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https://github.com/kentaroy47/apple-lidar-stream
Stream Apple LiDAR (iPad/iPhone) data with open3d
https://github.com/kentaroy47/apple-lidar-stream
ipad iphone lidar open3d python
Last synced: about 14 hours ago
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Stream Apple LiDAR (iPad/iPhone) data with open3d
- Host: GitHub
- URL: https://github.com/kentaroy47/apple-lidar-stream
- Owner: kentaroy47
- License: mit
- Created: 2021-06-04T00:12:52.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-13T04:27:38.000Z (about 1 month ago)
- Last Synced: 2024-12-13T05:21:00.703Z (about 1 month ago)
- Topics: ipad, iphone, lidar, open3d, python
- Language: Python
- Homepage:
- Size: 6.75 MB
- Stars: 85
- Watchers: 2
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
https://user-images.githubusercontent.com/39611941/120728405-ced64280-c517-11eb-909e-5659ff284885.mp4
# ipad-lidar-stream
Stream Apple lidar data (e.g. iPad Pro) with open3d.
Please leave a star if this helps you!
Uses [record3d](https://github.com/marek-simonik/record3d) to stream lidar data, and visualizes point clouds by open3d.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/apple-lidar-stream.git
cd apple-lidar-stream
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Install the Record3D app on your Apple device from the App Store
## Usage
1. Connect your Apple device to the computer with a USB cable
2. Launch the Record3D app on your device
3. Run the streaming script:
```bash
python ipad_stream.py
```
### Keyboard Controls
The application supports the following keyboard shortcuts:
* `F`: Toggle point cloud filtering
* `R`: Start/stop recording
* `S`: Save current frame
* `E`: End recording and save combined point cloud
### Processing Options
You can customize point cloud processing by modifying these parameters in the code:
**Statistical outlier removal:**
* `nb_neighbors`: Number of neighboring points to consider (default: 20)
* `std_ratio`: Standard deviation ratio (default: 2.0)
**Voxel downsampling:**
* `voxel_size`: Size of voxel for downsampling (default: 0.01)
**Normal estimation:**
* `radius`: Search radius (default: 0.1)
* `max_nn`: Maximum nearest neighbors (default: 30)
## Output Formats
* Individual frames: Saved as PLY files
* Recordings: Combined point clouds saved as PLY files
* All exports include:
* 3D point coordinates
* RGB colors
* Normal vectors (when enabled)
## Devices
~~Since I have only iPad Pro, I cannot test this on iPhone 12Pro or 13Pro.~~
Thanks to [#2](https://github.com/kentaroy47/apple-lidar-stream/pull/2), it works on iPhone LiDARs too.