You can easily DETECT any OBJECT using Python and Opencv.

This course is going to teach you 5 different object detection methods.

More than 20 lessons, over 9 hours of content, step-by-step, practical and easy to follow instructions will teach you the right way to build your Object Detection project.

You need to work with Object Detection 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.

If you are lucky, someone else before you did a really similar project to what you want to develop, but … when you download the source code simply you are not able to run it, and now the search of a solution for your project turns into desperate attempts to solve the countless errors that the terminal is printing.

If you’re able to finally run it, then how to make the small changes that you need to adapt that code for your project when the source code is hundreds of lines which make no sense to you and you have no clue of how it even works?

Does “Object detection” really need to be that complicated?

The biggest goal of this videocourse is to get your hands on Object Detection as quickly as possible to work on your project, no matter what’s your experience.

it doesn’t need to be complicated

When you’re working on a project and you have a deadline, there is nothing worse than spending a lot of time solving a specific task, just to find out at the end that it doesn’t work. And it gets even worse if you have no idea how to move on from there.Do you need to keep trying or is it better to look for another solution?

On the internet there are a lot of great resources about “Object detection”. Many of them are written by researchers and qualified developers who explain pros, cons and progresses of certain algorithms. If you know the bigger picture, these articles are awesome resources, but if you don’t, you’ll most likely feel lost.

How do you know which one is the right approach for you? What if your project does require a different solution?

You can MASTER object detection

What if you knew right away which “Object detection” method is right for your project?

What if you could simply install the libraries and focus on your project instead of debugging errors?

What if you knew how it works and you could adjust the project for your need?

What if you had a solution to finally complete your project?

This course will help you to learn:

This course is focused to teach you the proper way to implement Object Detection on your project.

5 different Object Detection methods
How to choose the right method for you
How to build a project from scratch
The basic concepts of Object detection with Deep Learning
How easily install the libraries

How to Use Deep learning with YOLO v4
The fastest way to create a dataset of 1000+ images
To train your own custom object detector
How to train YOLO to detect multiple objects
How to use Deep Learning with your GPU

And much more …

Course Modules

1. Object Detection with OpenCV

Learn 4 different object detection methods using the OpenCV library.

These methods are the basic of Object Detection and they consist in the use of simple image analysis and image processing to detect objects on a controlled environment, whether by the color of the objects, moving objects from a stable camera or objects features).

Despite their simplicity, these methods are really powerful, reliable and straightforward.

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

Read the full program here.

11 Lessons | 3.5+ Hours | 9 Python files

2. Object Detection with Deep Learning

You will learn how 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 familiar with the basics of deep learning, image datasets, pre-trained models and building custom object detectors with YOLO.

In this course you’ll take advantage of Python source codes and Python notebooks ready to use, with which you can easily download datasets with thousands of images and create your custom object detector to detect multiple objects.

Read the full program here.

7 Lessons | 2.5+ Hours | 3 Python files | 2 Colab Notebooks

3. Object detection Projects built from scratch*

*Coming soon

In this module we will develop 2 projects: a car counter on the High way and a billard ball tracker.

ByIn this module you’re going to learn how to assign a univocal id to each object, in order to be able to count them and then how to detect the trajectory of an object.

Read the full program here.

Coming soon …

4. Object Detection on Raspberry pi and Jetson Nano

Learn how to easily deploy your object detection models on Raspberry pi and Jetson Nano.

I’m going to guide you step-by-step from the installation of the OS system, the most important libraries for object detection till Object Detection on both the devices.

On raspberry pi you’ll learn how to detect any custom object from an image whether using your model or a pre-trained model.

On the Jetson Nano you’ll learn how to perform a real-time detection (from a camera/or video) by taking advantage of it’s GPU.

Read the full program here.

4 Lessons | 1+ Hour | 2 Python files


Step-by-step instructions for all the necessary installations

I’m going to guide you through the installations, from simply installing Opencv on Windows, Pycharm IDE, to more advanced installations (Opencv with CUDA GPU and Darknet with CUDA GPU) on Windows.

4 Lessons | 1+ Hour
  • $297.00
  • 20+ Video Lessons with articles and step by step instructions.
  • 15+ Downloadable Python source code ready to use
  • 9+ hours of content
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee

Who am I?

Hi there,

I’m Sergio and I’m the instructor in this course.

I have been in the IT sector for several years and, perhaps also for this reason, I have learned to interpret the requests of my customers.

I decided to take advantage of my experience gained over the years in computer vision and create a course that can be understood even by a beginner’s first approach.

You can get a proof of my dedication by taking a look at my youtube channel (Pysource) where you’ll find more than 100 free video tutorials with related blog post and source code.

My videos are watched by tens of thousands of people each month.

What people say about me …

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


This course is for you if:

You need a practical approach to Object Detection
You want to build an Object Detection prototype

This course is NOT for you if:

You’re just looking for a quick solution and you want to copy/paste the source code without putting the work.
You want to develop an advanced object detection/tracking system for industrial use.

What does happen once I buy this course?

Within 24 hours will get an email with the access details to the videocourse.
You pay just once but you will have lifetime access to the course.

Do I need to know programming?

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.

*** Important Notes ***:

  • Module 3 has not been released yet and it’s coming soon.

  • If you want to work with Deep learning to create custom object detectors, a PC/Laptop with a GPU Nvidia GTX 1060 (with 6gb of ram) or above is recommended.
  • If you don’t have a Nvidia GPU, don’t worry, I’ll teach you how to use a Free GPU online, taking advantage by the service offered by google.

Have you got any question?

Feel free to email me at [email protected]om

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.


  • $297.00
  • 20+ Video Lessons with articles and step by step instructions.
  • 15+ Downloadable Python source code ready to use
  • 9+ hours of content
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee