AI from Concrete do Abstract
(AIcon2abs)
Demystifying Artificial Intelligence
to the General Public |
BlockWiSARD source code and
installation instructions (Version Beta 2.00 -
Ubuntu/Raspbian) |
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Tested on Ubuntu 16.04
(Python 3.5.2) / Ubuntu 18.04 (Python 3.6.9) /
Raspbian 4.19.46-V7 (Python 3.5.3) Raspberry `Pi 3 Model B+ |
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Python 3.x packages installation
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These python packages are not required to
open the BlockWiSARD block-based programming environment.
But, their installation is mandatory to run the
programs developed with BlockWiSARD blocks. |
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1 |
sudo apt install
python3-pip |
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sudo pip3 install
opencv-python |
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sudo pip3 install
wisardpkg |
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sudo apt install
espeak |
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sudo apt-get install
idle3 |
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sudo pip3 install
pyserial |
7 |
sudo pip3 install
pygame (pre-nstalled
in Raspbian) |
8 |
sudo apt-get install
lxterminal (pre-nstalled
in Raspbian) |
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BlockWiSARD source
code download |
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Click
here do
download the source code |
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You must download the file and
unzip it on your computer. |
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To open the
BlockWiSARD environment, you must run the start.py
file.To do so, you must configure
the file to "run" when double-clicked or execute it via terminal
with the python3 start.py
command (in the directory where the file is located). |
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Obs. |
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- To change the interface
language, use the radio buttons at the bottom of
the main window.
- For training and classification,
you must use a single dark black image drawn on white paper.
- If you have more than one
webcam installed on your computer, you may need to configure the camera's index in
the BlockWiSARD\ BlockWiSARD_setup.js configuration file.
The index value is usually 0 or 1.
- The BlockWiSARD programming
environment can work in 3 different configurations:
Computer only (No GPIO), Raspberry Pi GPIO, and Computer +
Arduino GPIO. The configuration selection can be made in the
settings option present in the main window upper left corner
menu.
- To use BlockWiSARD with an
Arduino board connected to your computer, you must
first load the Sketch present in the
Duino-BlockWiSARD-Server folder on your
Arduino board.
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