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Dobot ZED camera recordings — 2026-10-04
Original RGB videos, depth visualization videos, metric depth arrays, camera metadata, and per-frame timestamps recorded with a fixed ZED camera in a Dobot workspace. Original recording directory names and file contents are retained.
Total: 36,761 source files, 306.54 GB, 121 clips, 36,277 paired frames.
| Session | Clips | Frames | Source GB |
|---|---|---|---|
| camera_recordings_20261004_160547_740383 | 0 | 0 | 0.00 |
| camera_recordings_20261004_162209_005978 | 21 | 6388 | 54.00 |
| camera_recordings_20261004_164938_536806 | 22 | 7203 | 60.80 |
| camera_recordings_20261004_171142_741182 | 8 | 2746 | 23.17 |
| camera_recordings_20261004_171726_695324 | 23 | 6897 | 58.27 |
| camera_recordings_20261004_173652_350486 | 24 | 6557 | 55.47 |
| camera_recordings_20261004_174944_683475 | 23 | 6486 | 54.82 |
Each clip contains rgb.mp4, depth.mp4, depth/000000.npy, timestamps.csv,
and metadata.json. Depth arrays are float32 in meters, spatially aligned to the
rectified left RGB image. NaN, infinity and nonpositive values represent invalid depth.
The colored depth video is for visualization; use the NPY arrays for measurements.
Videos use constant FPS; CSV timestamps record actual acquisition times.
The snapshot includes one clip marked failed because the recording writer could
not keep up. Its 330 saved frames are retained; check each clip's metadata.json
before selecting data. The initial empty session is represented by .gitkeep.
recordings_manifest.json inventories all source paths, byte sizes, clip statuses,
and frame counts. It does not contain credentials.
import numpy as np
depth_m = np.load("camera_recordings_SESSION/CLIP/depth/000000.npy")
valid = np.isfinite(depth_m) & (depth_m > 0)
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