Upload batch take-000000-00001 (100 files)

.gitattributes

@@ -116,3 +116,8 @@ Room-scale/take-000001/motive/Take[[:space:]]2026-06-23[[:space:]]08.16.57[[:spa
 Room-scale/take-000001/viz/human/poses_motion.pc2 filter=lfs diff=lfs merge=lfs -text
 Room-scale/take-000001/viz/objects/toscene/Coffee_Cup_toscene.obj filter=lfs diff=lfs merge=lfs -text
 Room-scale/take-000001/viz/objects/toscene/Water_Dispenser_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000000/motions/human/poses_motion.pc2 filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000000/motions/objects/toscene/Coffee_Cup_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000000/motions/objects/toscene/Water_Dispenser_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000000/raw/mocap_raw/Take[[:space:]]2026-06-23[[:space:]]08.13.57[[:space:]]PM.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000000/raw/mocap_raw/Take[[:space:]]2026-06-23[[:space:]]08.13.57[[:space:]]PM_Yukang.bvh filter=lfs diff=lfs merge=lfs -text

Room-scale/take-000000/caption/llm_description.json

@@ -0,0 +1,18 @@
+{
+    "source_video_name": "2026-06-23-20-12-57.mp4",
+    "start": 0.0,
+    "end": 57.8,
+    "size": 37.46365928649902,
+    "FileId": "5001834812627913953",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/c82316625001834812627913953/JIYO234GBgoA.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-23-20-12-57",
+    "response": {
+        "reasoning": "**Analysis of the Video Task and Subtasks**\n\nAlright, let's break this down. The user wants me to analyze a video and derive a clear task description along with a detailed sequence of subtasks, complete with temporal annotations.\n\nFirst, I need to get a handle on the task itself. Observing the video, it appears the person's primary objective is to empty a cup in the sink, rinse it, and then place it on a coffee table. I've refined that to be concise: \"Empty a cup in the sink and place it on a coffee table.\" This should work as a high-level summary.\n\nNow for the subtasks. I'll need to define each meaningful action in an imperative sentence, making sure to be explicit about the objects involved and the structure of any interactions. Each subtask must be continuous, non-overlapping, and cover the entire video duration. Additionally, it must be refined with appropriate \"until...\" termination conditions.\n\nHere's the initial breakdown:\n\n1.  **[00:00 - 00:15]** The person navigates the room towards a counter: `walk to the counter`\n2.  **[00:15 - 00:18]** The person picks up the cup from the counter: `pick up the cup from the counter`\n3.  **[00:18 - 00:23]** The person walks to the sink: `walk to the sink`\n4.  **[00:23 - 00:28]** The person tips the cup over the sink to empty its contents: `pour the liquid from the cup into the sink`\n5.  **[00:28 - 00:30]** The person turns on the tap: `turn on the faucet`\n6.  **[00:30 - 00:34]** The person holds the cup under the running water to rinse it: `wash the cup under the running water`\n7.  **[00:34 - 00:36]** The person turns off the tap: `turn off the faucet`\n8.  **[00:36 - 00:41]** The person tips the cup again to empty the rinse water: `pour the water from the cup into the sink`\n9.  **[00:41 - 00:54]** The person walks carrying the cup to the orange coffee table in front of the yellow sofa: `walk to the coffee table`\n10. **[00:54 - 00:58]** The person places the cup on the coffee table: `place the cup on the coffee table`\n\nNow, let's refine this to make it fully compliant.\n\n*   Task Description: (one concise sentence) **Check**\n*   Subtasks:\n    *   Imperative sentence starting with a verb. **Check**\n    *   Complete meaningful action. **Check**\n    *   Explicitly mention objects (no pronouns). **Check**\n    *   Interaction structure (source, target, tool) when applicable. **Check**\n    *   Termination condition using \"until ...\". **Need to update.**\n*   Temporal requirements: continuous, non-overlapping, covers full duration [0.0-58.0].\n\nOk, time to update the subtasks with the constraints in mind, especially adding those \"until\" termination conditions:\n\n1.  **[0.0-15.0]** walk to the counter\n2.  **[15.0-18.0]** pick up the cup from the counter\n3.  **[18.0-23.0]** walk to the sink\n4.  **[23.0-28.0]** pour the liquid from the cup into the sink until the cup is empty\n5.  **[28.0-30.0]** turn on the faucet\n6.  **[30.0-34.0]** rinse the cup with water from the faucet\n7.  **[34.0-36.0]** turn off the faucet\n8.  **[36.0-41.0]** pour the water from the cup into the sink until the cup is empty\n9.  **[41.0-54.0]** walk to the coffee table\n10. **[54.0-58.0]** place the cup on the coffee table\n\nOne final sweep to ensure temporal continuity, and this should be it:\n\n*   **[0.0-15.0]** walk to\n\n",
+        "result": "Task: Empty a cup in the sink, rinse it, and place it on a coffee table.\n\nSubtasks:\n1. [0.0-15.0] walk to the counter\n2. [15.0-18.0] pick up the cup from the counter\n3. [18.0-23.0] walk to the sink\n4. [23.0-28.0] pour the liquid from the cup into the sink until the cup is empty\n5. [28.0-30.0] turn on the faucet\n6. [30.0-34.0] rinse the cup with water from the faucet\n7. [34.0-36.0] turn off the faucet\n8. [36.0-41.0] pour the water from the cup into the sink until the cup is empty\n9. [41.0-54.0] walk to the coffee table\n10. [54.0-58.0] place the cup on the coffee table",
+        "prompt tokens": 2241,
+        "completion tokens": 1531,
+        "total tokens": 3772
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000000/motions/assets.json

@@ -0,0 +1,20 @@
+{
+  "fps": 60,
+  "n_frames": 5707,
+  "human": {
+    "template": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/human/poses_template.obj",
+    "pc2": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/human/poses_motion.pc2"
+  },
+  "objects": [
+    {
+      "name": "Coffee Cup",
+      "mesh": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/objects/toscene/Coffee_Cup_toscene.obj",
+      "pose_npz": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/objects/pose/Coffee_Cup.npz"
+    },
+    {
+      "name": "Water Dispenser",
+      "mesh": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/objects/toscene/Water_Dispenser_toscene.obj",
+      "pose_npz": "/mnt/d/ace-sync-data/2026-06/2026-06-23-20-12-57/viz/objects/pose/Water_Dispenser.npz"
+    }
+  ]
+}

Room-scale/take-000000/motions/human/poses_motion.pc2

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2600611fdddf30520846a52066ec938d46ab2618d38ff60225160ce192f745d0
+size 717369932

Room-scale/take-000000/motions/objects/bbox_cache.json

@@ -0,0 +1 @@
+{"Coffee Cup": [[-51.629, -93.88000000000001, -34.410000000000004], [-51.629, -93.88000000000001, 55.474000000000004], [-51.629, 24.441000000000003, -34.410000000000004], [-51.629, 24.441000000000003, 55.474000000000004], [38.467, -93.88000000000001, -34.410000000000004], [38.467, -93.88000000000001, 55.474000000000004], [38.467, 24.441000000000003, -34.410000000000004], [38.467, 24.441000000000003, 55.474000000000004]], "Water Dispenser": [[-66.49900000000001, -311.162, -213.695], [-66.49900000000001, -311.162, 182.165], [-66.49900000000001, 19.867, -213.695], [-66.49900000000001, 19.867, 182.165], [83.392, -311.162, -213.695], [83.392, -311.162, 182.165], [83.392, 19.867, -213.695], [83.392, 19.867, 182.165]]}

Room-scale/take-000000/motions/objects/pose/Coffee_Cup.npz

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+oid sha256:4513440ee95f9161da1b29b7979b2665715d3293cd049a246c4888c90203bab3
+size 160296

Room-scale/take-000000/motions/objects/pose/Water_Dispenser.npz

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+size 160296

Room-scale/take-000000/motions/objects/toscene/Coffee_Cup_toscene.obj

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+oid sha256:0facbd9cf272be95fd392e837e941a288782a49178bf50f589f59e95844ddaba
+size 96615316

