Difference between revisions of "Shared:2023W4G1CV"
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| − | [[Shared:2023W4G1Design|''' | + | <div style="font-style: italic; text-align: left; font-size:3.5vw; color:#000000;"> '''MARS HABITAT'''</div> |
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| + | '''Prototype water research station for the human endeavour of discovering water on Mars.''' | ||
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| + | '''Group 1''' Arno Decorte - Tom Punte - Augusta Fiseryte''' | ||
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| + | <div style="float:left; width: 90px; height 0px; border: 0px solid #aaa; color:#AA4925; margin-right:10px;" align="center"> | ||
| + | [[Shared:2023W4G1Design|'''DESIGN''']] | ||
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| − | [[Shared: | + | [[Shared:2023W4G1Presentations|'''PRESENTATIONS''']] |
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| + | [[Shared:2023W4G1Prototyping|'''PROTOTYPING''']] | ||
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[[Shared:2023W4G1CV|'''CV''']] | [[Shared:2023W4G1CV|'''CV''']] | ||
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[[Shared:2023W4G1HRI|'''HRI''']] | [[Shared:2023W4G1HRI|'''HRI''']] | ||
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| − | + | [[Shared:2023W4G1Report|'''REPORT''']] | |
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| + | ---- | ||
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| + | The Jupyter notebook below contains a Computer Vision script designed to assist a robotic hand in identifying components, locating the appropriate grabbing spots, and separating them from the background. This code uses a combination of Python libraries, including OpenCV and Shapely, to achieve its objectives. The code is designed to be versatile and can be used with any image, making it a valuable tool for anyone working with robotic components. | ||
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| + | Whether you're a researcher or a hobbyist, this script is an excellent resource for automating the process of component identification and removal. Give it a try with your own fragments and see what you can accomplish! | ||
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| + | </div> | ||
| + | <div style="width: 100%; height: 100vh;"> | ||
| + | <iframe src="https://nbviewer.org/github/arnodecorte/IA-Computer-Vision/blob/main/Group1_CV%20%281%29.ipynb" style="width: 100%; height: 100%;"></iframe> | ||
</div> | </div> | ||
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| + | [[File:CODEGIF.gif]] | ||
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Latest revision as of 11:46, 21 April 2023
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MARS HABITAT
Prototype water research station for the human endeavour of discovering water on Mars.
Group 1 Arno Decorte - Tom Punte - Augusta Fiseryte
CV
The Jupyter notebook below contains a Computer Vision script designed to assist a robotic hand in identifying components, locating the appropriate grabbing spots, and separating them from the background. This code uses a combination of Python libraries, including OpenCV and Shapely, to achieve its objectives. The code is designed to be versatile and can be used with any image, making it a valuable tool for anyone working with robotic components.
Whether you're a researcher or a hobbyist, this script is an excellent resource for automating the process of component identification and removal. Give it a try with your own fragments and see what you can accomplish!
[[File:CODEGIF.gif]]
