ARE YOU TRYING TO MAKE IT WITH YOUR PROJECT AND OBJECT DETECTION, BUT ALL YOUR EFFORTS SEEM TO ABSOLUTELY NO AVAIL?
So you have chosen to take on the many challenges of Object Detection, thinking that you would need a bit more effort in your studies to reach your goals.
You started out your project excited, because this field of knowledge has your gears shifting in their place, and your mind is filled with the enthusiasm every student has at the start of his journey.
You knew the subject was going to be hard, but you thought it was a sustainable effort: You would have to pour study and hard work into the topic, but you knew results would eventually come your way as they did for other subjects.
The first few lessons on Object Detection got you even more pumped about it: The topics seemed accessible, and the teacher started out slowly, allowing you to savor your new choice of study to the fullest. But then, what happened?
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 IBM have managed to productize it, Object Detection presents many sizable challenges beyond what is required for image classification.
So you have probably gotten yourself on the Internet, pouring hours upon hours of your time lost in research
You have looked up the concepts that weren’t clear for you, watched youtube videos (This is where we’ve met!) and maybe even purchased books and manuals.
You thought looking up information and scouring the web would bring about the clarity you need to succeed in Object Detection. You almost hoped it would be something like learning the alphabet: Once you know the letters, reading comes easy.
And yet, there’s so many rules and laws that need your attention…
And everything gets jumbled in your head like the cables of your earphones whenever you put them in your pocket.
Slowly but surely, stress and anxieties come banging at your door to make themselves noticed. They install themselves in the living room like unauthorized tenants, and start living in your place when you try to go about your business
The fear of one day having to face exams has settled in your mind, and you just can’t shake it off.
You start thinking, “How will I pass the test and make my project successful”? And "What will I do if I don’t?"
And learning the concepts by heart just makes things more difficult for you, and you are aware of this.
Object Detection is a practical subject, and the theory is only useful if it turns into measurable and effective results.
So how exactly do you think you can turn written words into something concrete and palpable? Everything you’ve done to fight your way through Object Detection hasn’t yielded the results you have wanted. Every time you go and try to turn the information you learned in your textbook into something solid, you inevitably fail.
Yolo, TensorFlow, Keras, Opencv, Pytorch, Caffe, SSD, R-CNN - Your head starts spinning. And, even if you are lucky and someone else already managed to create a similar project to what you want to develop, when you download the source code, you aren’t able to run it. Suddenly, everything becomes desperate. And the process has you prisoner, and victim of your own fears: Like a snake biting its own tongue, your anxiety doesn’t allow you to think clearly and achieve your objectives!
Even if you are able to successfully run the code, you don’t know where to start making the small changes to make it work for your project in a more personalized way.
But does Object Detection really need to be that complicated?
If at one point you ever thought about giving up your goals, then stop yourself on your tracks! Every student who has approached Object Detection has been in your position before. Even I have been in the same shoes you are wearing. So brace yourself for a new journey: There’s hope left for you...And you can pass whichever exam you set your mind on.
When I started recording with my camera, I knew exactly the vision I wanted to make true: I wanted students like you to face the challenges of Object Detection unfaltering. I wanted students like you to always have an answer to their questions. I wanted you to be able to simply install the libraries, and focus on your project instead of debugging errors - And to be able to adjust any project you have at hand to make it suitable for your needs.
Object Detection course, the first-ever video course on Object Detection, specifically designed with people like you in mind
SAFELY IMPLEMENT OBJECT DETECTION IN YOUR PROJECT WITHOUT ANY HASSLE. SPEND LESS TIME HEAD-SCRATCHING AND MORE TIME FOCUSING ON WHAT REALLY MATTERS FOR YOUR FUTURE.
Here’s a brief glimpse of what you will find in the course:
My course won’t leave you even more confused than when you started, like most textbooks and manuals do. Accessing “Object Detection Course” means learning about the most practical, effective approach on the subject, and successfully integrating Object Detection into every project of yours. 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.
Object Detection with OPENCV
On the first module you learn 4 different object detection methods using the Opencv library.
You will learn:
- How to detect objects from a stable camera
- How to Detect objects by their color
- How to Detect similar Objects by comparing their features
Object Detection with
Deep Learning (YOLO v4)
*Available from 10th of October 2020
The second module introduces you to deep learning with YOLO.
You will learn:
- What is yolo and how it works
- The fastest way to run YOLO
- How to train yolo to detect Multiple custom objects
- How to run YOLO on your GPU
- How to create your own dataset with 1000+ images
- How to solve the most common errors (cuda out of memory, you can't detect your objects, ...)
- and more ...
2 Projects: Object Counter and Object Tracker*
*Available from 30th of October 2020
In this module we will develop 2 projects. A car counter on the High way, and a billard ball tracker.
You will learn:
- How to count moving objects
- How to calculate and draw the trajectory of an object
You will get also 2 BONUSES*:
*Available from 20 October 2020
#1 Deploy Tiny YOLO on Raspberry Pi
- Quick way to install Python, Opencv and Tiny Yolo
- Run TINY YOLO on your Raspberry PI
- and more ...
#2 Deploy YOLO v4 on Jetson Nano
Run YOLO v4 on Nvidia Jetson Nano with GPU
- Low FPS? How to increase the speed
- and more ...
Who am I?
I'm Sergio and I'm the instructor in this course.
In the past 3 years I've been teaching and working on different Computer Vision projects.
You can get a proof of my dedication by taking a look at my youtube channel (Pysource) where you'll find more than 80 free video tutorials with related blog post and source code.
My videos are watched by tens of thousands of people each month.
The idea to build this course came from the need to help as many students as possible with their Object Detection projects.
ARE YOU READY TO TURN HOURS SPENT HEAD-SCRATCHING IN PRODUCTIVE TIME SPENT ON YOUR FUTURE CAREER? ENROLL IN “OBJECT DETECTION COURSE” RIGHT NOW WITH A 299$ - GRAB THE CHANCE TO UPGRADE YOUR LEARNING OPPORTUNITIES AT A DISCOUNTED PRICE BEFORE IT’S GONE!
This course is for you if:
This course is NOT for you if:
What does happen once I buy this 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 2 is going to be fully released the 10th of October, the Bonuses the 20th of October and Module 3 the 30th of October.
- If you want to work with Deep learning to create custom object detectors, a PC/Laptop with a GPU Nvidia GTX 1050 (with 4gb of ram) or above is recommended. As an alternative you can use external services like Google Colab.
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.