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Application, designed as a development kit for object recognition systems, based on the learning from video and still pictures.
User interface for processing the video and still picture stream, and simple user control of the recognition process.
Ability to segment images with user-controlled macroscopic elements, and to work with windows of variable sizes.
(roughly) automated face detection and eye tracking, so you can identify the person speaking.
CREATOR:
The creation of the application is a very time-consuming and complex process.
This is due to the advanced level of the code and the advanced programming language used (Objective C).
All the programming, object recognition and image processing routines are in one C++ Object Oriented language.

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@es-derailleur, I have had the same problem, the photos have a delay of some seconds on the media. This never happens with my Android. The program just manages to make perfect the picture after about 30s. With Android it’s much more efficient, within a minute the picture is completed.

We want to be able to create a list of all possible audio strings that can be mapped to a given array of characters, not just finding the word if it exists in the list.

Example

You have a string of characters in the form of:

%1

And want to create an array of available string mappings such as:

A0 B1 C2 D3 E4 F5

In this case A0 B1 C2 D3 E4 F5 are the strings and they can be mapped to whatever letter of the alphabet is available.

This is a complex problem, and what is needed is a way to create a list of all possible string maps that can be created from a given set of characters, and then find the best mapping to the original string.

I have tried using a set of code which I hope will be useful to anyone that needs to do something similar, however the problem I am trying to solve is much more complex than what the standard matching algorithms like Aho-Corasick can handle.

Working Example

Say the user enters the following as the input (I have just shown A0 B1 C2 D3 E4 F5 for the example):

%1

We want to create a list 384a16bd22

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/usr/bin/python3.6

def demo():
a = arma(‘ndarray’,dims=[[3],[3],[2]])
print(type(a))

if __name__ == “__main__”:
demo()

armadillo
Example code
import arma as ar
a = ar.randn(2, 3, 2)
a.show()

armaNpy
Example code
import armaNpy as an
a = an.genMatrix(2, 3, 2)
a.show()

Input code
import arma as ar
import numpy as np
a = ar.randn(2, 3, 2)
np.array_equal(a, np.zeros((2, 3, 2)))

Output code
from numpy.testing import assert_array_equal
import armaNpy as an
import numpy as np

def assert_array_equal(a, b, *args):
return assert_array_equal(a.arr, b.arr, *args)

def demo():
a = ar.randn(2, 3, 2)
a.show()

if __name__ == “__main__”:
demo()

Input code
a = ar.randn(2, 3, 2)
a.show()

Output code
from numpy.testing import assert_array_equal
import armaNpy as an
import numpy as np

def assert_array_equal(a, b, *args):
return assert_array_equal(a.arr, b.arr, *args)

def demo():
a = an.genMatrix(2, 3, 2)
a.show()

if __name__ == “__main__”:
demo()

Input code
import arma as ar
a = ar.randn(2, 3, 2)
a.show()

Output code
from numpy.testing import assert_array_equal
import armaNpy as an
import numpy as np

def assert_array_equal(a, b, *

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