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Initial release: real-time object detection app for Reachy Mini
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<title>Reachy Mini Object Detector</title>
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<h1>Reachy Mini Object Detector</h1>
<p class="tagline">Real-time object detection with head tracking β€” your Reachy Mini sees and follows objects!</p>
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<span class="bbox">Person 95%</span>
<span class="bbox">Cup 87%</span>
<span class="bbox">Laptop 82%</span>
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<h2>Features</h2>
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<h3>Live Object Detection</h3>
<p>Uses SSD MobileNet V2 via TensorFlow Hub to detect objects in real-time at ~10 FPS on CPU. Draws bounding boxes and labels on the video stream.</p>
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<h3>Head Tracking</h3>
<p>The robot smoothly tracks the largest detected object, turning its head to follow it across the camera frame.</p>
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<h3>Antenna Reactions</h3>
<p>Antennas wiggle when a new type of object is spotted for the first time β€” a fun visual cue for discovery.</p>
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<h3>Web Dashboard</h3>
<p>Live annotated video feed with detection list, FPS counter, and a toggle to enable/disable head tracking.</p>
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<h3>How to Install</h3>
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<div class="step-number">1</div>
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<h4>From the Dashboard</h4>
<p>Open the Reachy Mini dashboard, go to Apps, and click Install on this app.</p>
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<div class="step-number">2</div>
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<h4>Or install manually</h4>
<p>pip install git+https://huggingface.co/spaces/backtoengineering/reachy_mini_object_detector</p>
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<h4>Run it</h4>
<p>Start the app from the dashboard or run it directly. The web UI is available at http://0.0.0.0:8042</p>
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πŸ‘οΈ Reachy Mini Object Detector &bull;
<a href="https://github.com/pollen-robotics" target="_blank">Pollen Robotics</a> &bull;
<a href="https://huggingface.co/spaces/pollen-robotics/reachy-mini-landing-page#apps" target="_blank">Browse More
Apps</a>
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