From 3e0b6b009532cbf635f4107c4298c1394ba61844 Mon Sep 17 00:00:00 2001 From: niksirbi Date: Wed, 29 Nov 2023 01:01:56 +0000 Subject: [PATCH] finished complete draft for slides --- img/behaviour-classification.png | Bin 0 -> 104895 bytes img/task-EPM_rois_napari_screenshot.png | Bin 0 -> 540427 bytes img/video_pipeline.mmd | 7 + img/video_pipeline_actions.mmd | 14 ++ img/video_pipeline_kino.mmd | 12 ++ img/video_pipeline_pose.mmd | 12 ++ index.qmd | 258 +++++++++++++++++++++--- slides/go_to_menti.qmd | 2 +- 8 files changed, 274 insertions(+), 31 deletions(-) create mode 100644 img/behaviour-classification.png create mode 100644 img/task-EPM_rois_napari_screenshot.png create mode 100644 img/video_pipeline.mmd create mode 100644 img/video_pipeline_actions.mmd create mode 100644 img/video_pipeline_kino.mmd create mode 100644 img/video_pipeline_pose.mmd diff --git a/img/behaviour-classification.png b/img/behaviour-classification.png new file mode 100644 index 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a/img/video_pipeline.mmd b/img/video_pipeline.mmd new file mode 100644 index 0000000..c931235 --- /dev/null +++ b/img/video_pipeline.mmd @@ -0,0 +1,7 @@ +flowchart TB + + video -->|compression/re-encoding | video2["compressed video"] + video2 -->|pose estimation + tracking| tracks["pose tracks"] + tracks --> |calculations| kinematics + tracks -->|classifiers| actions["actions / behav syllables"] + video2 --> |comp vision| actions \ No newline at end of file diff --git a/img/video_pipeline_actions.mmd b/img/video_pipeline_actions.mmd new file mode 100644 index 0000000..8c3add3 --- /dev/null +++ b/img/video_pipeline_actions.mmd @@ -0,0 +1,14 @@ +flowchart TB + classDef emphasis fill:#03A062; + + video -->|compression/re-encoding | video2["compressed video"] + video2 -->|pose estimation + tracking| tracks["pose tracks"] + tracks --> |calculations| kinematics + tracks -->|classifiers| actions["actions / behav syllables"] + video2 --> |comp vision| actions + + linkStyle 3 stroke:#03A062, color:; + linkStyle 4 stroke:#03A062, color:; + class tracks emphasis + class video2 emphasis + class actions emphasis \ No newline at end of file diff --git a/img/video_pipeline_kino.mmd b/img/video_pipeline_kino.mmd new file mode 100644 index 0000000..1e66137 --- /dev/null +++ b/img/video_pipeline_kino.mmd @@ -0,0 +1,12 @@ +flowchart TB + classDef emphasis fill:#03A062; + + video -->|compression/re-encoding | video2["compressed video"] + video2 -->|pose estimation + tracking| tracks["pose tracks"] + tracks --> |calculations| kinematics + tracks -->|classifiers| actions["actions / behav syllables"] + video2 --> |comp vision| actions + + linkStyle 2 stroke:#03A062, color:; + class tracks emphasis + class kinematics emphasis \ No newline at end of file diff --git a/img/video_pipeline_pose.mmd b/img/video_pipeline_pose.mmd new file mode 100644 index 0000000..fe504c8 --- /dev/null +++ b/img/video_pipeline_pose.mmd @@ -0,0 +1,12 @@ +flowchart TB + classDef emphasis fill:#03A062; + + video -->|compression/re-encoding | video2["compressed video"] + video2 -->|pose estimation + tracking| tracks["pose tracks"] + tracks --> |calculations| kinematics + tracks -->|classifiers| actions["actions / behav syllables"] + video2 --> |comp vision| actions + + linkStyle 1 stroke:#03A062, color:; + class video2 emphasis + class tracks emphasis \ No newline at end of file diff --git a/index.qmd b/index.qmd index dec239f..cf2adbc 100644 --- a/index.qmd +++ b/index.qmd @@ -31,7 +31,7 @@ format: data-background-image: "img/swc-building.jpg" data-background-size: "cover" data-background-position: "center" - data-background-opacity: "0.5" + data-background-opacity: "0.6" aside-align: center html: theme: [default, niu-light.scss] @@ -84,55 +84,57 @@ Alessandro Felder ::: :::: -## Course materials {.smaller} - -#### These slides -- [neuroinformatics.dev/course-behavioural-analysis-2023]({{< meta links.these-slides >}}) - -#### Course webpage -- [software-skills.neurinformatics.dev/course-behavioural-analysis-2023]({{< meta links.course-webpage >}}) - -#### GitHub repository -- [github.com/neuroinformatics-unit/course-behavioural-analysis-2023]({{< meta links.gh-repo >}}) +## Schedule: morning {.smaller} -#### Sample data -- [Dropbox link]({{< meta links.dropbox >}}) OR... -- `/ceph/scratch/neuroinformatics-dropoff/behav-analysis-course` -- credits to [*Loukia Katsouri, O'Keefe Lab*](https://www.sainsburywellcome.org/web/people/loukia-katsouri) +**10:00 - 10:20: Welcome and troubleshooting** -## Schedule morning {.smaller} - -**10:00 - 10:15: Welcome and troubleshooting** - -**10:15 - 11:00: Theory I** +**10:20 - 11:00: Background** - What is behaviour and why do we study it? - Tracking animals with pose estimation -**11:00 - 12:00: Practical I** +**11:00 - 12:00: Practice with SLEAP** - Annotate video frames - Train a pose estimation model **12:00 - 13:30: Lunch break and SWC lab meeting** -## Schedule afternoon {.smaller} +## Schedule: afternoon {.smaller} -**13:30 - 15:00: Practical II** +**13:30 - 14:30: Practice with SLEAP cont.