Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
SMRTR summary
Build a live object detection app with TensorFlow's SSD MobileNet V2 in PyCharm, then deploy it on the Reachy Mini robot, adding head tracking, antenna reactions, and a live web dashboard.
SMRTR provides this summary for quick context. The original article belongs to PyCharm Blog.
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