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\nMediaPipe Hands + OpenAI Gym\n

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\n\nPublisher:\n\nAPMonitor\n\n\n
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\nMediaPipe Hands is used to control a cart force to balance a pole from the OpenAI Gym. A second example shows how to control the blink rate and brightness of an LED. MediaPipe detects the shape and motion of hands. Hand gestures can be...\nMediaPipe Hands is used to control a cart force to balance a pole from the OpenAI Gym. A second example shows how to control the blink rate and brightness of an LED. MediaPipe detects the shape and motion of hands. Hand gestures can be the basis for computer control of simulated or physical objects. The purpose of this exercise is to demonstrate the use of hand detection for control of a simulated cart pole and a physical LED.

0:00 MediaPipe
2:58 Hand Detection
4:10 Install Packages
4:55 OpenAI Gym
8:15 Manual Control
10:50 LED Control
11:56 Jupyter Notebook
16:22 TCLab
25:04 Review\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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26:53
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Grade
10th - Higher Ed
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Subjects
STEM
3 more...
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Media Type
Instructional Videos
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Source:
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\nAPMonitor.com\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
2 more...
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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pull, time
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Additional Tags

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apmonitor, mediapipe, openai, gym, reinforcement learning, media pipe, machine learning, online demo, index finger, tc lab, jupyter notebook, frame rate, face detection, hand gestures, hand tracking, pip install, blink function, cart pull, file, face, pole, hand, install, cart, python, function, pendulum, moves, couple, amount, pause, fingertip
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Classroom Considerations

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Best For: Explaining a topic
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: MediaPipe Hands + OpenAI Gym\" href=\"/subscription/new\">\"MediaPipe\n\n
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