** - Evaluate trained models - Run inference -- Plot and analyse predictions with `Python` -**15:00 - 15:20: Break** +**14:30 - 15:00: Coffee break and discussion** + +**15:00 - 16:30: Practice with Juptyer notebook** + +- Load and visualise pose tracks +- Filter pose tracks +- Quantify time spent in ROIs -**15:20 - 16:00: Theory II** +**16:30 - 17:00: Further discussion** - Behaviour classification and action segmentation -**16:00 - 17:00: Practical III** -- Behaviour classification with keypoint-MoSeq +## Course materials {.smaller} + +#### These slides +- [neuroinformatics.dev/course-behavioural-analysis-2023]({{< meta links.these-slides >}}) + +#### Course webpage +- [software-skills.neurinformatics.dev/course-behavioural-analysis-2023]({{< meta links.course-webpage >}}) + +#### GitHub repository +- [github.com/neuroinformatics-unit/course-behavioural-analysis-2023]({{< meta links.gh-repo >}}) + +#### Sample data +- [Dropbox link]({{< meta links.dropbox >}}) OR... +- `/ceph/scratch/neuroinformatics-dropoff/behav-analysis-course` +- credits to [*Loukia Katsouri, O'Keefe Lab*](https://www.sainsburywellcome.org/web/people/loukia-katsouri) ## Install SLEAP via conda {.smaller} @@ -240,7 +242,22 @@ source: [{{< meta papers.neuro-needs-behav-title >}}]({{< meta papers.neuro-need ## Quantifying behaviour: modern {.smaller} -![](img/modern_behav_experiment_analysis.png){fig-align="center" height="500px"} +:::: {.columns} + +::: {.column width="70%"} +![](img/modern_behav_experiment_analysis.png){fig-align="center" height="400px"} +::: + +::: {.column width="30%"} + +```{mermaid} +%%| file: img/video_pipeline.mmd +%%| fig-height: 400px +``` + +::: + +:::: ::: aside source: [{{< meta papers.open-source-title >}}]({{< meta papers.open-source-doi >}}) @@ -271,11 +288,25 @@ source: [{{< meta papers.open-source-title >}}]({{< meta papers.open-source-doi ## Pose estimation {.smaller} +:::: {.columns} + +::: {.column width="70%"} ![](img/pose_estimation_2D.png){fig-align="center"} +::: + +::: {.column width="30%"} +```{mermaid} +%%| file: img/video_pipeline_pose.mmd +%%| fig-height: 400px +``` +::: + +:::: - "easy" in humans - vast amounts of data - "harder" in animals - less data, more variability + :::: aside source: [{{< meta papers.quant-behav-title >}}]({{< meta papers.quant-behav-doi >}}) :::: @@ -388,7 +419,7 @@ source: [{{< meta papers.quant-behav-title >}}]({{< meta papers.quant-behav-doi :::: ::: {.fragment style="text-align: center; color: #03A062;"} -**Task**: quantify % time spent in open arms +**Task**: quantify time spent in open arms / closed arms ::: ## The dataset {.smaller} @@ -507,6 +538,41 @@ see also the SLEAP [model evaluation notebook](https://sleap.ai/notebooks/Model_ To correct predictions and update your training data, see SLEAP's [Prediction-assisted labeling](https://sleap.ai/tutorials/assisted-labeling.html) and [Merging guide](https://sleap.ai/guides/merging.html). ::: +## Using SLEAP on the HPC cluster + +::: {.incremental} +- training and inference are GPU-intensive tasks +- SLEAP is installed as a module on SWC's HPC cluster +- `module load sleap` +- [See this guide for detailed instructions](https://howto.neuroinformatics.dev/data_analysis/HPC-module-SLEAP.html){preview-link="true"} +- [Come to the HPC course next week](https://software-skills.neuroinformatics.dev/courses/hpc-behaviour.html){preview-link="true"} +- Similar instructions for the DeepLabCut module underway... +::: + +## Predictions in the sample dataset {.smaller} + +`$ cd behav-analysis-course/mouse-EPM` +```{.bash} +. +└── derivatives + └── behav + ├── software-DLC_predictions + └── software-SLEAP_project + └── predictions +``` +::: {.fragment} +- Different pose estimation software produce predictions in different formats. +- Different workflows are needed for importing predicted poses into `Python` for further analysis. + - e.g. for `SLEAP` see [Analysis examples](https://sleap.ai/notebooks/Analysis_examples.html){preview-link="true"} +::: + +## What