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content/hardware/04.pro/shields/portenta-vision-shield/tutorials/user-manual/content.md

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@@ -472,7 +472,7 @@ while True:
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img = sensor.snapshot()
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# detect() returns all objects found in the image (splitted out per class already)
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# detect() returns all objects found in the image (split out per class already)
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# we skip class index 0, as that is the background, and then draw circles of the center
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# of our objects
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print(clock.fps(), "fps", end="\n")
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```
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![Face tracking example running](assets/face.gif)
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You can load different Machine Learning models for detecting other objects, for example, persons.
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### Microphone
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The Portenta Vision Shield features two microphones, based on the MP34DT05 ultra-compact, low-power, omnidirectional, digital MEMS microphone.
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### Ethernet (ASX00021)
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### LoRa® (ASX00026)

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