DOI: 10.5061/dryad.0cfxpnw7x
title: DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data

description: Studying the detailed biomechanics of flying animals relies on producing
 accurate three-dimensional coordinates for key anatomical landmarks.
 Traditionally, this is achieved through manual digitization of animal
 videos, a labor-intensive task that grows more so with increasing frame
 rates and numbers of cameras. In this study, we present a workflow that
 combines deep learning-powered automatic digitization with intelligent
 filtering and correction of mislabeled points using 3D information. We
 tested our workflow using a particularly challenging scenario – bat
 flight. First, we documented bats flying steadily in a wind tunnel. We
 compared the results from manually digitizing bats with markers applied to
 anatomical landmarks against using our automatic workflow on the same bats
 without markers. In our second test case, we compared manual digitization
 against our automated workflow for bats exhibiting complex maneuvers in a
 large flight arena. We found that the variation between the 3D coordinates
 from our workflow and those from manual digitization was less than a
 millimeter larger than the variation between 3D coordinates resulting from
 two different human digitizers. The reduced reliance on manual
 digitization stemming from this work has the potential to significantly
 increase the scalability of studies into the detailed biomechanics of
 animal flight.
description: Overview The data shared here is two
 DeepLabCut projects, trained on bats in flight.
 "Brown2021_accuracy_test-DLTdv-2023-01-28" and
 "Austin2020_accuracy_test-DLTdv-2023-04-07". Both trained and
 ready for use. They also contain the data on which the networks were
 trained. See related article and supplement for more
 details, and for link to the GitHub repo hosting related code.
 Filming Filming for
 "Brown2021_accuracy_test-DLTdv-2023-01-28" was performed in the
 Animal Flight and Aeromechanics (AFAM) Wind Tunnel Facility, Prince
 Engineering Labs, Brown University. Filming for
 "Austin2020_accuracy_test-DLTdv-2023-04-07" was performed at the
 Austin Bat Refuge. Digitizing The
 training/testing data was digitized using DLTdv and then converted into
 DeepLabCut compatible format using custom Matlab scripts.
description: # Application of a Novel Deep Learning Based 3D Videography Workflow to
 Bat Flight data
 [https://doi.org/10.5061/dryad.0cfxpnw7x](https://doi.org/10.5061/dryad.0cfxpnw7x) This dataset accompanies the article Application of a Novel Deep Learning Based 3D Videography Workflow to Bat Flight, in preparation to be submitted to the Annals of the New York Academy of Sciences. The dataset contains training data and trained DeepLabCut networks produced for that manuscript. ## Description of the data and file structure ### Overview Data consists of two DeepLabCut (DLC) networks with associated training data. See [DeepLabCut/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans (github.com)](https://github.com/DeepLabCut/DeepLabCut#readme) for details on how to set up and run DeepLabCut. Note that this repository will be of little use if you are not familiar with DeepLabCut or related packages. Also note that the code used for using this repository is not provided here, but rather in the related GitHub repository (see Code/Software section). ### File structure The DeepLabCut projects take the shape of two project folders ("Austin2020\_accuracy\_test-DLTdv-2023-04-07" and "Brown2021\_accuracy\_test-DLTdv-2023-01-28") compressed as zip files. Once extracted, each project folder consists of four folders and a yaml file, described below. Both projects are based on, and used for analyzing, videos of bats in flight. * *config.yaml*. This file contains information about the project, such as the video sets the training data is based on, the labels for the tracked bodyparts, and so on. Before using, the project\_path parameter needs to be changed to reflect where you are storing the network on your machine. Furthermore, the snapshotindex parameter should be changed if you wish to use another training state of the network than the one we used. Most importantly, note that this file is the one you need to refer to when using most DeepLabCut functions. For instance, if you want to analyze a video, you would use the command `DeepLabCut.analyze_videos(config_path, videos=videoListOrFolderPath, shuffle=shuffleNumber, save_as_csv=TrueOrFalse).` Where config\_path would be the path to config.yaml. * *dlc-models (folder)*. This folder contains the trained DeepLabCut models. For the "Brown2021" project, we only have one model trained. For the "Austin2020" one we have two, one that didn't use the augmentation for reducing propensity for mixing up left and right (shuffle3, and one that did shuffle4). This folder is important for two reasons. 1) It contains the trained models with which to analyze videos, so-called snapshots, meaning without it you can't use the project for analyzing videos. The snapshots are stored in dlc-models/iteration-0/NameOfProjectXXshuffleN, where XX is a number indicating the proportion of the training data to the total data in percentages (default 95%), and N refers to the shuffle number. Shuffle can be thought of as a way of storing multiple networks within a project, e.g. to try different train/test splits or different network settings. Each stored snapshot is composed of three files, a meta file, an index file, and files with custom file endings, e.g. "snapshot-750000.meta", "snapshot-750000.index", and "snapshot-750000.data-00000-of-00001" for the snapshot resulting from 750,000 iterations of training. This subfolder also contains the "pose\_cfg.yaml" file which contains parameters used when training the network, such as base network, optimizer, and augmentation parameters, as well as the learning stats file "learning\_stats.csv" that outlines the training loss and loss ratio during the training of the network. 2) The trained models within it can be used as base networks on which to train a new network with additional training data. If you, for instance, have a dataset of flying bats but the models we provide here aren't providing acceptable accuracy (they probably won't on their own), you might want to consider replacing a more common base-network, such as ResNet50, with one of our snapshots, and then training a new network with data from your own project. See DeepLabCut documentation for how to do this. * *evaluation-results (folder)*. This folder contains the results from comparing the landmark coordinates arrived at by the DLC network against coordinates resulting from manual digitization, stored as CSV files. Results are available for each. We use it to decide which snapshot performs best. For example, for the "Brown2021" project, the evaluation CSV is located in "\\Brown2021\_accuracy\_test-DLTdv-2023-01-28\\evaluation-results\\iteration-0\\CombinedEvaluation-results.csv", and its first five rows looks like this: | | Training iterations: | %Training dataset | Shuffle number | Train error(px) | Test error(px) | p-cutoff used | Train error with p-cutoff | Test error with p-cutoff | | --- | -------------------- | ----------------- | -------------- | --------------- | -------------- | ------------- | ------------------------- | ------------------------ | | 0 | 100000 | 95 | 1 | 4.12 | 6.74 | 0.6 | 3.53 | 5.22 | | 1 | 150000 | 95 | 1 | 3.3 | 7.3 | 0.6 | 3.01 | 5.79 | | 2 | 200000 | 95 | 1 | 2.9 | 7.38 | 0.6 | 2.72 | 6.05 | | 3 | 250000 | 95 | 1 | 2.69 | 6.73 | 0.6 | 2.58 | 5.52 | | 4 | 300000 | 95 | 1 | 2.65 | 6.52 | 0.6 | 2.49 | 5.22 | | 5 | 350000 | 95 | 1 | 2.38 | 6.47 | 0.6 | 2.29 | 5.75 | "Training iterations" refer to iterations of training, so the snapshot with that many iterations. "%Training dataset" refers to the train/split proportion of that snapshot, i.e. how many percentages of the labeled data that were used as training data, here 95%. "Shuffle number" is explained above. "error(px)" refers to the average Euclidian pixel distance between the coordinates of the manual label and the corresponding automatically placed label, and the qualifier before ("Train" and "Test") refers to if the accuracy was tested on data designated as testing or training data, i.e. if the network was trained on the frames tested on or not. Train error is typically lower than Test error since the network has never "seen" the test data, it is only used for testing. "p-cutoff used" refers to the DLC-assigned confidence limit of the data considered in the two last columns. The confidence is a measure of how certain the network is of a prediction. If for instance, a prediction is made with a confidence of less than 0.1 (10%) it might, depending on the context, be wise to disregard that prediction, i.e. filter it out. So for the last two columns, predictions with a confidence of less than 0.6 (60%) are filtered out before calculating the mean error, which is why the columns "Train error with p-cutoff" and "Test error with p-cutoff" have lower values than the corresponding non-filtered error columns. Of the snapshots reported in the example above (100,000 to 350,000), I would likely choose to use the 300,000-iterations one, since it has a comparatively low error before and after filtering out low-confidence predictions. * *labeled-data (folder)*. This folder contains frames from the videos we digitized along with the coordinates for the landmarks digitized for that particular frame. Each subfolder represents a digitized video and contains extracted frames as PNG files and the coordinates of the digitized labels are stored in a CSV file and a H5 file, where the H5 file is intended for internal use by DLC and the CSV file is more suited to human reading. To explain the stored data in more detail, here follows the first six rows and seven columns of an example CSV file with coordinates: | scorer | | | DLTdv | DLTdv | DLTdv | DLTdv | | ------ | --- | --- | ----- | ----- | ----- | ----- | | bodyparts | | | t3L | t3L | wstL | wstL | | coords | | | x | y | x | y | | labeled-data | AFAMcarollia\_ ... \_F1\_croppedtraining | AFAMcarollia\_ ... \_F1\_croppedtraining260.png | 231.1788 | 38.5795 | 146.6479 | 100.0577 | | labeled-data | AFAMcarollia\_ ... \_F1\_croppedtraining | AFAMcarollia\_ ... \_F1\_croppedtraining270.png | 257.6643 | 44.6277 | 154.557 | 74.335 | | labeled-data | AFAMcarollia\_ ... \_F1\_croppedtraining | AFAMcarollia\_ ... \_F1\_croppedtraining280.png | 276.2536 | 51.5159 | 164.5954 | 62.2425 | "scorer" refers to the name of the person performing the labeling, we used "DLTdv" as scorer name since we digitized the videos using DLTdv. "bodyparts" refers to the names of the anatomical landmarks, visible in this example is "t3L" - tip of the third digit on the left wing, and "wstL" the wrist on the left wing. "x" and "y" refers to the numbers in the rows below being either the x or the y coordinates. Starting on the forth row is the actual data, and the first three columns make up the path to the PNG files, so the first one would be "labeled-data\\AFAMcarollia\_ ... \_F1\_croppedtraining\\AFAMcarollia\_ ... \_F1\_croppedtraining260.png", and the following columns are the x and y coordinates of the digitized landmarks. Overall, the data in this foler ("labeled-data") is very useful if you want to create a new DeepLabCut project that uses your own data together with ours, that way you have a head start and won't need to provide as much digitizing of your own. Note that the digitizing scheme we use is as pictured below, meaning you would need to use the same in your project (although see [SuperAnimal models pretrained for plug-and-play analysis of animal behavior (arxiv.org)](https://arxiv.org/abs/2203.07436v2) for a way to combine training data of different digitizing schemes) ![image.png](data:image/png;base64,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) * training-datasets (folder). This folder contains subfolders (e.g. "\\training-datasets\\iteration-0\\UnaugmentedDataSet\_Brown2021\_accuracy\_testJan28") that contain overviews of all the training data, a combination of all the CSVs and H5s in the "labeled-data" folder. It also contains a mat (Matlab) and pickle file for the training data of each shuffle. These are intended for internal use by DLC and don't lend themselves well to human reading, but the pickle files contained within can however be used if one wants to create a training dataset with identical train/test split. See code snippet below for an example of how to do that. `import pandas as pd` `obj = pd.read_pickle(r'\\Path\\To\\Project\\Folder\\training-datasets\\iteration-0\\UnaugmentedDataSet_ProjectName\\Documentation_data-ProjectName_95shuffle1.pickle')` `trainIndices = obj[1]` `testIndices = obj[2]` `deeplabcut.create_training_dataset(config_path, trainIndices=[trainIndices], testIndices=[testIndices])` ## Code/Software The data contained in this repo is, to be clear, mostly created automatically by use of the Python package DeepLabCut. The labeled data, was created by using DLTdv to digitize videos of bats in flight and converting the DLTdv projects from the DLTdv format into one readable by DeepLabCut using in-house developed Matlab code. That code will be available on the related GitHub repo: [biol-jsh/DLC-DLTdv-workflow: Code used for manuscript Application of deep learning based 3D videography to bat flight (github.com)](https://github.com/biol-jsh/DLC-DLTdv-workflow) Note that the Repo is in the process of being updated at the time of submission. For more information on DeepLabCut and DLTdv, please see GitHub repo to DeepLabCut: [DeepLabCut/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans (github.com)](https://github.com/DeepLabCut/DeepLabCut) and DLTdv GitHub repo: [tlhedrick/dltdv: DLTdv MATLAB based video digitizing and annotation tool (github.com)](https://github.com/tlhedrick/dltdv) and webpage: [DLTdv digitizing tool | Hedrick Lab :: Comparative Biomechanics (unc.edu)](https://biomech.web.unc.edu/dltdv/) ## More information A link to the related article will be added when the DOI becomes available.