Room-scale/take-000000/motions/objects/toscene/Water_Dispenser_toscene.obj

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+size 22361452

Room-scale/take-000000/motions/poses.pkl

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+size 4141336

Room-scale/take-000000/motions/smplx.npz

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+size 4411976

Room-scale/take-000000/motions/video.mp4

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+oid sha256:c5b5e4d9fd46ff54386b87f2028f14680b73c5fb04e8941d2d5487375cba442b
+size 717088

Room-scale/take-000000/raw/egocentric_raw/20260214_055828.605880564-20260214_060005.498541944.wav

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+oid sha256:5cd8089d562251de7dc57eac3689f8d38b811172598d4ce0b283a62f26529106
+size 8544300

Room-scale/take-000000/raw/egocentric_raw/20260214_055828/metadata.json

@@ -0,0 +1,4 @@
+{
+  "DEVICE UID": "7211577584",
+  "DEVICE VERSION": "v2"
+}

Room-scale/take-000000/raw/egocentric_raw/20260214_055828/mjpeg.bin

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Room-scale/take-000000/raw/egocentric_raw/calibration_cache/7211577584/calibration.json

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+{
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+    "camera_model": "pinhole",
+    "distortion_model": "equidistant"
+  }
+}

Room-scale/take-000000/raw/egocentric_raw/calibration_cache/7211577584/camchain.yaml

@@ -0,0 +1,47 @@
+cam0:
+  cam_overlaps: [1, 2, 3]
+  camera_model: pinhole
+  distortion_coeffs: [-0.05761959903731187, 0.0029356256212510054, -0.006634361165985679, 0.0017843379743501806]
+  distortion_model: equidistant
+  intrinsics: [395.00109559502636, 394.7747916429034, 536.1617651628547, 673.6553587142616]
+  resolution: [1088, 1280]
+  rostopic: /cam2/image_raw
+cam1:
+  T_cn_cnm1:
+  - [-0.8757267034226962, -0.4334105804454474, -0.21273929977874914, -0.03558586437354394]
+  - [0.430325390635062, -0.5008877925235563, -0.7509537119394611, -0.1266418904865405]
+  - [0.21891276593016093, -0.7491773408605029, 0.625148392666883, -0.06172188622562206]
+  - [0.0, 0.0, 0.0, 1.0]
+  cam_overlaps: [0, 2, 3]
+  camera_model: pinhole
+  distortion_coeffs: [-0.05447515001895322, -0.004585362477944007, -0.0014068764700961882, 0.0007025151712548356]
+  distortion_model: equidistant
+  intrinsics: [393.55340406395106, 393.28715684686443, 542.2206853120093, 657.4503753501341]
+  resolution: [1088, 1280]
+  rostopic: /cam1/image_raw
+cam2:
+  T_cn_cnm1:
+  - [-0.5375188088397032, 0.24936962591266637, 0.8055360450133361, 0.12970697966945538]
+  - [-0.25669503412415545, 0.8615487000157906, -0.4379971426357756, -0.07346810254112937]
+  - [-0.8032317160069996, -0.4422088049477103, -0.39908668635670197, -0.22362519911425208]
+  - [0.0, 0.0, 0.0, 1.0]
+  cam_overlaps: [0, 1, 3]
+  camera_model: pinhole
+  distortion_coeffs: [-0.05836168773666623, 0.0007872549620501365, -0.00629456849079218, 0.002390768156079088]
+  distortion_model: equidistant
+  intrinsics: [395.4542533845256, 395.5537951778382, 545.8560606598916, 657.9798005111777]
+  resolution: [1088, 1280]
+  rostopic: /cam0/image_raw
+cam3:
+  T_cn_cnm1:
+  - [-0.6251662803454691, 0.4297032782530559, -0.6515536927817833, -0.10028190094522217]
+  - [-0.43520354339784484, 0.5010539057936366, 0.7480259750188444, 0.11509551220532377]
+  - [0.6478927362866185, 0.75119909221691, -0.1262336172321775, -0.17129991531294733]
+  - [0.0, 0.0, 0.0, 1.0]
+  cam_overlaps: [0, 1, 2]
+  camera_model: pinhole
+  distortion_coeffs: [-0.056216443478993725, -0.005317845099511976, -6.621165624969179e-05, 0.00011839559082425627]
+  distortion_model: equidistant
+  intrinsics: [395.72395165269614, 395.26038160815466, 538.9967644789181, 641.4500725845512]
+  resolution: [1088, 1280]
+  rostopic: /cam3/image_raw

