files changed, 132 insertions(+), 41 deletions(-) create mode 100644 docs/api/deeplabcut.create_training_dataset_from_existing_split.rst diff --git a/docs/api/deeplabcut.create_training_dataset_from_existing_split.rst b/docs/api/deeplabcut.create_training_dataset_from_existing_split.rst new file mode 100644 index 0000000000..0b59472d91 --- /dev/null +++ b/docs/api/deeplabcut.create_training_dataset_from_existing_split.rst @@ -0,0 +1 @@ +.. autofunction:: deeplabcut.generate_training_dataset.trainingsetmanipulation.create_training_dataset_from_existing_split diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 999696b5a1..7208216223 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -49,7 +49,7 @@ ipython import deeplabcut ``` -```{TIP:} +```{TIP} for every function there is a associated help document that can be viewed by adding a **?** after the function name; i.e. ``deeplabcut.create_new_project?``. To exit this help screen, type ``:q``. ``` @@ -211,16 +211,22 @@ Therefore, manually selecting some frames is a good idea if interactions are not frequent in the video. ``` -However, picking frames is highly dependent on the data and the behavior being studied. Therefore, it is hard to -provide all purpose code that extracts frames to create a good training dataset for every behavior and animal. If the user feels specific frames are lacking, they can extract hand selected frames of interest using the interactive GUI +However, picking frames is highly dependent on the data and the behavior being studied. +Therefore, it is hard to provide all purpose code that extracts frames to create a good +training dataset for every behavior and animal. If the user feels specific frames are +lacking, they can extract hand selected frames of interest using the interactive GUI provided along with the toolbox. This can be launched by using: ```python deeplabcut.extract_frames(config_path, 'manual') ``` -The user can use the *Load Video* button to load one of the videos in the project configuration file, use the scroll -bar to navigate across the video and *Grab a Frame* (or a range of frames, as of version 2.0.5) to extract the frame(s). The user can also look at the extracted frames and e.g. delete frames (from the directory) that are too similar before reloading the set and then manually annotating them. +// FIXME(niels) - add a napari frame extractor description. +The user can use the *Load Video* button to load one of the videos in the project +configuration file, use the scroll bar to navigate across the video and *Grab a Frame*. +The user can also look at the extracted frames and e.g. delete frames (from the +directory) that are too similar before reloading the set and then manually annotating +them. ````{admonition} Click the button to see API Docs :class: dropdown @@ -242,15 +248,31 @@ project’s configuration file by providing a list. The following command invoke napari-deeplabcut labelling GUI. Checkout the [napari-deeplabcut docs](napari-gui) for more information about the labelling workflow. -**CRITICAL POINT:** It is advisable to **consistently label similar spots** (e.g., on a wrist that is very large, try -to label the same location). In general, invisible or occluded points should not be labeled by the user, unless you want to teach the network to "guess" - this is possible, but could affect accuracy. If you don't want/or don't see a bodypart, they can simply be skipped by not applying the label anywhere on the frame. - -OPTIONAL: In the event of adding more labels to the existing labeled dataset, the user need to append the new -labels to the bodyparts in the config.yaml file. Thereafter, the user can call the function **label_frames**. A box will pop up and ask the user if they wish to display all parts, or only add in the new labels. Saving the labels after all the images are labelled will append the new labels to the existing labeled dataset. - -**maDeepLabCut CRITICAL POINT:** For multi-animal labeling, unless you can tell apart the animals, you do not need to worry about the "ID" of each animal. For example: if you have a white and black mouse label the white mouse as animal 1, and black as animal 2 across all frames. If two black mice, then the ID label 1 or 2 can switch between frames - no need for you to try to identify them (but always label consistently within a frame). If you have 2 black mice but one always has an optical fiber (for example), then DO label them consistently as animal1 and animal_fiber (for example). The point of multi-animal DLC is to train models that can first group the correct bodyparts to individuals, then associate those points in a given video to a specific individual, which then also uses temporal information to link across the video frames. - -Note, we also highly recommend that you use more bodypoints that you might otherwise have (see the example below). +**CRITICAL POINT:** It is advisable to **consistently label similar spots** (e.g., on a +wrist that is very large, try to label the same location). In