| Summary: |
Rock-paper-scissors demo based on RefKit computer vision profile |
| Product: |
[Yocto Project Subprojects] IoT Reference OS Kit
|
Reporter: |
Ismo Puustinen <ismo.puustinen> |
| Component: |
intel-iot-refkit-profile-computer-vision | Assignee: |
Christian da Costa <christian.da.costa> |
| Status: |
RESOLVED
FIXED
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QA Contact: |
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| Severity: |
enhancement
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|
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| Priority: |
Low
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CC: |
brian.avery, henry.bruce, matti-pekka.sivosuo
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| Version: |
2.4 | |
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| Target Milestone: |
2.4 M4 | |
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| Hardware: |
x86 | |
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| OS: |
x86_64 | |
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| Whiteboard: |
|
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OS type for building Yocto:
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---
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Type of Regression:
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---
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Verified:
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Documentation change:
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Yes (doc changes required)
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Implement an interactive, graphics-based demo for a simple rock-paper-scissors demo. Use a camera (RealSense camera or a normal web camera) to detect the hand sign {rock, paper, scissors} that the user does. Match that against a random play made by the computer. Indicate on the screen how the platform has identified the hand sign (for example using a bounding box).