luckyrobots/open_phantom
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update readme to switch mention of ml-depth-pro to MiDaS

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Ethan Clark 2025-03-24 15:17:14 -07:00
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commit 797527db9b
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README.md
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@ -8,7 +8,7 @@ Open Phantom is a fully open-source implementation of the approach described in
* **Camera-Only Data Collection** : Capture hand movements using any standard RGB camera
* **3D Hand Tracking** : Convert 2D video to 3D hand poses using MediaPipe landmarks
* **Advanced Depth Estimation** : Generate depth maps from monocular RGB input using ml-depth-pro
* **Advanced Depth Estimation** : Generate depth maps from monocular RGB input using MiDaS
* **Hand Segmentation** : Precisely isolate hand regions with Meta's SAM2 for better depth estimation
* **ICP Registration** : Align hand mesh with depth point cloud for improved 3D accuracy
* **Anatomical Constraints** : Apply natural hand constraints to ensure realistic movements
@ -22,8 +22,8 @@ Open Phantom is a fully open-source implementation of the approach described in
Known limitations:
* ICP registration still being optimized for better alignment
* Depth estimation with ml-depth-pro is not implemented yet
* In-painting human hand
* Overlaying robot arm
* Performance optimizations needed for real-time processing
## Background
@ -60,11 +60,6 @@ cd external/sam2
pip install -e .
cd ../..
# Install dependencies for ML-Depth-Pro
cd external/ml-depth-pro
pip install -e .
cd ../..
# Verify installation
python -c "import mediapipe; import open3d; print('Dependencies successfully installed!')"
```
@ -152,7 +147,6 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
* This project is based on the research presented in "Phantom: Training Robots Without Robots Using Only Human Videos"
* We use Meta's SAM2 (Segment Anything Model 2) for hand segmentation
* ML-Depth-Pro from Apple provides advanced depth estimation
## Disclaimer