Recognize numbers from an (28 x 28) image using neural networks

Related tags

Deep Learningnumber-recognizer
Overview

Number recognition

Recognize numbers from a 28 x 28 image using neural networks

Usage

This is an example of a simple usage of number-recognition

NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

  • PIL
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

LICENSE

The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
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Releases(1.0.5)

  • 1.0.5(Apr 7, 2022)

    Number recognition

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)

  • 1.0.4(Apr 7, 2022)

    Number recognition

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)

  • 1.0.3(Oct 29, 2021)

    Number recognition

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)

  • 1.0.2(Oct 29, 2021)

    Number recognition

    https://pypi.org/project/number-recognition/

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)

  • 1.0.1(Oct 29, 2021)

    Number recognition

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)

  • 1.0.0(Oct 29, 2021)

    Number recognition

    https://pypi.org/project/number-recognition/

    Recognize numbers from a 28 x 28 image using neural networks

    Usage

    This is an example of a simple usage of number-recognition

    NOTE: This number recognizer uses images with size 28 x 28 pixes, you can resize it by using an external library like:

    • PIL
    
from number_recognition import NumberRecognizer

n = NumberRecognizer()

n.init() # create a model
n.load() # load the model

num = n.recognize('path/to/image_28x28.png') # recognise the image
print(f"the number is {num}")

    LICENSE

    The MIT License (MIT)

Copyright (c) 2021 mauro-balades <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
    Source code(tar.gz)
    Source code(zip)
Owner
Mauro Baladés
👋 Hello! I ❤ open source, so you can see my lil projects.
Mauro Baladés
GitHub Repository https://pypi.org/project/number-recognition/
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