general, invisible or +occluded points should not be labeled by the user, unless you want to teach the network +to "guess" - this is possible, but could affect accuracy. If you don't want/or don't see +a bodypart, they can simply be skipped by not applying the label anywhere on the frame. + +OPTIONAL: In the event of adding more labels to the existing labeled dataset, the user +needs to append the new labels to the bodyparts in the config.yaml file. Thereafter, the +user can call the function **label_frames**. A box will pop up and ask the user if they +wish to display all parts, or only add in the new labels. Saving the labels after all +the images are labelled will append the new labels to the existing labeled dataset. + +**maDeepLabCut CRITICAL POINT:** For multi-animal labeling, unless you can tell apart +the animals, you do not need to worry about the "ID" of each animal. For example: if you +have a white and black mouse label the white mouse as animal 1, and black as animal 2 +across all frames. If two black mice, then the ID label 1 or 2 can switch between +frames - no need for you to try to identify them (but always label consistently within a +frame). If you have 2 black mice but one always has an optical fiber (for example), then +DO label them consistently as animal1 and animal_fiber (for example). The point of +multi-animal DLC is to train models that can first group the correct bodyparts to +individuals, then associate those points in a given video to a specific individual, +which then also uses temporal information to link across the video frames. + +Note, we also highly recommend that you use more bodyparts that you might otherwise have +(see the example below). **Example Labeling with maDeepLabCut:** Note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be @@ -355,6 +377,31 @@ In addition, one can specify a crop sampling strategy: crop centers can either b As a reminder, cropping images into smaller patches is a form of data augmentation that simultaneously allows the use of batch processing even on small GPUs that could not otherwise accommodate larger images + larger batchsizes (this usually increases performance and decreasing training time). +**MODEL COMPARISON**: You can also test several models by creating the same train/test +split for different networks. +You can easily do this in the Project Manager GUI (by selecting the "Use an existing +data split" option), which also lets you compare PyTorch and TensorFlow models. + +````{versionadded} 3.0.0 +You can now create new shuffles using the same train/test split as +existing shuffles with `create_training_dataset_from_existing_split`. This allows you to +compare model performance (between different architectures or when using different +training hyper-parameters) as the shuffles were trained on the same data, and evaluated +on the same test data! + +Example usage - creating 3 new shuffles (with indices 10, 11 and 12) for a ResNet 50 +pose estimation model, using the same data split as was used for shuffle 0: + +```python +deeplabcut.create_training_dataset_from_existing_split( + config_path, + from_shuffle=0, + shuffles=[10, 11, 12], + net_type="resnet_50", +) +``` +```` + ````{admonition} Click the button to see API Docs for deeplabcut.create_training_dataset :class: dropdown ```{eval-rst} @@ -369,6 +416,13 @@ allows the use of batch processing even on small GPUs that could not otherwise a ``` ```` +````{admonition} Click the button to see API Docs for deeplabcut.create_training_dataset_from_existing_split +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.create_training_dataset_from_existing_split.rst +``` +```` + ### Train The Network: ```python @@ -485,29 +539,56 @@ data. The bonus, training time is much less!!! ### Evaluate the Trained Network: -Here, for traditional projects you will get a pixel distance metric and you should inspect the individual frames: +It is important to evaluate the performance of the trained network. This performance is +measured by computing two metrics: + +- **Average root mean square error** (RMSE) between the manual labels and the ones +predicted by your trained DeepLabCut model. The RMSE is proportional to the mean average +Euclidean error (MAE) between the manual labels and the ones predicted by DeepLabCut. +The MAE is displayed for all pairs and only likely pairs (>p-cutoff). This helps to +exclude, for example, occluded body parts. One of the strengths of DeepLabCut is that +due to the probabilistic output of the scoremap, it can, if sufficiently trained, also +reliably report if a body part is visible in a given frame. (see discussions of finger +tips in reaching and the Drosophila legs during 3D behavior in [Mathis et al, 2018]). +- **Mean Average Precision** (mAP) and **Mean Average Recall** (mAR) for the labels +predicted by your trained DeepLabCut model. This metric describes the average precision +of your model, based on a thoughtful definition of what a correct prediction is. It +isn't as useful for single-animal models, as RMSE