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WANT TO GET A JOB IN COMPUTER VISION?
Build Custom AI models using OpenCV in Python in this 6-in-1 MEGA-COURSE and become a Computer Vision Expert...
Here's the HARD TRUTH about becoming a developer in AI in Computer Vision that no one will tell you...
I started out wanting to learn AI and GET a JOB in Computer Vision...
... The average salary for a Computer Vision engineer is over $116k/year! Now to get a job in AI-CV, I had to acquire the wide range of skills and specific CNN models use in the Industry. Now, this was quite challenging because I used to check out a lot of GitHub repos, which were very vague and required for me to be super competent in software development/programming and understand all of the jargon –
Now even though I have a Masters Degree in electronic engineering (M.Eng), it was still challenging for a beginner like me at the time to figure it all out. I had a lot of questions like...
- ...What steps to take to get my code working?
- Do I have the right hardware?
- Windows or Linux – If Linux, do I use Ubuntu, Red Hat, CentOS, ROS
- If Ubuntu, what version 16.04, 18.04, 20.1? What kernel do I need?
- If I am training, what format does my dataset need to be in?
- Do I use Python or C++
- If Python, what dependencies do I need?
- Which frameworks do I use? PyTorch, Darknet Tensorflow 1.0 or 2.0
- What commands do I type to infer or train a convolutional neural network
- How big does my dataset needs to be?
- How do I run on GPU, and does my GPU support the framework?
I was unsure of what to do. The instructions were so vague, I would skip to the next repo and the next, until I found one that resonates with me or one that had a clear set of instructions that I could understand and follow. Either that or I searched for a video tutorial on it. And video tutorials on these particular topics are very scarce..
..I really wished, that I had an expert to mentor me to success?
The other problem was that I would follow the instructions, but I would run into trivial issues, like not having the correct dependencies or I did not have the correct hardware or OS etc.
When things don’t work. This would beat me down and make me loose confidence of whether or not this repository would work.
Now I had 2 options, I could either spend tons of hours searching the web to debug the issue or move on to the next repo which also may or may not work. Have you experienced something similar?
Then, I thought, if a guy like me with a Masters Degree in electronic engineering had all these issues with getting started in AI, surely other people would be having this same issue as me. People such as:
- non-programmers/non computer science ,
- Hobbyists, Students, researcher, employees.
- People starting out in AI....
But by Following my Step-by-Step Course in AI-Computer Vision, you could:
Solve Problems
Solve Practical Problems in AI using the computer vision tools. Train your own custom networks
Certainty
Know exactly what hardware, OS, version, tool, Frameworks and commands to use.
Reduced Debugging
Reduce your debugging, because we've already gone through the pain-staking process for you.
Improved Skills
Become skilled in AI so that you are able to charge your clients premium pricing.
Employment
Be more likely to get a job because you have the practical skills and tools that I teach in the course to get you ahead of your competition.
Workflow
Implement an Optimized AI workflow that I use personally, which can accelerate your processes, thus enhancing your productivity.
Guidance
Practice as you learn step-by-step. This course is designed to make AI easy, through tried and tested training that saves you time.
Surety
Be certain that this course will help you or your money back. We also have an exclusive Tech Support Team & LIVE 1-on-1 Remote Desktop Assistance to ask questions & get answers.
Okay So... "Is this Course right for me?"
This course is for developers, researchers, and students who have at least some programming experience and want to become proficient in AI for computer vision & visual recognition.
Maybe you:
✔️ Are a computer vision developer that utilizes AI and are eager to level-up your skills.
✔️ Have experience with machine learning and want to break into neural networks or AI for visual understanding.
✔️ Are a scientist looking to apply deep learning + computer vision algorithms to your research.
✔️ Are a university student and want more than your university offers (or want to get ahead of your class).
✔️ Utilize computer vision algorithms in your own projects but have yet to try deep learning.
✔️ Used AI in projects before, but never in the context of analysis of visual perception.
✔️ Write Python/ML code at your day job and are motivated to stand out from your coworkers.
✔️ Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
✔️ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
✔️ You’re someone that believes in taking action. You watch the material and then you actually APPLY it.
If any of these descriptions fit you, rest assured: you're the target student.
I designed this course just for you.
Introducing...
SIX+ courses in ONE — customized to what you want to learn.
We've combined our most Popular Computer Vision Courses into one MEGA-Course which covers a HUGE amount of content. We've wanted to make it the most comprehensive course for you to learn the latest in Computer Vision. This Mega-Course includes tutorial videos, activities, source code, app activities, practical labs and quizzes to help you Learn 5x Faster.
1. YOLOv4
Object Detection
The YOLOv4 Course begins with a gentle introduction to the world of computer vision with YOLOv4, first by learning how to install darknet, building libraries for YOLOv4 all the way to implementing YOLOv4 on images and videos in real-time.
From here you will even solve current and relevant real-world problems by building your own social-distancing monitoring and Mask detection app. You will learn also how to implement vehicle tracking using the robust DeepSORT Tracking algorithm.
2. Detectron2
Multipurpose AI-CV Models
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.
