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  path: data/train-*
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  ---
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- # CV Project
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/train-*
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  ---
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+ # Omni CV Project Dataset
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+ The **Omni CV Project** is a compact robotics dataset combining:
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+
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+ - [x] Raw ROS 2 MCAP bag (stereo, depth, TF, odom)
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+ - [x] Ground-truth mesh (STL)
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+ - [x] Distilled synchronized dataset (100 samples)
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+
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+ This dataset is suitable for:
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+
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+ - Depth networks
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+ - VO / SLAM benchmarking
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+ - 3D reconstruction
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+ - Neural radiance fields (NeRF)
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+ - Robotics perception research
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+ - Sensor fusion and pose estimation
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+
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+ ---
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+
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+ # Contents
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+
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+ ## 1. **Raw Data (`raw/`)**
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+ Contains the original ROS 2 MCAP recording:
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+
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+ - `/zed/zedxm/left/color/rect/image`
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+ - `/zed/zedxm/right/color/rect/image`
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+ - `/zed/zedxm/depth/depth_registered`
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+ - `/zed/zedxm/odom`
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+ - `/tf`, `/tf_static`
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+ - Associated `CameraInfo`
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+
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+ This folder is meant for researchers who want full-resolution, full-rate data.
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+
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+ ## 2. **Meshes (`meshes/`)**
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+ Includes:
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+ - `omni_mesh.stl` — ground-truth geometry for SDF + reconstruction metrics.
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+ ## 3. **HF Samples (`hf_samples/`)**
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+ A distilled dataset of 100 synchronized samples created using
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+ `message_filters.ApproximateTimeSynchronizer`.
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+ Each sample contains:
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+ - Left stereo image
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+ - Right stereo image
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+ - Depth map (uint16, mm)
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+ - `metadata` JSON containing:
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+ - timestamp
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+ - position `[x,y,z]`
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+ - orientation quaternion `[qx,qy,qz,qw]`