فهرست منبع

add IBL-paw EKS files

niksirbi 1 سال پیش
والد
کامیت
65656f9005
4فایلهای تغییر یافته به همراه2057 افزوده شده و 5 حذف شده
  1. 5 1
      README.md
  2. 52 4
      metadata.yaml
  3. 1000 0
      poses/EKS_IBL-paw_multicam_left.predictions.csv
  4. 1000 0
      poses/EKS_IBL-paw_multicam_right.predictions.csv

+ 5 - 1
README.md

@@ -29,9 +29,13 @@ The video was originally recorded at 5 frames per second but the playback in thi
 
 The `locusts-noqr_n-5_date-20250117_frame-bg.png` file constitutes the max projection of the first 100 frames of the video.
 
+### IBL-paw dataset
+These data come from IBL Brainwide maps data release [3] and are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The specific CSV files shared here (`EKS_IBL-paw_multicam_left.predictions.csv` and `EKS_IBL-paw_multicam_right.predictions.csv`) were generated using the Ensemble Kalman Smoother (EKS) on the multi-camera IBL-paw files that are distributed as part of the EKS repository https://github.com/paninski-lab/eks.
 
 ## References
 
 1. Lamdouar, H., Yang, C., Xie, W., & Zisserman, A. (2020). "Betrayed by motion: Camouflaged object discovery via motion segmentation". In _Proceedings of the Asian Conference on Computer Vision_. [doi: 10.48550/arXiv.2011.11630](https://doi.org/10.48550/arXiv.2011.11630)
 
-2. Albi, Angela; Walter, Tristan; Carlesso, Daniele, 2025, "Example videos for multi-object tracking", [doi: 10.17617/3.7F5MGE](https://doi.org/10.17617/3.7F5MGE), Edmond, V1
+2. Albi, Angela; Walter, Tristan; Carlesso, Daniele, 2025, "Example videos for multi-object tracking", [doi: 10.17617/3.7F5MGE](https://doi.org/10.17617/3.7F5MGE), Edmond, V1
+
+3. Laboratory, International Brain (2022). Data release - Brainwide map - Q4 2022. figshare. Preprint. [doi: 10.6084/m9.figshare.21400815.v6](https://doi.org/10.6084/m9.figshare.21400815.v6)

+ 52 - 4
metadata.yaml

@@ -567,7 +567,55 @@ SLEAP_OSFM_zebras_drone.h5:
     file_name: null
     sha256sum: null
   note: 44 trajectories of zebras (Equus quagga) in escape behaviour, in world coordinate
-    system, recorded for 3.5 min. Each individual has two keypoints (head and tail). The 
-    original trajectory data was obtained from a moving camera drone, and then expressed in 
-    a coordinate system fixed to the ground using structure-from-motion (with OpenSFM and OpenDroneMap). 
-    See https://github.com/neuroinformatics-unit/zebras-stitching for further details.
+    system, recorded for 3.5 min. Each individual has two keypoints (head and tail).
+    The original trajectory data was obtained from a moving camera drone, and then
+    expressed in a coordinate system fixed to the ground using structure-from-motion
+    (with OpenSFM and OpenDroneMap). See https://github.com/neuroinformatics-unit/zebras-stitching
+    for further details.
+EKS_IBL-paw_multicam_left.predictions.csv:
+  sha256sum: 10499eda7321d4da9212f318a7bae654b24a0ee5fbe0557d714cdb55959addeb
+  source_software: EKS
+  type: poses
+  fps: 60
+  species: mouse
+  number_of_individuals: 1
+  shared_by:
+    name: Matt Whiteway
+    affiliation: International Brain Lab (IBL)
+  frame:
+    file_name: null
+    sha256sum: null
+  video:
+    file_name: null
+    sha256sum: null
+  note: These predictions were generated using the Ensemble Kalman Smoother (EKS)
+    on the multi-camera IBL-paw dataset that is distributed as part of the EKS repository
+    https://github.com/paninski-lab/eks. This dataset is from the International Brain
+    Lab (IBL) and consists of head-fixed mice performing a decision-making task. Two
+    cameras, 'left' (60 Hz) and 'right' (150 Hz), capture roughly orthogonal side
+    views of the mouse's face and upper trunk during each session. This particular
+    file corresponds to the left camera output of EKS.
+EKS_IBL-paw_multicam_right.predictions.csv:
+  sha256sum: 074f9bcdf4806e49dfb9e1721a64becada157401046b61c9d8f26c2393893d17
+  source_software: EKS
+  type: poses
+  fps: 60
+  species: mouse
+  number_of_individuals: 1
+  shared_by:
+    name: Matt Whiteway
+    affiliation: International Brain Lab (IBL)
+  frame:
+    file_name: null
+    sha256sum: null
+  video:
+    file_name: null
+    sha256sum: null
+  note: These predictions were generated using the Ensemble Kalman Smoother (EKS)
+    on the multi-camera IBL-paw dataset that is distributed as part of the EKS repository
+    https://github.com/paninski-lab/eks. This dataset is from the International Brain
+    Lab (IBL) and consists of head-fixed mice performing a decision-making task. Two
+    cameras, 'left' (60 Hz) and 'right' (150 Hz), capture roughly orthogonal side
+    views of the mouse's face and upper trunk during each session. This particular
+    file corresponds to the right camera output of EKS. Note that EKS downsampled
+    the right camera's original 150 Hz frame rate to match the left camera's 60 Hz.

+ 1000 - 0
poses/EKS_IBL-paw_multicam_left.predictions.csv

@@ -0,0 +1,1000 @@
+scorer,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker,ensemble-kalman_tracker
+bodyparts,paw_l,paw_l,paw_l,paw_l,paw_l,paw_l,paw_l,paw_l,paw_l,paw_r,paw_r,paw_r,paw_r,paw_r,paw_r,paw_r,paw_r,paw_r
+coords,x,y,likelihood,x_ens_median,y_ens_median,x_ens_var,y_ens_var,x_posterior_var,y_posterior_var,x,y,likelihood,x_ens_median,y_ens_median,x_ens_var,y_ens_var,x_posterior_var,y_posterior_var
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