happens after tracking? {.smaller} + +```{mermaid} +%%| file: img/video_pipeline_kino.mmd +%%| fig-height: 500px +``` + ## Enter `movement` {.smaller} :::: {.columns} @@ -526,3 +592,135 @@ Python tools for analysing body movements across space and time. :::: +## `movement` features {.smaller} + +Implemented: __I/O__ + +* ✅ import pose tracks from `DeepLabCut` and `SLEAP` +* ✅ represent pose tracks in common data structure +* ⏳ export pose tracks in various formats + +::: {.fragment} +In progress / planned: + +* ⏳ Interactive visualisations: plot pose tracks, ROIs, etc. +* 🤔 Data cleaning: drop bad values, interpolate, smooth, resample etc. +* 🤔 Derive kinematic variables: velocity, acceleration, orientation, etc. +* 🤔 Integrate spatial information about the environment (e.g. ROIs, arena) +* 🤔 Coordinate transformations (e.g. egocentric) +::: + +::: aside +For more info see movement's [Mission & Scope statement](https://movement.neuroinformatics.dev/community/mission-scope.html) and [Roadmap](https://movement.neuroinformatics.dev/community/roadmap.html). +::: + +## The movement data structure {.smaller} + +:::: {.columns} +::: {.column width="50%"} +![single-animal](img/movement-dataset-single-individual.png){fig-align="center" height="400px" style="text-align: center"} +::: + +::: {.column width="50%" .fragment} +![multi-animal](img/movement-dataset-multi-individual.png){fig-align="center" height="400px" style="text-align: center"} +::: +:::: + +::: aside +Powered by [`xarray`](https://docs.xarray.dev/en/latest/index.html) and its [data structures](https://tutorial.xarray.dev/fundamentals/01_datastructures.html) +::: + +## Time to play 🛝 {.smaller} + +In a terminal, clone [the course repository]({{< meta links.gh-repo >}}) and go to the notebooks directory: + +```{.bash} +git clone https://github.com/neuroinformatics-unit/course-behavioural-analysis-2023.git +cd course-behavioural-analysis-2023/notebooks +``` + +::: {.fragment} +Create a new conda environment and install required packages: + +```{.bash} +conda create -n epm-analysis -c conda-forge python=3.10 pytables +conda activate epm-analysis +pip install -r notebook_requirements.txt +``` +::: + +::: {.fragment} +Once all requirements are installed, you can: + +- open the `EPM_analysis.ipynb` notebook +- select the environment `epm-analysis` as the kernel + +We will go through the notebook step-by-step, together. +::: + +## Which mouse was more anxious? +This time, with numbers! + +{{< include slides/go_to_menti.qmd >}} + +## From behaviour to actions {.smaller} + +:::: {.columns} + +::: {.column width="50%"} +```{mermaid} +%%| file: img/video_pipeline_actions.mmd +%%| fig-height: 500px +``` +::: + +::: {.column width="50%"} +Several tools: + +- [SimBA](https://github.com/sgoldenlab/simba) +- [MoSeq](https://dattalab.github.io/moseq2-website/index.html) +- [VAME](https://edspace.american.edu/openbehavior/project/vame/) +- [B-SOID](https://github.com/YttriLab/B-SOID) +- [DLC2action](https://github.com/amathislab/DLC2action) +::: + +:::: + +## Classifying behaviours + +![](img/behaviour-classification.png){fig-align="center" height="400px"} + +::: aside +source: [{{< meta papers.quant-behav-title >}}]({{< meta papers.quant-behav-doi >}}) +::: + +## Supervised vs unsupervised approaches + +{{< include slides/go_to_menti.qmd >}} + +## Feedback + +Tell us what you think about this course! + +Write on [IdeaBoardz](https://ideaboardz.com/for/course-behav-analysis-2023/5137372) +or talk to us anytime. + +## Join the movement! {.smaller} + +:::: {.columns} + +::: {.column width="50%"} +![](img/movement-dataset-multi-individual.png){fig-align="center" height="400px"} +::: + +::: {.column width="50%"} +- Contributions to `movement` are absolutely encouraged, whether to fix a bug, +develop a new feature, improve the documentation, or just spark a discussion. + +- [Chat with us on Zulip]((https://neuroinformatics.zulipchat.com/#narrow/stream/406001-Movement)) + +- Or [open an issue on GitHub](https://github.com/neuroinformatics-unit/movement/issues) +::: + +:::: + diff --git a/slides/go_to_menti.qmd b/slides/go_to_menti.qmd index 77252a4..4521627 100644 --- a/slides/go_to_menti.qmd +++ b/slides/go_to_menti.qmd @@ -1,4 +1,4 @@ -[Click here to post your answers]({{< meta links.menti-link >}}){preview-link="true" style="text-align: center"} +[Answer on mentimeter]({{< meta links.menti-link >}}){preview-link="true"} :::aside OR join at [menti.com](https://www.menti.com/) and use the code {{< meta links.menti-code >}}