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Add Real4D metadata: docs/DATA_FORMAT.md

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+ # Real4D data format
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+
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+ ## Paths
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+
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+ The first path component identifies the source subset (`dynerf` for N3DV or
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+ `meetroom`), followed by a scene. Within each scene, modalities are grouped so
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+ that large subsets can be downloaded independently.
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+
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+ For trajectory `cam00_01` and zero-based frame index `i`, use file number
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+ `i + 1`:
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+
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+ ```text
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+ images/cam00_01/cam00_01_000001.jpg
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+ depths/cam00_01/cam00_01_000001.jpg.geometric.png
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+ depth_vis/cam00_01/cam00_01_000001.jpg
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+ camera_params/cam00_01.json # entry 0
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+ ```
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+
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+ ## RGB
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+
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+ RGB frames are 8-bit three-channel JPEG files. N3DV-derived frames have size
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+ 1352 x 1014; MeetRoom-derived frames have size 1280 x 720.
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+
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+ ## Depth
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+
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+ Depth files are single-channel 16-bit PNG images. A stored value `d` represents
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+ `d / 1000` meters. Value zero is the invalid mask and indicates negligible
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+ accumulated opacity. These values are rendered pseudo-labels derived from the
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+ reconstructed dynamic scene, not measurements from a depth sensor.
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+
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+ ```python
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+ from PIL import Image
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+ import numpy as np
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+
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+ depth_mm = np.asarray(Image.open(depth_path), dtype=np.uint16)
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+ valid = depth_mm > 0
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+ depth_m = depth_mm.astype(np.float32) / 1000.0
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+ ```
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+
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+ `depth_vis` is only a colorized preview and must not be used as numeric depth.
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+
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+ ## Camera manifest
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+
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+ Each `<trajectory>.json` is a list of 300 dictionaries in temporal order. The
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+ main fields are:
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+
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+ | Field | Meaning |
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+ |---|---|
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+ | `timestamp` | Scene time in seconds. |
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+ | `w2c` | 4 x 4 world-to-camera homogeneous transform. |
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+ | `R` | 3 x 3 rotation component used by the renderer. |
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+ | `T` | 3-vector translation component used by the renderer. |
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+ | `fl_x`, `fl_y` | Focal lengths in pixels. |
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+ | `cx`, `cy` | Principal point in pixels. |
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+ | `FoVx`, `FoVy` | Horizontal and vertical field of view in radians. |
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+ | `width`, `height` | Image dimensions in pixels. |
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+ | `image_name` | Source reference-camera identifier; not an output filename. |
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+
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+ The camera matrix is analytically prescribed along the interpolation path. It
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+ is exact with respect to that virtual trajectory; it is not an SfM/SLAM
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+ estimate. Load the JSON record at list index `i` together with file number
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+ `i + 1`.
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+
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+ ## Trajectories
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+
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+ `cam{a}_{b}` denotes the ordered interpolation from reference camera `a` to
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+ reference camera `b`. Because the pair is ordered, `cam00_01` and `cam01_00`
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+ are distinct. `cam00_00` is a static-viewpoint temporal sequence. Every
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+ trajectory contains 300 frames spanning the scene's 10-second temporal extent.
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+
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+ ## Preview videos
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+
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+ `video/<trajectory>_rgb.mp4` and `video/<trajectory>_depth.mp4` are provided for
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+ quick browsing at 30 fps. They are convenience derivatives; image sequences
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+ and camera JSON are the authoritative data.
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+