Do you want to DETECT any OBJECT, even though you're starting from scratch?
Let me introduce you to the Object Detection (Opencv + Deep learning) course,
the videocourse which will help you to build your Object detection project.
You need to work on an
Object Detection project 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 disperate 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 that 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?
How this course can help you?
This course is focused to teach you the proper way to implement Object Detection on your project.
And much more ...
Object Detection with OPENCV
On the first module you learn 4 different object detection methods using the Opencv library.
You will learn:
Object Detection with
Deep learning (YOLO v4)
The second module introduces you to deep learning with YOLO.
You will learn:
2 Projects: Object Counter and Object Tracker
In this module we will develop 2 projects. A car counter on the High way, and a billard ball tracker.
You will learn:
You will get also 2 BONUSES:
#1 Deploy Tiny YOLO on Raspberry Pi
#2 Deploy YOLO v4 on Jetson Nano
Run YOLO v4 on Nvidia Jetson Nano with GPU
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.
This course is for you if:
This course is NOT for you if:
What does happen once I buy this PRESALE?
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 ***:
Have you got any question?