does a great job of evaluating your +model in that case. + +```{admonition} A more detailed description of mAP and mAR +:class: dropdown + +For multi-animal pose estimation, multiple predictions can be made for each image. +We want to get some idea of the proportion of correct predictions among all predictions +that are made. +However, the notion of "correct prediction" for pose estimation is not straightforward: +is a prediction correct if all predicted keypoints are within 5 pixels of the ground +truth? Within 2 pixels of the ground truth? What if all pixels but one match the ground +truth perfectly, but the wrong prediction is 50 pixels away? Mean average precision ( +and mean average recall) estimate the precision/recall of your models by setting +different "thresholds of correctness" and averaging results. How "correct" a +prediction is can be evaluated through [object-keypoint similarity]( +https://cocodataset.org/#keypoints-eval). + +A good resource to get a deeper understanding of mAP is the [Stanford CS230 course]( +https://cs230.stanford.edu/section/8/#object-detection-iou-ap-and-map). While it +describes mAP for object detection (where bounding boxes are predicted instead of +keypoints), the same metric can be computed for pose estimation, where similarity +between predictions and ground truth is computed through [object-keypoint similarity]( +https://cocodataset.org/#keypoints-eval) instead of intersection-over-union (IoU). +``` + +It's also important to visually inspect predictions on individual frames to assess the +performance of your model. You can do this by setting `plotting=True` when you call +`evaluate_network`. The evaluation results are computed by typing: ```python -deeplabcut.evaluate_network(config_path, plotting=True) +deeplabcut.evaluate_network(config_path, Shuffles=[1], plotting=True) ``` 🎥 [VIDEO TUTORIAL AVAILABLE!](https://www.youtube.com/watch?v=bgfnz1wtlpo) -It is important to evaluate the performance of the trained network. This performance is measured by computing -the mean average Euclidean error (MAE; which is proportional to the average root mean square error) between the -manual labels and the ones predicted by DeepLabCut. The MAE is saved as a comma separated file and displayed -for all pairs and only likely pairs (>p-cutoff). This helps to exclude, for example, occluded body parts. One of the -strengths of DeepLabCut is that due to the probabilistic output of the scoremap, it can, if sufficiently trained, also -reliably report if a body part is visible in a given frame. (see discussions of finger tips in reaching and the Drosophila -legs during 3D behavior in [Mathis et al, 2018]). - -````{admonition} Click the button to see API Docs for evaluate_network -:class: dropdown -```{eval-rst} -.. include:: ./api/deeplabcut.evaluate_network.rst -``` -```` - Setting ``plotting`` to True plots all the testing and training frames with the manual and predicted labels; these will be colored by body part type by default. They can alternatively be colored by individual by passing `plotting="individual"`. The user should visually check the labeled test (and training) images that are created in the ‘evaluation-results’ directory. @@ -517,24 +598,33 @@ many factors (including the size of the tracked body parts, the labeling variabi also be larger than the training error due to human variability (in labeling, see Figure 2 in Mathis et al, Nature Neuroscience 2018). The plots can be customized by editing the **config.yaml** file (i.e., the colormap, scale, marker size (dotsize), and -transparency of labels (alphavalue) can be modified). By default each body part is plotted in a different color +transparency of labels (alpha-value) can be modified). By default each body part is plotted in a different color (governed by the colormap) and the plot labels indicate their source. Note that by default the human labels are -plotted as plus (‘+’), DeepLabCut’s predictions either as ‘.’ (for confident predictions with likelihood > p-cutoff) and +plotted as plus (‘+’), DeepLabCut’s predictions either as ‘.’ (for confident predictions with likelihood > `pcutoff`) and ’x’ for (likelihood <= `pcutoff`). -The evaluation results for each shuffle of the training dataset are stored in a unique subdirectory in a newly created -directory ‘evaluation-results’ in the project directory. The user can visually inspect if the distance between the labeled -and the predicted body parts are acceptable. In the event of benchmarking with different shuffles of same training -dataset, the user can provide multiple shuffle indices to evaluate the corresponding network. If the generalization is -not sufficient, the user might want to: +The evaluation results for each shuffle of the training dataset are stored in a unique +subdirectory in a newly created directory ‘evaluation-results-pytorch’ (or +‘evaluation-results’ for TensorFlow models) in the project directory. +The user can visually inspect if the distance between the labeled and the predicted body +parts are acceptable. In the event of benchmarking with different shuffles of same training +dataset, the user can provide multiple shuffle indices to evaluate the corresponding +network. If the generalization is not sufficient, the user might want to: -• check if the labels were imported correctly; i.e., invisible points are not labeled and the points of interest are -labeled accurately +• check if the labels were imported correctly; i.e., invisible points are not labeled +and the points of interest are labeled accurately • make sure that the loss has already converged • consider labeling additional images and make another iteration of the training data set +````{admonition} Click the button to see API Docs for evaluate_network +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.evaluate_network.rst +``` +```` + **maDeepLabCut: (or on normal projects!)** In multi-animal projects, model evaluation is crucial as this is when @@ -548,7 +638,7 @@ You should also plot the scoremaps, locref layers, and PAFs to assess performanc deeplabcut.extract_save_all_maps(config_path, shuffle=shuffle, Indices=[0, 5]) ``` -you can drop "Indices" to run this on all training/testing images (this is very slow!) +You can drop "Indices" to run this on all training/testing images (this is very slow!) ### Evaluating your network on videos From dac8bf57f7e0c6eba582948092ba5749d1a14fe1 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 17:54:52 +0100 Subject: [PATCH 20/24] improvements to maDLC docs --- ...eeplabcut.convert_detections2tracklets.rst | 1 + docs/api/deeplabcut.stitch_tracklets.rst | 1 + docs/maDLC_UserGuide.md | 44 +++++++++++++++++++ 3 files changed, 46 insertions(+) create mode 100644 docs/api/deeplabcut.convert_detections2tracklets.rst create mode 100644 docs/api/deeplabcut.stitch_tracklets.rst diff --git a/docs/api/deeplabcut.convert_detections2tracklets.rst b/docs/api/deeplabcut.convert_detections2tracklets.rst new file mode 100644 index 0000000000..f69f721d84 --- /dev/null +++ b/docs/api/deeplabcut.convert_detections2tracklets.rst @@ -0,0 +1 @@ +.. autofunction:: deeplabcut.compat.convert_detections2tracklets diff --git a/docs/api/deeplabcut.stitch_tracklets.rst b/docs/api/deeplabcut.stitch_tracklets.rst new file mode 100644 index 0000000000..96677d31a9 --- /dev/null +++ b/docs/api/deeplabcut.stitch_tracklets.rst @@ -0,0 +1 @@ +.. autofunction:: deeplabcut.refine_training_dataset.stitch.stitch_tracklets diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 7208216223..67d41c08b2 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -785,6 +785,29 @@ deeplabcut.stitch_tracklets(..., n_tracks=n) In such cases, file columns will default to dummy animal names (ind1, ind2, ..., up to indn). +#### API Docs + +````{admonition} Click the button to see API Docs for analyze_videos +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.analyze_videos.rst +``` +```` + +````{admonition} Click the button to see API Docs for convert_detections2tracklets +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.convert_detections2tracklets.rst +``` +```` + +````{admonition} Click the button to see API Docs for stitch_tracklets +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.stitch_tracklets.rst +``` +```` + ### Using Unsupervised Identity Tracking: In Lauer et al. 2022 we introduced a new method to do unsupervised reID of animals. @@ -830,6 +853,13 @@ deeplabcut.filterpredictions(config_path,['/fullpath/project/videos/reachingvide ``` Note, this creates a file with the ending filtered.h5 that you can use for further analysis. This filtering step has many parameters, so please see the full docstring by typing: ``deeplabcut.filterpredictions?`` +````{admonition} Click the button to see API Docs +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.filterpredictions.rst +``` +```` + ### Plotting Results: - **NOTE :bulb::mega::** Before you create a video, you should set what threshold to use for plotting. This is set in the `config.yaml` file as `pcutoff` - if you have a well trained network, this should be high, i.e. set it to `0.8` or higher! IF YOU FILLED IN GAPS, you need to set this to `0` to "see" the filled in parts. @@ -850,6 +880,20 @@ Create videos: (more details [here](functionDetails.md#i-video-analysis-and-plotting-results)) +````{admonition} Click the button to see API Docs for plot_trajectories +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.plot_trajectories.rst +``` +```` + +````{admonition} Click the button to see API Docs for create_labeled_video +:class: dropdown +```{eval-rst} +.. include:: ./api/deeplabcut.create_labeled_video.rst +``` +```` + ### HELP: In ipython/Jupyter notebook: From 88e5478ba93748ed57af1ea39e3d92404386ea29 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 17:56:11 +0100 Subject: [PATCH 21/24] improve wording --- docs/maDLC_UserGuide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 67d41c08b2..5264006c10 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -552,7 +552,7 @@ reliably report if a body part