Build your OBJECT DETECTION PROJECT even though you’re starting from scratch.
A complete course with over 20 dedicated lessons, source codes, step-by-step, practical and easy to follow instructions will teach you all the secrets of Object Detection and Object Tracking from beginner to advanced.
You want 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.
The field of computer vision has experienced substantial progress recently, allowing for incredible technological advances that are bound to rule the world. And maybe, this is even what got you so enthralled with Object Detection in the first place: The promise of a technologically advanced future, and the power to have the keys of the systems that will one day rule the world in your hands!
Classifying and finding an unknown number of individual objects within an image, however, was considered an extremely difficult task only a few years ago…And the subject certainly hasn’t gotten simpler over time. Up to this day, even if companies like Google and Facebook have managed to productize it, Object Detection presents many sizable challenges beyond what is required for image classification.
All you need is a clear pathway
If you’re at all like me, when I started working with Computer vision, I had tips. Lots of them.
Fragments of the process of Image recognition and Object Detection. I would read a blog post here, watch a video tutorial there, read a good article about Object Detection and then some more tips from other sources I knew and respected.
But what I didn’t have for years was a step by step system. A blueprint, if you will, for how to use those tips in the right way.
All I wanted was for someone to sit me down, take me by the hand, and show me step by step how to think about Object Detection from the basics to creating an entire project.
When I started recording with my camera, for this videocourse, I knew exactly the vision I wanted to make true: I wanted people like you to have a clear path to follow from the basics concepts to the more advanced implementations on different kind of environments.
So embrace yourself for a new journey and you can pass whichever goal you set your mind on!
You can MASTER object detection
What if you knew right away how to detect any Object using computer vision?
What if you could simply install the libraries and focus on learning instead of debugging errors?
What if you could easily get new knowledge and practical skills to implement from the first day?
What if you could get the confidence to build any Object Detection and Object tracking project you have in mind or your clients need?
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 teach you:
Here is a brief glimps of what you’ll find inside the course
And much more …
Here some of the technologies you’ll be learning:
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.
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.
3. Object Tracking
In this module you will learn about Object Tracking and Object Counting.
You will learn how to assign a univocal ID to each object, track their movement and count the objects that are crossing an area.
You will also learn how to track objects of different categories and save their trajectory.
You can take advantage of ready to download python files and a really simple implementation.
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.
Who am I?
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 learn 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)
This course is for you if:
This course is NOT for you if:
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.
Have you got any question?
Feel free to email me at firstname.lastname@example.org
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.