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Raspberry Pi Boot Camp

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Yılmaz Alaca

5:47:08

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  • 1 - Introduction.mp4
    01:28
  • 2 - Installation.mp4
    02:04
  • 3 - PyCharm.mp4
    04:54
  • 4 - Variables 1.mp4
    02:51
  • 5 - Variables 2.mp4
    03:40
  • 6 - Variables 3 Rules.mp4
    05:28
  • 7 - Operators 1.mp4
    05:03
  • 8 - Operators 2.mp4
    02:10
  • 9 - Operators3.mp4
    05:33
  • 10 - Standart Input and Output.mp4
    04:39
  • 11 - Lists.mp4
    03:48
  • 12 - Tuples.mp4
    02:30
  • 13 - Conditional Statements 1.mp4
    01:34
  • 14 - Conditional Statements 2.mp4
    04:43
  • 15 - Conditional Statements 3.mp4
    05:50
  • 16 - Loops 1.mp4
    04:44
  • 17 - Loops 2.mp4
    03:18
  • 18 - break.mp4
    03:00
  • 19 - Functions 1.mp4
    04:38
  • 20 - Functions 2.mp4
    04:24
  • 21 - Functions 3.mp4
    03:06
  • 22 - Modules 1.mp4
    03:22
  • 23 - Modules 2.mp4
    03:34
  • 24 - SD Card Formatting.mp4
    04:21
  • 24 - sd.zip
  • 25 - Installation of Operating System.mp4
    06:43
  • 26 - Set Up Operating System.mp4
    09:09
  • 27 - Connecting VNC Server.mp4
    08:07
  • 28 - Installation of VSCode.mp4
    08:24
  • 29 - BreadBoard 1.mp4
    03:32
  • 30 - BreadBoard 2.mp4
    04:24
  • 31 - GPIO Pins.mp4
    01:32
  • 31 - controlling-led.zip
  • 32 - Controlling LED.mp4
    08:32
  • 33 - Example 1.mp4
    08:49
  • 33 - example1.zip
  • 34 - Button.mp4
    07:42
  • 34 - test-button.zip
  • 35 - Example 2.mp4
    09:08
  • 35 - example2.zip
  • 36 - DC Motor.mp4
    12:06
  • 36 - motor-control.zip
  • 37 - Intro.mp4
    00:38
  • 38 - Digital Output.mp4
    11:12
  • 38 - gpio-intermediate-1.zip
  • 39 - Digital Input.mp4
    09:01
  • 40 - PWM.mp4
    12:04
  • 40 - gpio-intermediate-3.zip
  • 41 - Installation of OpenCV.mp4
    10:45
  • 41 - opencv-installation.zip
  • 42 - Reading and Showing Images.mp4
    09:17
  • 42 - image-processing-1.zip
  • 43 - Color Format.mp4
    08:07
  • 43 - image-processing-2.zip
  • 44 - Resizing.mp4
    05:06
  • 44 - image-processing-3.zip
  • 45 - Example 3.mp4
    08:03
  • 45 - image-processing-example-1.zip
  • 46 - Saving an Image.mp4
    04:40
  • 46 - image-processing-4.zip
  • 47 - Play a Video 1.mp4
    08:23
  • 47 - image-processing-5.zip
  • 48 - Play a Video 2.mp4
    06:11
  • 48 - image-processing-5.zip
  • 49 - Raspberry Pi Camera 1.mp4
    06:46
  • 50 - Raspberry Pi Camera 2.mp4
    09:00
  • 50 - image-processing-6.zip
  • 51 - Using RPI Camera as Webcam.mp4
    12:22
  • 51 - image-processing-7.zip
  • 52 - Basic Drawing Operations 1.mp4
    08:33
  • 52 - image-processing-8.zip
  • 53 - Basic Drawing Operations 2.mp4
    06:20
  • 53 - image-processing-9.zip
  • 54 - Basic Drawing Operations 3.mp4
    06:47
  • 54 - image-processing-10.zip
  • 55 - Texting.mp4
    06:54
  • 55 - image-processing-11.zip
  • 56 - What is Machine Learning.mp4
    01:40
  • 57 - About Haar Cascade.mp4
    02:41
  • 58 - Face Detection.mp4
    13:48
  • 58 - machine-learnin-1.zip
  • Description


    Learn about Raspberry Pi, Python 3, GPIOs, Pi Camera and Image Processing.

    What You'll Learn?


    • Raspberry Pi,
    • Python 3,
    • OpenCV,
    • GPIOs and
    • Object Detection.

    Who is this for?


  • For engineering students (EEE, CE etc.),
  • Interested in Computer Vision (OpenCV Module),
  • Interested in Raspberry Pi Computers and
  • Interested in Object Detection with Machine Learning.
  • What You Need to Know?


  • Work hard,
  • Tenacity and
  • Interest.
  • More details


    Description

    Hello everyone,

    Welcome to the introduction of my Raspberry Pi Boot Camp course. Nowadays, image processing, computer vision and Python programming language are becoming very popular.  With Raspberry Pi Boot Camp course, we will take a closer look at the Raspberry Pi computer and learn in detail. We will learn about the GPIO pins on the computer and have information about digital input and output. Thus, when you finish the course, you will be able to use the GPIO pins. We will also introduce computer vision and learn about the OpenCV library. Not limited to this, we will learn to control the Raspberry Pi camera with OpenCV. Moreover, we will introduce Machine learning and learn how to detect face using Raspberry Pi computer.


    Since the course was created as a result of years of academic and technical experience, you will be able to carry out your own machine learning projects together with Jetson Nano when you finish the course.


    Oh, and you also get a 30 days money-back guarantee if you’re not fully satisfied.

    See you in the course!

    No previous programming or electronics knowledge is required.

    "You are never too old to set another goal or to dream a new dream." - C.S.Lewis

    "Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao Tzu

    You get the best information that I have compiled over years of trial and error and experience!

    Best wishes,

    Yılmaz ALACA

    Who this course is for:

    • For engineering students (EEE, CE etc.),
    • Interested in Computer Vision (OpenCV Module),
    • Interested in Raspberry Pi Computers and
    • Interested in Object Detection with Machine Learning.

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    Yılmaz Alaca
    Yılmaz Alaca
    Instructor's Courses
    TR -Yaklaşık 7 yıldır C++ yazılım dili ve elektronik kartlar üzerinde uğraşmaktayım. Elektrik Elektronik Mühendisi lisans öğrencisiyim ve üniversitemde kurmuş olduğum topluluğumda yazılım ve elektronik dersleri veriyorum.--------------------------------------------------------------EN- I've strived on C++ and electronic boards for 7 years. I study at university and my department is Electronic engineer. I'm teaching software and electronic lessons at my club.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 58
    • duration 5:47:08
    • Release Date 2022/11/17