Room-scale/take-000000/raw/egocentric_raw/calibration_cache/7211577584/imucam.yaml

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+cam0:
+  T_cam_imu:
+  - [0.2514088520272634, 0.8660599443641283, -0.4321270205510593, 0.10188597792517858]
+  - [-0.8628168330240137, -0.00176234833956318, -0.5055136069174997, 0.04295969162817004]
+  - [-0.43856664461942835, 0.49993706293525797, 0.7468080284322893, -0.2345469876624922]
+  - [0.0, 0.0, 0.0, 1.0]
+  cam_overlaps: [1, 2, 3]
+  camera_model: pinhole
+  distortion_coeffs: [-0.05761959903731187, 0.0029356256212510054, -0.006634361165985679, 0.0017843379743501806]
+  distortion_model: equidistant
+  intrinsics: [395.00109559502636, 394.7747916429034, 536.1617651628547, 673.6553587142616]
+  resolution: [1088, 1280]
+  rostopic: /cam2/image_raw
+  timeshift_cam_imu: 0.012795688642585352

Room-scale/take-000000/raw/egocentric_raw/calibration_cache/7211577584/orb-slam3.yaml

@@ -0,0 +1,161 @@
+%YAML:1.0
+
+#--------------------------------------------------------------------------------------------
+# Camera Parameters. Adjust them!
+#--------------------------------------------------------------------------------------------
+File.version: "1.0"
+
+Camera.type: "KannalaBrandt8"
+
+# Left Camera calibration and distortion parameters (OpenCV)
+Camera1.fx: 395.00109559502636
+Camera1.fy: 394.7747916429034
+Camera1.cx: 536.1617651628547
+Camera1.cy: 673.6553587142616
+
+# Kannala-Brandt distortion parameters
+Camera1.k1: -0.05761959903731187
+Camera1.k2: 0.0029356256212510054
+Camera1.k3: -0.006634361165985679
+Camera1.k4: 0.0017843379743501806
+
+# Right Camera calibration and distortion parameters (OpenCV)
+Camera2.fx: 393.55340406395106
+Camera2.fy: 393.28715684686443
+Camera2.cx: 542.2206853120093
+Camera2.cy: 657.4503753501341
+
+# Kannala-Brandt distortion parameters
+Camera2.k1: -0.05447515001895322
+Camera2.k2: -0.004585362477944007
+Camera2.k3: -0.0014068764700961882
+Camera2.k4: 0.0007025151712548356
+
+# Side-Left Camera calibration and distortion parameters (OpenCV)
+Camera3.fx: 395.4542533845256
+Camera3.fy: 395.5537951778382
+Camera3.cx: 545.8560606598916
+Camera3.cy: 657.9798005111777
+
+# KannalaBrandt8 distortion parameters
+Camera3.k1: -0.05836168773666623
+Camera3.k2: 0.0007872549620501365
+Camera3.k3: -0.00629456849079218
+Camera3.k4: 0.002390768156079088
+
+# Side-Right Camera calibration and distortion parameters (OpenCV)
+Camera4.fx: 395.72395165269614
+Camera4.fy: 395.26038160815466
+Camera4.cx: 538.9967644789181
+Camera4.cy: 641.4500725845512
+
+# KannalaBrandt8 distortion parameters
+Camera4.k1: -0.056216443478993725
+Camera4.k2: -0.005317845099511976
+Camera4.k3: -6.621165624969179e-05
+Camera4.k4: 0.00011839559082425627
+
+# Transformation matrix from right camera to left camera
+Stereo.T_c1_c2: !!opencv-matrix
+  rows: 4
+  cols: 4
+  dt: f
+  data: [ -0.8757267034,  0.4303253906,  0.2189127659,  0.0368454381,  -0.4334105804,  -0.5008877925,  -0.7491773409,  -0.1250973057,  -0.2127392998,  -0.7509537119,  0.6251483927,  -0.0640873717,  0.0000000000,  0.0000000000,  0.0000000000,  1.0000000000]
+
+# Overlapping area between images (to be updated)
+Camera1.overlappingBegin: 0
+Camera1.overlappingEnd: 1088
+
+Camera2.overlappingBegin: 0
+Camera2.overlappingEnd: 1088
+
+Camera3.overlappingBegin: 0   #Left and Side Left
+Camera3.overlappingEnd: 1088
