Alina Lozovskaya
commited on
Commit
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55ea540
1
Parent(s):
b08cbfb
Include reachy_mini_wireless into README
Browse files
README.md
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@@ -32,12 +32,13 @@ source .venv/bin/activate
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uv sync
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```
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To include optional
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```
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uv sync --extra
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uv sync --extra
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uv sync --extra
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uv sync --extra
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```
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You can combine extras or include dev dependencies:
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@@ -56,6 +57,9 @@ pip install -e .
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Install optional extras depending on the feature set you need:
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```bash
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# Vision stacks (choose at least one if you plan to run face tracking)
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pip install -e .[local_vision]
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pip install -e .[yolo_vision]
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@@ -72,6 +76,7 @@ Some wheels (e.g. PyTorch) are large and require compatible CUDA or CPU builds
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| Extra | Purpose | Notes |
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|-------|---------|-------|
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| `local_vision` | Run the local VLM (SmolVLM2) through PyTorch/Transformers. | GPU recommended; ensure compatible PyTorch builds for your platform.
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| `yolo_vision` | YOLOv8 tracking via `ultralytics` and `supervision`. | CPU friendly; supports the `--head-tracker yolo` option.
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| `mediapipe_vision` | Lightweight landmark tracking with MediaPipe. | Works on CPU; enables `--head-tracker mediapipe`.
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uv sync
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```
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To include optional dependencies:
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```
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uv sync --extra reachy_mini_wireless # For wireless Reachy Mini with GStreamer support
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uv sync --extra local_vision # For local PyTorch/Transformers vision
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uv sync --extra yolo_vision # For YOLO-based vision
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uv sync --extra mediapipe_vision # For MediaPipe-based vision
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uv sync --extra all_vision # For all vision features
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```
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You can combine extras or include dev dependencies:
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Install optional extras depending on the feature set you need:
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```bash
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# Wireless Reachy Mini support
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pip install -e .[reachy_mini_wireless]
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# Vision stacks (choose at least one if you plan to run face tracking)
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pip install -e .[local_vision]
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pip install -e .[yolo_vision]
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| Extra | Purpose | Notes |
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|-------|---------|-------|
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| `reachy_mini_wireless` | Wireless Reachy Mini with GStreamer support. | Required for wireless versions of Reachy Mini, includes GStreamer dependencies.
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| `local_vision` | Run the local VLM (SmolVLM2) through PyTorch/Transformers. | GPU recommended; ensure compatible PyTorch builds for your platform.
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| `yolo_vision` | YOLOv8 tracking via `ultralytics` and `supervision`. | CPU friendly; supports the `--head-tracker yolo` option.
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| `mediapipe_vision` | Lightweight landmark tracking with MediaPipe. | Works on CPU; enables `--head-tracker mediapipe`.
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