Build COMPUTER VISION PROJECTS,

even though you only have basic programming knowledge.

Build Projects quickly and easily
Learn how to build Computer Vision projects from scratch
Source code ready to implement and run on your machine
FULL VIDEOCOURSE with over 25 dedicated lessons
Guided Step-by-step to successfully reach your goals.

This course will guide you step-by-step on building Computer Vision projects easily, quickly and efficiently.

You want to work with COMPUTER VISION and

you don’t know where to start?

I know how it feels! When you look for “Object detection” on Google you get simply overwhelmed by the amount of information you find: YOLO, Tensorflow, Keras, OpenCV. And then Pytorch, Caffe, SSD, R-CNN just to name a few.


I’m sure you surfed through different sources about Computer Vision, Object Detection and Object Tracking, watched video tutorials on youtube about it, read blog posts, or even bought some books and courses but still you’re not able to build the Project you need because:

On the articles you read there is TOO MUCH THEORY and not real-life applications
Video tutorials gave you only partial information and you don’t know how to use it
Courses are just too long and not straight too the point
The information you found left you even more confused than when you started
Books and Courses are hard to follow and you never get to read their end

You need SIMPLE and EFFICIENT solutions

Nowadays Time is one of your most valuable assets!

As a student, researcher, or professional you’re bound to tight deadlines. As a freelancer and business owner, each hour of your time is worth hundreds if not thousands of dollars.

And it’s exactly for this reason that I built this course for people like you in mind, for people who value their time and that are ready to invest in premium content.


This is how my course is different from the other sources you’ve gone through so far:

Build Projects Easily and Quickly
Complete tutorials with clear information about each single step to build your project
Straight to the point but with precise explanations so that you know what you’re doing
4 Stand-alone modules, get what you need withouth going through everything
Discussion section where you can ask me questions

Forget about cookie-cutter information and solutions that don’t do anything for your goals: My course is designed to explain the theory in the simplest way there is, showcasing how to apply it step-by-step.

This course WILL PROVIDE you with:

Here is a brief glimps of what you’ll find inside the course:

5 different Object Detection methods with source code READY TO BE IMPLEMENTED
Object Tracking and Object Counting to build more advanced applications for industrial use
A discussion section where you can ask your questions if something is not clear
A simple and proved way to build your CUSTOM DETECTOR to detect any Object
Easy, step-by-step instructions with the explanation of everything you’ll be working on
More than 20 source codes ready to run on your machine

And much more …

Who is this course for?

For Developers, whether you’re a beginner with no knowledge of Computer Vision and AI, or that you’re already working in this field and you want to level up your skills.

For College Students, who need help with their homework and final thesis project.

For Business Owners who want to train their developers, or who need a guide to integrating computer vision into their company or a part of their service.

For Freelancers who want to learn how to develop computer vision apps for their clients, or that want to build their own software.

For Researchers who need computer vision for their project and need some material/project ready to work with.

For hobbyists who want to learn and build successful projects with Visual Recognition.

For anyone who wants to work with computer vision, who wants to save time, level up the skills with an easy, step-by-step, practical and efficient guide.

Course Modules

1. Object Detection with OpenCV

4 different object detection methods using the OpenCV library.

These methods are the basis of Object Detection to detect objects on a controlled environment, whether by the color of the objects, objects that are moving from a stable camera or similar objects by their features.

For each method there is a video lesson, an article with the explanation and a python source code to download and ready to use.

11 Lessons | 9 Python files

Module 1 – (valued 550$)


2. Object Detection with Deep Learning

You will be able to integrate OpenCV with Deep Learning to DETECT any OBJECT.

By using OpenCV with Deep Learning you will be able to Detect any Object, in any type of environment.


You will get a CLEAR 3-Steps process to create a custom Object Detector.

Instructions, step-by-step lessons, source code and Google Colab Notebooks (to use free GPU online) will be provided.

7 Lessons | 3 Python files | 2 Colab Notebooks

Module 2 – (valued 1050$)


3. Object Tracking

In this module you will be able to implement Object Tracking and Object Counting.

You can assign a univocal ID to each object, Track their movement and Count the objects that are crossing a specific area.

The most up-to-date tracking algorithm is provided to guarantee a reliable tracking.

6 Lessons | 6 Python files

Module 3 – (valued 1450$)


4. Object Detection on Raspberry pi and Jetson Nano

Deploy your object detection models on Raspberry pi and Jetson Nano.

On the raspberry pi you’ll be able to use a simple Object Detection model on a controlled environment, taking advantage of its low cost and simplicity to use.

On the Jetson Nano you will be able to implement your full Detection or Tracking project and run it in real-time by taking advantage of its GPU.

4 Lessons | 2 Python files

Module 4 – (valued 450$)


Total value 3500$

  • $397
  • 25+ Video Lessons
  • 20+ Python Source codes ready to use
  • 4 Stand-alone modules
  • Ready Projects From Scratch
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee

Who am I?

Hi there,

I’m Sergio, a Computer Vision Developer and founder of Pysource.

I help companies, freelancers and students to learn easily and efficiently how to apply visual recognition to their projects.

To get a taste of what I offer, I shared for free well over 100 videos on my youtube channel (Pysource), where my content is watched by tens of thousands of people each month.

If you also want to use my Object Detection methods, join my course.

See you there 😉

What people say about me …

(here just some from thousands of comments about my video tutorials)

F.A.Q.

1. What does happen once I buy?

Once you buy you get IMMEDIATE and FULL access to the Course (video lessons, articles, source code).

2. How long will I have access to the course?

You pay only once and You will have life-time access to the course.

3. Are there any entry requirements?

A basic knowledge of Python programming is required, so you need at least to be familiar with variables, comparison operators, and while and for loops.

4. Can I pay with Paypal, Credit Card or Bank Transfer?

You can pay with Paypal or Credit Card directly by clicking on “Buy Now”, after you signed-up with your Name and Email.

If you want to pay with Bank transfer, please contact us here: [email protected]

5. Can I get an Invoice?

Yes. After you make the payment, send your company details to this email: [email protected]

6. Have you got any question?

Feel free to email me at [email protected]

30 Day Money back Guarantee

I’m so confident about the quality of this videocourse and that you’ll be able to get advantage from it that I offer you a 30 day full money back guarantee.

Go through the course, follow all the steps and put in the work. If you think that you’re not improving your skills and not getting any benefit from it, then you can send me an email and I’ll refund you immediately.

Pricing

  • $397
  • 25+ Video Lessons
  • 20+ Python Source codes ready to use
  • 4 Stand-alone modules
  • Ready Projects From Scratch
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee
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