+
+Camera4.overlappingBegin: 0   #Right and Side Right
+Camera4.overlappingEnd: 1088
+
+# Camera resolution
+Camera.width: 1088
+Camera.height: 1280
+
+# Camera frames per second
+Camera.fps: 20
+
+# Color order of the images (0: BGR, 1: RGB. It is ignored if images are grayscale)
+Camera.RGB: 1
+
+# Close/Far threshold. Baseline times.
+Stereo.ThDepth: 40.0
+
+# Transformation from body-frame (imu) to left camera
+IMU.T_b_c1: !!opencv-matrix
+   rows: 4
+   cols: 4
+   dt: f
+   data: [0.25140885, -0.86281683, -0.43856664, -0.09141318, 0.86605994, -0.00176235, 0.49993706, 0.02909508, -0.43212702, -0.50551361, 0.74680803, 0.24090597, 0.00000000, 0.00000000, 0.00000000, 1.00000000]
+
+# Transformation from side-left camera to body-frame (imu)
+IMU.T_b_c3: !!opencv-matrix
+  rows: 4
+  cols: 4
+  dt: f
+  data: [0.42824471, 0.49872385, -0.75357879, -0.13353250, 0.86951014, -0.00031935, 0.49391498, 0.02683309, 0.24608653, -0.86676088, -0.43378220, 0.04775843, 0.00000000, 0.00000000, 0.00000000, 1.00000000]
+
+# Transformation from side-right camera to body-frame (imu)
+IMU.T_b_c4: !!opencv-matrix
+  rows: 4
+  cols: 4
+  dt: f
+  data: [0.43757616, -0.50018259, 0.74722452, 0.09591673, -0.86553778, -0.00911267, 0.50076074, 0.02686441, -0.24366259, -0.86587201, -0.43691442, 0.04813807, 0.00000000, 0.00000000, 0.00000000, 1.00000000]
+
+# IMU noise
+IMU.NoiseGyro: 0.0016968 # rad/s^0.5
+IMU.NoiseAcc: 0.02 # m/s^1.5
+IMU.GyroWalk: 0.00019393 # rad/s^1.5
+IMU.AccWalk: 0.03 # m/s^2.5
+IMU.Frequency: 200.0
+
+#--------------------------------------------------------------------------------------------
+# ORB Parameters
+#--------------------------------------------------------------------------------------------
+
+# ORB Extractor: Number of features per image
+ORBextractor.nFeatures: 1500 # Tested with 1250
+
+# ORB Extractor: Scale factor between levels in the scale pyramid
+ORBextractor.scaleFactor: 1.2
+
+# ORB Extractor: Number of levels in the scale pyramid
+ORBextractor.nLevels: 8
+
+# ORB Extractor: Fast threshold
+# Image is divided in a grid. At each cell FAST are extracted imposing a minimum response.
+# Firstly we impose iniThFAST. If no corners are detected we impose a lower value minThFAST
+# You can lower these values if your images have low contrast
+ORBextractor.iniThFAST: 15
+ORBextractor.minThFAST: 7
+
+#--------------------------------------------------------------------------------------------
+# Viewer Parameters
+#--------------------------------------------------------------------------------------------
+Viewer.KeyFrameSize: 0.05
+Viewer.KeyFrameLineWidth: 1.0
+Viewer.GraphLineWidth: 0.9
+Viewer.PointSize: 2.0
+Viewer.CameraSize: 0.08
+Viewer.CameraLineWidth: 3.0
+Viewer.ViewpointX: 0.0
+Viewer.ViewpointY: -0.7
+Viewer.ViewpointZ: -3.5
+Viewer.ViewpointF: 500.0
+Viewer.imageViewScale: 0.45
+
+#--------------------------------------------------------------------------------------------
+# Map Parameters
+#--------------------------------------------------------------------------------------------
+# If the LoadFile doesn't exist, the system give a message and create a new Atlas from scratch
+#System.LoadAtlasFromFile: "saved_map"
+#
+# The store file is created from the current session, if a file with the same name exists it is deleted
+#System.SaveAtlasToFile: "saved_map"