is visible in a given frame. (see discussions of tips in reaching and the Drosophila legs during 3D behavior in [Mathis et al, 2018]). - **Mean Average Precision** (mAP) and **Mean Average Recall** (mAR) for the labels predicted by your trained DeepLabCut model. This metric describes the average precision -of your model, based on a thoughtful definition of what a correct prediction is. It +of your model, based on a considered definition of what a correct prediction is. It isn't as useful for single-animal models, as RMSE does a great job of evaluating your model in that case. From 62625392df813cf42c68c61157d77a49207e2f0f Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 18:01:25 +0100 Subject: [PATCH 22/24] minor style improvements --- docs/maDLC_UserGuide.md | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 5264006c10..86b4969491 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -659,16 +659,15 @@ Please note that you do **not** get the .h5/csv file you might be used to gettin comes after tracking). You will get a `pickle` file that is used in `create_video_with_all_detections`. -For models predicting part-affinity fields (TensorFlow multi-animal models, and PyTorch -models consisting of just a backbone name (e.g. `resnet_50`, `resnet_101`) use -part-affinity fields. If you're unsure whether your PyTorch model has a one, check the -**pytorch_config.yaml** for a `DLCRNetHead`._), another sanity check may be to examine -the distributions of edge affinity costs using -`deeplabcut.utils.plot_edge_affinity_distributions`. Easily separable distributions +For models predicting part-affinity fields, another sanity check may be to +examine the distributions of edge affinity costs using `deeplabcut.utils.plot_edge_affinity_distributions`. Easily separable distributions indicate that the model has learned strong links to group keypoints into distinct individuals — likely a necessary feature for the assembly stage (note that the amount of overlap will also depend on the amount of interactions between your animals in the -dataset). +dataset). All TensorFlow multi-animal models use part-affinity fields and PyTorch models +consisting of just a backbone name (e.g. `resnet_50`, `resnet_101`) use part-affinity +fields. If you're unsure whether your PyTorch model has a one, check +the **pytorch_config.yaml** for a `DLCRNetHead`. IF you have good clean out video, ending in `....full.mp4` (and the evaluation metrics look good, scoremaps look good, plotted evaluation images, and affinity distributions From d4dfb2505c81f2fd915e57dc8e22375033850d5f Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 18:03:50 +0100 Subject: [PATCH 23/24] minor text improvements --- docs/maDLC_UserGuide.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 86b4969491..79a90042e6 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -550,10 +550,10 @@ exclude, for example, occluded body parts. One of the strengths of DeepLabCut is due to the probabilistic output of the scoremap, it can, if sufficiently trained, also reliably report if a body part is visible in a given frame. (see discussions of finger tips in reaching and the Drosophila legs during 3D behavior in [Mathis et al, 2018]). -- **Mean Average Precision** (mAP) and **Mean Average Recall** (mAR) for the labels -predicted by your trained DeepLabCut model. This metric describes the average precision -of your model, based on a considered definition of what a correct prediction is. It -isn't as useful for single-animal models, as RMSE does a great job of evaluating your +- **Mean Average Precision** (mAP) and **Mean Average Recall** (mAR) for the individuals +predicted by your trained DeepLabCut model. This metric describes the precision of your +model, based on a considered definition of what a correct detection of an individual is. +It isn't as useful for single-animal models, as RMSE does a great job of evaluating your model in that case. ```{admonition} A more detailed description of mAP and mAR From acf91ea44dfa7e69e9682ec3db3620a7e73e89c9 Mon Sep 17 00:00:00 2001 From: Niels Poulsen Date: Mon, 10 Feb 2025 18:14:13 +0100 Subject: [PATCH 24/24] improve wording --- docs/maDLC_UserGuide.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/maDLC_UserGuide.md b/docs/maDLC_UserGuide.md index 79a90042e6..616f9150c7 100644 --- a/docs/maDLC_UserGuide.md +++ b/docs/maDLC_UserGuide.md @@ -9,7 +9,8 @@ Note, we strongly encourage you to use the [Project Manager GUI](project-manager ````{versionadded} 3.0.0 PyTorch is now available as a deep learning engine for pose estimation models, along with new model architectures! For more information about moving from TensorFlow to -PyTorch, check out [the PyTorch user guide](dlc3-user-guide). If you're just starting +PyTorch (if you're already familiar with DeepLabCut & the TensorFlow engine), +check out [the PyTorch user guide](dlc3-user-guide). If you're just starting out with DeepLabCut, we suggest you use the PyTorch backend. ````

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