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update README.md
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README.md
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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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- [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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This dataset is suitable for:
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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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# Contents
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## 1. **Raw Data (`raw/`)**
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Contains the original ROS 2 MCAP recording:
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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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This folder is meant for researchers who want full-resolution, full-rate data.
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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]`
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