UBISS2024 - Revision history

Skwhadmin: /* Task 7: Deploy Machine Learning Models */

2024-09-05T10:35:16Z

Task 7: Deploy Machine Learning Models

← Older revision		Revision as of 12:35, 5 September 2024
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	</syntaxhighlight>		</syntaxhighlight>

	Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. There are other approaches to code generation such as m2cgen https://github.com/BayesWitnesses/m2cgen/tree/master Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using		Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. There are other approaches to code generation such as m2cgen https://github.com/BayesWitnesses/m2cgen/tree/master or emlearn https://github.com/emlearn/emlearn

			Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using
	<syntaxhighlight lang="python">		<syntaxhighlight lang="python">
	clf.to_micropython_file("MyModel.py")		clf.to_micropython_file("MyModel.py")

Skwhadmin: /* Task 7: Deploy Machine Learning Models */

2024-09-05T10:33:13Z

Task 7: Deploy Machine Learning Models

← Older revision		Revision as of 12:33, 5 September 2024
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	</syntaxhighlight>		</syntaxhighlight>

	Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. There are other approaches to code generation such as ~~m2gen~~ https://github.com/BayesWitnesses/m2cgen/tree/master Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using		Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. There are other approaches to code generation such as m2cgen https://github.com/BayesWitnesses/m2cgen/tree/master Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using
	<syntaxhighlight lang="python">		<syntaxhighlight lang="python">
	clf.to_micropython_file("MyModel.py")		clf.to_micropython_file("MyModel.py")

Skwhadmin: /* Task 7: Deploy Machine Learning Models */

2024-09-05T10:30:49Z

Task 7: Deploy Machine Learning Models

← Older revision		Revision as of 12:30, 5 September 2024
Line 252:		Line 252:
	</syntaxhighlight>		</syntaxhighlight>

	Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using		Using everywhereml we can train a model on a more powerful machine for deployment on a microcontroller. See https://eloquentarduino.com/posts/micropython-machine-learning for example for such a training process. There are other approaches to code generation such as m2gen https://github.com/BayesWitnesses/m2cgen/tree/master Assuming that our ML model is trained and stored in variable clf then we can save the model to a file using
	<syntaxhighlight lang="python">		<syntaxhighlight lang="python">
	clf.to_micropython_file("MyModel.py")		clf.to_micropython_file("MyModel.py")

Mayersven: /* Hand Gesture Recognition Project */

2024-06-17T22:30:04Z

Hand Gesture Recognition Project

← Older revision		Revision as of 00:30, 18 June 2024
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	The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi.		The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi.

	== Hand Gesture Recognition ~~Project~~ ==		== Hand Gesture Recognition ==
	Find the code and documentation at [https://github.com/mamadzebal/Morse-Code-Detector GitHub]. The project was ~~done~~ by Mohammed Farhoudi, and Samira Kamali Poorazad.		Find the code and documentation at [https://github.com/mamadzebal/Morse-Code-Detector GitHub]. The project was completed by Mohammed Farhoudi and Samira Kamali Poorazad.

	= Schedule =		= Schedule =

Mayersven at 22:29, 17 June 2024

2024-06-17T22:29:48Z

← Older revision		Revision as of 00:29, 18 June 2024
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	== IntelliPen ==		== IntelliPen ==
	The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi.		The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi.

			== Hand Gesture Recognition Project ==
			Find the code and documentation at [https://github.com/mamadzebal/Morse-Code-Detector GitHub]. The project was done by Mohammed Farhoudi, and Samira Kamali Poorazad.

	= Schedule =		= Schedule =

Mayersven: /* Final Projects */

2024-06-15T14:15:23Z

Final Projects

← Older revision		Revision as of 16:15, 15 June 2024
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	== StressLess Shell ==		== StressLess Shell ==
	See the teaser video on [https://www.youtube.com/watch?v=NBSCIGqiXqM YouTube] by Songyan Teng, Jingyao Zheng, and Tim Zindulka		See the teaser video on [https://www.youtube.com/watch?v=NBSCIGqiXqM YouTube] by Songyan Teng, Jingyao Zheng, and Tim Zindulka.

	== Plant Monitoring and Warning System ==		== Plant Monitoring and Warning System ==
	See the teaser video on [https://www.youtube.com/watch?v=DxjguBbUobk YouTube] by Shenxiu Wu, and Huong Nguyen		See the teaser video on [https://www.youtube.com/watch?v=DxjguBbUobk YouTube] by Shenxiu Wu, and Huong Nguyen.

	== IntelliPen ==		== IntelliPen ==
	The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi		The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi.

	= Schedule =		= Schedule =

Mayersven: /* Final Projects */

2024-06-15T14:14:45Z

Final Projects

← Older revision		Revision as of 16:14, 15 June 2024
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	== StressLess Shell ==		== StressLess Shell ==
	~~The~~ the teaser video on [https://www.youtube.com/watch?v=NBSCIGqiXqM YouTube] by Songyan Teng, Jingyao Zheng, Tim Zindulka		See the teaser video on [https://www.youtube.com/watch?v=NBSCIGqiXqM YouTube] by Songyan Teng, Jingyao Zheng, and Tim Zindulka

			== Plant Monitoring and Warning System ==
			See the teaser video on [https://www.youtube.com/watch?v=DxjguBbUobk YouTube] by Shenxiu Wu, and Huong Nguyen

			== IntelliPen ==
			The pen that can recognize the characters that you write! See the teaser video on [https://www.youtube.com/watch?v=WdLBq__ORBQ YouTube] by Mohammed Khalili, and Ali Mahmoudi

	= Schedule =		= Schedule =

Mayersven at 13:06, 15 June 2024

2024-06-15T13:06:32Z

← Older revision		Revision as of 15:06, 15 June 2024
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	This course is designed as a week-long tutorial to engage with ubiquitous devices in the domain of smart environments and how to use machine learning to build smart devices. Here, we use an [[Arduino_Nano_RP2040_Connect\|Arduino Nano RP2040 Connect]].		This course is designed as a week-long tutorial to engage with ubiquitous devices in the domain of smart environments and how to use machine learning to build smart devices. Here, we use an [[Arduino_Nano_RP2040_Connect\|Arduino Nano RP2040 Connect]].

			= Final Projects =

			== StressLess Shell ==
			The the teaser video on [https://www.youtube.com/watch?v=NBSCIGqiXqM YouTube] by Songyan Teng, Jingyao Zheng, Tim Zindulka


	= Schedule =		= Schedule =

Skwhadmin: /* Solution Task 1.4 Combine Light-Dependent Resistor (LDR) with Blinking LED */

2024-06-14T11:05:36Z

Solution Task 1.4 Combine Light-Dependent Resistor (LDR) with Blinking LED

← Older revision		Revision as of 13:05, 14 June 2024
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	from machine import Pin, ADC		from machine import Pin, ADC
	import time		import time
	~~from time import sleep~~

	led = Pin(6, Pin.OUT)		led = Pin(6, Pin.OUT)

Skwhadmin: /* Solution Task 1.4 Combine Light-Dependent Resistor (LDR) with Blinking LED */

2024-06-14T11:03:44Z

Solution Task 1.4 Combine Light-Dependent Resistor (LDR) with Blinking LED

← Older revision		Revision as of 13:03, 14 June 2024
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	led = Pin(6, Pin.OUT)		led = Pin(6, Pin.OUT)
			analogPin = ADC(Pin(26))

	while (True):		while (True):
	~~analogPin = ADC(Pin(26))~~
	analogVal16 = analogPin.read_u16()		analogVal16 = analogPin.read_u16()
	print(analogVal16)		print(analogVal16)