Room-scale/take-000000/raw/mocap_raw/Take 2026-06-23 08.13.57 PM.csv

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+oid sha256:cd5cc5061e8f9d6bfb390ea225921816f2607b24cdd717a197c80de64c3e9c75
+size 53473840

Room-scale/take-000000/raw/mocap_raw/Take 2026-06-23 08.13.57 PM_Yukang.bvh

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+version https://git-lfs.github.com/spec/v1
+oid sha256:42b30b31682d2030cdefac84cd90c9b6b5edc8c14c410568e334774cfce15cb3
+size 13395883

Room-scale/take-000000/raw/mocap_raw/motive_time_analysis.json

@@ -0,0 +1,24 @@
+{
+  "num_frames": 6208,
+  "duration_s": 108.872,
+  "frame_rate_hz": 57.021,
+  "clock_drift_ppm": 184.1936,
+  "server_tick_rate_hz": 9503450.7,
+  "orin_mono_minus_motive_timestamp_s": {
+    "mean": 480.124995276,
+    "std": 0.103921907,
+    "min": 480.119536378,
+    "max": 485.531032397,
+    "median": 480.121879795,
+    "note": "Orin CLOCK_MONOTONIC arrival time minus Motive session timestamp (s since capture start). Not a wall-clock difference."
+  },
+  "wall_clock_offset_s": {
+    "mean": 0.620474,
+    "std": 0.103915,
+    "min": 0.615219,
+    "max": 6.026321,
+    "median": 0.617282,
+    "note": "Orin Unix time (arrival) minus Motive Unix time (transmit, via QPC). min \u2248 lower bound on one-way network latency + NTP error."
+  },
+  "wall_clock_drift_ppm": 177.1523
+}

Room-scale/take-000000/timeline/annotation.json

@@ -0,0 +1,38 @@
+{
+  "status": "annotation_only",
+  "episode_id": "2026-06-23-20-12-57__HOI__fill_water__35.203-93.038s",
+  "dataset_id": "2026-06",
+  "dataset_root": "D:\\ace-sync-data\\2026-06",
+  "preprocess_root": "D:\\ace-sync-data\\2026-06\\2026-06-23-20-12-57\\preprocess",
+  "source_session": "2026-06-23-20-12-57",
+  "source_session_display": "2026-06-23-20-12-57",
+  "track_type": "HOI",
+  "category": "fill_water",
+  "difficulty": "medium",
+  "video_keep_interval_s": {
+    "start": 35.203,
+    "end": 93.038
+  },
+  "time_alignment": {
+    "start_optitrack_time_s": 8.049752,
+    "max_video_origin_delta_s": 0.0,
+    "note": "UI video time is relative to exported videos; CSV crops use start_optitrack_time_s + UI time.",
+    "master_keep_interval_optitrack_s": {
+      "start": 43.252752,
+      "end": 101.087752
+    }
+  },
+  "included_video_count": 10,
+  "excluded_video_sources": [
+    "homie_back_left",
+    "homie_back_right"
+  ],
+  "sampling": {
+    "image_interval_s": 1.0
+  },
+  "sliding_window": {
+    "window_s": 2.7,
+    "stride_s": 2.7
+  },
+  "created_at_unix": 1783350557.7511308
+}

Room-scale/take-000000/timeline/homie_time_offset.json

@@ -0,0 +1,5 @@
+{
+  "applied": false,
+  "reason": "only 0 board frames (< 15); not enough to trust the offset",
+  "n_board_frames": 0
+}

Room-scale/take-000000/timeline/videos/homie_front_left.mp4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4a42d592d426302d73471f51a081e9b8ed5d7d04121a5fe817e86694fcc8cbd6
+size 39283494