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Add MOCA dataset interpolated

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6 mengubah file dengan 199 tambahan dan 9 penghapusan
  1. 2 0
      README.md
  2. 169 0
      bboxes/VIA_single-crab_MOCA-crab-1_linear-interp.csv
  3. 1 0
      bboxes_hashes.txt
  4. 18 0
      metadata.yaml
  5. 4 4
      poses_hashes.txt
  6. 5 5
      videos_hashes.txt

+ 2 - 0
README.md

@@ -9,6 +9,8 @@ Sampe data for testing the movement Python package
 The `single-crab_MOCA-crab-1_video.mp4` video and corresponding annotations are part of the [Moving Camouflaged Animals Dataset (MoCA) dataset](https://www.robots.ox.ac.uk/~vgg/data/MoCA/).
 The MoCA dataset is available to download for commercial/research purposes under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). The copyright remains with the original owners of the video. A complete version of the license for the MoCA dataset can be found [here](https://thor.robots.ox.ac.uk/MoCA/license_MoCA.txt).
 
+The `VIA_single-crab_MOCA-crab-1_linear-interp.csv` file is linearly interpolated from the original data in the MoCA dataset and was contributed by GitHub contributor Mahima Sahu (@Mahi7828).
+
 The original annotation data for the selected clip (`crab_1`) was modified to follow the format of a [VIA tracks file](https://www.robots.ox.ac.uk/~vgg/software/via/docs/face_track_annotation.html). The associated video clip was generated from the frames provided in the MoCA dataset.
 
 The `anipose_mouse-paw_anipose-paper.triangulation.csv` file was taken from `anipose` source data available [here](https://datadryad.org/stash/dataset/doi:10.5061/dryad.nzs7h44s4), released under a [Creative Commons Zero v1.0 Universal License](https://spdx.org/licenses/CC0-1.0.html). The data excerpt was renamed from `mouse-anipose/mouse-testing/020820_preDTreaches_day1/020820_JiDT12/pose-3d/preDT1_JiDT12_reach1_hit.csv`.

+ 169 - 0
bboxes/VIA_single-crab_MOCA-crab-1_linear-interp.csv

@@ -0,0 +1,169 @@
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+ 1 - 0
bboxes_hashes.txt

@@ -1,2 +1,3 @@
 VIA_multiple-crabs_5-frames_labels.csv 98de641c2577b210263ea85b02a0c7bf17d144ed9268730242a7d5869f86434b
 VIA_single-crab_MOCA-crab-1.csv df68f3d957c1de999d48428c41fc2ed21c8b884160c5eced942c8215c572a99e
+VIA_single-crab_MOCA-crab-1_linear-interp.csv ffdaeb5f6e83281e8e41a317ed2019bd8b6e37c6f5b790d4d13d2f5ecc94c991

+ 18 - 0
metadata.yaml

@@ -377,6 +377,24 @@
     sha256sum: "98b70c1e19b072158f50685ca55c3a7b01a94c0400091223fe750db8e3cf2a16"
   note: "The video is 168 frames long, but the file contains annotations for 35 frames only (1 every 5 frames in the video, plus the first and the last frame). "
 
+  "VIA_single-crab_MOCA-crab-1_linear-interp.csv":
+  sha256sum: "ffdaeb5f6e83281e8e41a317ed2019bd8b6e37c6f5b790d4d13d2f5ecc94c991"
+  source_software: "VIA-tracks"
+  type: "bboxes"
+  fps: 24
+  species: "crab"
+  number_of_individuals: 1
+  shared_by:
+    name: "GitHub contributor Mahima Sahu (@Mahi7828), modified from 'MoCA - Moving Camouflaged Animals Dataset'"
+    affiliation: "IIT Bombay"
+  frame:
+    file_name: "single-crab_MOCA-crab-1_frame-0.jpg"
+    sha256sum: "02d3977371ffc31ff51364e0487e097e9d072075e811e9b869967a92ecf67501"
+  video:
+    file_name: "single-crab_MOCA-crab-1_video.mp4"
+    sha256sum: "98b70c1e19b072158f50685ca55c3a7b01a94c0400091223fe750db8e3cf2a16"
+  note: "This file is the linearly interpolated version of the VIA_single-crab_MOCA-crab-1.csv file. "
+
 "anipose_mouse-paw_anipose-paper.triangulation.csv":
   sha256sum: "5ccd549bc122154b0e4a6bd01b4a8ee6f21c28dc3e1651a19dd0dd09f89d64e6"
   source_software: "Anipose"

+ 4 - 4
poses_hashes.txt

@@ -2,12 +2,12 @@ DLC_rotating-mouse_eye-tracking_stim-black.predictions.h5 6d76f75ee076fadf004f4d
 DLC_rotating-mouse_eye-tracking_stim-uniform.predictions.h5 bd8bd6bbd95bc998d863dc78fb42a40e47e9e0b37f700384f16546bd3b738b95
 DLC_single-mouse_EPM.predictions.csv 859fe530407c1a2e229668c0fcd2693d24eadafb9e64ece845092ce53b96c3fd
 DLC_single-mouse_EPM.predictions.h5 e9c5a61790d6881d5639b2fd7c1c4afcb8521840d3d9a1bb613595529e06a7fc
-DLC_single-mouse_pupil-tracking.predictions.h5 8ac61027ab24a95c22e320814c81f11bdcd3256e6e8519292acb155a14b8752d
+DLC_single-mouse_pupil-tracking.predictions.h5 92eb45ba3bf1dd12dc2837a63925f04ce56bfafa388a6ed5c0914d83d5ad7af2
 DLC_single-wasp.predictions.csv 9b194cc930c2e2e0d33c816320d029f889b306d53ff2fe95ff408e99c9cdea23
 DLC_single-wasp.predictions.h5 931dddb6ef5e08db6054d3757a441ee31dd0d9ff5a10802ad8405d6c4e7e274e
-DLC_two-mice.predictions.csv 6e891ab4e14a3ad74451ed0899f770b47aa3eb959d9824d3782827297d7c75e0
-LP_mouse-face_AIND.predictions.csv 13620f20a3fbb20c9ef0ad6fd8898944d2cfe3e83c5fe18946b7592e0a718da2
-LP_mouse-twoview_AIND.predictions.csv 22cded593ff77226dffab3c10f87874e597d86d70d62a81e5c4c690a96fd1e49
+DLC_two-mice.predictions.csv 217de09fbc5a4f3ba04aeec9aeb830deccc831a6a7a8f6ab344d03373800e142
+LP_mouse-face_AIND.predictions.csv 623edbc7b924275597acee222947cdbe473dbdc64e8be612827318f12ff3ae98
+LP_mouse-twoview_AIND.predictions.csv f54ce1c027c5d3eae758168042177a251f46cc657877b84d4e2bcaf05e84793c
 SLEAP_single-mouse_EPM.analysis.h5 33f8e21961ded2081495a75997391835ce4596049d8ab497ebd761124d9b0ac2
 SLEAP_single-mouse_EPM.predictions.slp 42c2e6e14aa57d61a9ed7e1eae56562c1e95d275d227c304f6d89f919775f656
 SLEAP_three-mice_Aeon_mixed-labels.analysis.h5 899651ec027eb8fd6181246f89142ad1c0a40f14394fc8144d44ea093c0e137d

+ 5 - 5
videos_hashes.txt

@@ -1,7 +1,7 @@
-rotating-mouse_eye-tracking_stim-black_video.mp4 a7972d5dde19a1f994fc72a23ee693102a5e3ee59bc386273ca089354fde07b5
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