i am wondering how to pause the serial input to stop the listener while robyn is explaining about his servos for example and then start the listener again https://github.com/MyRobotLab/pyrobotlab/blob/master/home/Markus/Skin.py
if (num == 1):
stop listener
servo()
start listener
Hi All,
This is the first time I have played with the Arduino Uno and things are not going well :-(
I create an Arduino object and copy the sketch to the Arduino IDE and try to compile it, but I get a warning about SOFT_RESET being redefined - Is this something to worry about?
If I download the compiled sketch and try to connect to my Arduino some times I get a "goodtimes" message other times I don't.
Simple example to change languages
Ok, there's a lot of stuff going on here, so I'll do my best to break it down and provide some background.
Open CV to Inmoov robot # a minimal tracking script - this will start all peer # services and attach everything appropriately # change parameters depending on your pan tilt, pins and # Arduino details # all commented code is not necessary but allows custom # options port = "COM3" #change COM port to your own port xServoPin = 22 #change this to the right servo pin if needed, for inmoov this is right yServoPin = 24 #change this to the right servo pin if needed, for inmoov this is right
There is a program to the rothead servo :
[[/home/erik/helloworld.py]]
https://github.com/MyRobotLab/pyrobotlab/tree/master/home/Mastablasta/a…
Here you find all the files. Put the aiml files into your aiml folder, setlist1-3 in your set folder and maplist1-3 into your map folder.
This is just a basic example, able to remember 4 subjects.
You can also use any input to be remembered, no need for set/map.
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.
References :
