jmhdez

// Require instalar el paquete numl desde NuGet

using System;
using numl;
using numl.Model;
using numl.Supervised.DecisionTree;

namespace MachineLearning
{
	public enum HairColor

marcominerva

FROM python:3.5

ADD app /app

RUN pip install --upgrade pip
RUN pip install https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.5.0/tensorflow-1.5.0-cp35-none-linux_armv7l.whl
RUN pip install -r /app/requirements.txt

# Expose the port
EXPOSE 80

noellelacharite

Getting Started with Azure Computer Vision and Object Detection

Recently, I wanted to play around with Azure Computer Vision. More specifically I wanted to play with object detection. I had a conference coming up in Orlando and I thought it would be cool to have a local reference in one of my demos.

So I looked up computer vision and found out that I could play with the cognitive service right within the browser. You can check that out here. After seeing the metadata available from computer vision, I realized that I needed to custom train this model if I wanted it to be able to answer my burning question.

How can I tell the difference between Chip and Dale?

elbruno

#    Copyright (c) 2022
#    Author      : Bruno Capuano
#    Create Time : 2022 June
#    Change Log  :
#    - Open the camera feed
#    - Convert the camera feed to Grayscale
#    - Resalt a specific colors >> RED and BLUE
#
#    The MIT License (MIT)
#

elbruno

//    Copyright (c) 2022
//    Author      : Bruno Capuano
//    Create Time : 2022 July
//    Change Log  :
//
//    The MIT License (MIT)
//
//    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

elbruno

//    Copyright (c) 2022
//    Author      : Bruno Capuano
//    Create Time : 2022 July
//    Change Log  :
//
//    The MIT License (MIT)
//
//    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

elbruno

#    Copyright (c) 2022
#    Author      : Bruno Capuano
#    Create Time : 2022 July
#    Change Log  :
#    - Open the camera feed from a RTSP address
#
#    The MIT License (MIT)
#
#    Permission is hereby granted, free of charge, to any person obtaining a copy
#    of this software and associated documentation files (the "Software"), to deal

elbruno

/*
   Copyright (c) 2023
   Author      : Bruno Capuano
   Create Time : 2023 January
   Change Log  :
   - Demos working with threads in Rust
   
   The MIT License (MIT)
   Permission is hereby granted, free of charge, to any person obtaining a copy
   of this software and associated documentation files (the "Software"), to deal

elbruno

/*
   Copyright (c) 2023
   Author      : Bruno Capuano
   Create Time : 2023 January
   Change Log  :
   - Demos working with threads in Rust
   
   The MIT License (MIT)
   Permission is hereby granted, free of charge, to any person obtaining a copy
   of this software and associated documentation files (the "Software"), to deal

elbruno

/*
   Copyright (c) 2023
   Author      : Bruno Capuano
   Create Time : 2023 January
   Change Log  :
   - Demos working with generics in Rust
   
   The MIT License (MIT)
   Permission is hereby granted, free of charge, to any person obtaining a copy
   of this software and associated documentation files (the "Software"), to deal