Detectron2 includes high-quality implementations of state-of-the-art object detection algorithms, including DensePose, panoptic feature pyramid networks, and numerous variants of the pioneering Mask R-CNN model family also developed by FAIR.
You will not only learn how to implement Detectron2 but also learn how to train the model for your own custom applications.
3. OpenCV AI Kit + Raspberry Pi
Real-time Spatial AI Computer Vision on a Raspberry Pi
In this course you will learn how to get started with the popular computer vision hardware called the OpenCV AI Kit or OAK. So this device allows for spatial AI which means that you can get depth of an object relative to the camera.
Some cool apps you will be developing are:
- AI security Camera
- Social Distancing Monitoring
- Mask Detection Access Control
- Auto Pan Tilt Tracking Camera
- Sign Language Detection
- Autonomous Person Tracking Drone - Coming Soon
- And much more...
4. SiamMask
Segmentation + Tracking
The SiamMask Course begins with a gentle introduction to the world of computer vision with Fully Convolutional Siamese Networks, comparing to SiamFC and SiamRPN. We then go on to build the libraries for SiamMask all the way to implementing Model on videos for real-time 35-FPS segmentation tracking.
If you go PRO then you will find the most in-depth bundle and is a perfect fit if you want to natively train your own SiamMask neural network. We start you off from the ground-up with preparing our dataset and organizing the YouTube VOS dataset.
5. Mask R-CNN
Object Segmentation
Learn how to implemented Mask R-CNN Deep Learning Object Segmentation Models From Training to Inference - Step-by-Step. [Now Updated for TensorFlow 2.0 ]
In this course you will learn:
- How to easily Label an Image dataset using this one tool.
- Augmented your Dataset with just 1-click and get 7-10x more data in minutes.
- Train your model 2X faster by tweaking these parameters and workflow.
- Deploy your model in Real-time on you CUDA-Supported GPU.
- Project : Road pot-hole detection.
6. OpenPose
Pose Estimation
Pose Estimation is a computer vision technique, which can detect human figures in both images and videos. You may have first experienced Pose Estimation if you've played with an Xbox Kinect or a PlayStation Eye. Now image developing your own Pose Estimation applications but without the specialized hardware, i.e. just using an ordinary web-cam and the power of AI!
Some cool apps that you will build are:
- Fall Detection
- People Counting
- Plank Pose Corrector
- Yoga Pose Identifier
- Body Ratio Estimator..
Unlock Source Code to these Apps and More..
PLUS... IF YOU PURCHASE TODAY, YOU WILL ALSO GET THIS FAST ACTION BONUSES WORTH $653
Bonus 1 - Neural Networks Fundamentals Nano-Course
This Nano-course teaches you the basics of Neural Networks. It include 3 forms of Artificial Neural Network architectures that are commonly used in AI industry and research. [Worth $99]
Bonus 2 - Accelerate Deep Learning on a Raspberry Pi Course
Get FREE access to the course that will show you how to accelerate your AI Object Detection models 5X faster on a Raspberry Pi 3, using the Intel Movidius for Deep Learning. [Worth $149]
Bonus 3 - Build your own E.D.I.T.H. Glasses AI from Spiderman Course
Project E.D.I.T.H. shows you how to prototype the AI that Tony Stark handed down to Peter Parker in Spiderman (Far from Home). Put your self in the shoes of a superhero as we prototype Stark-Tech in this course. [Worth $199]
Bonus 4 - YOLOv3 Object Detection Course
Even though we are going to be learning the latest YOLOv4, in this YOLOv3 course you get to learn how to implement your training using an optimized workflow called Supervisely. Supervisely allows you to easily label, augment and train your models anywhere without the technical expertise.
[Worth $140]
Bonus 5 - Face Recognition Attendance GUI in PyQt
The reason for building a GUI is obvious, if you want to roll your application, for example, it needs to be presented well and therefore you will need a user interface or UI. By building this app you will also learn the fundamentals of how to build your own apps using the PyQT framework.
[Worth $39]
Bonus 6 - Chess Piece Detection - YOLOv5
If you noticed how players always record their movements on paper next to them. Now imagine having a Chess AI being able to look at a chess board, to detect, map and record the moves for the player. Now if you are a novice player like me, you may also want the AI to help coach you and provide simulations of the match to help better your game. In this project, we will focus on just the computer vision part of it where we train a YOLOv5 model to detect chess pieces.
[Worth $27]
Course Requirements
Mid-High Range PC/Laptop
Win 10 & Ubuntu 16.04 or later
NVIDIA CUDA GPU
RPi
OpenCV AI Kit
JUST IMAGINE, 4 WEEKS FROM NOW IF...
Imagine, if a week from now, once you have completed this course, that you are able to implement and train your own custom Convolutional Neural Networks (CNN's) with this Comprehensive Computer Vision Course. Imagine all the applications you could do with these skills!
You could be take your new found expertise and be:
- Solving real world problems,
- Freelancing AI projects,
- Getting that $116K job/opportunity in AI-CV,
- Tackling your research guns blazing!
- Saving time, money, &
- Wishing you had done this course sooner.
The world is your oyster... Ask yourself...What cool things would you do once you have skills in AI?
BLACK FRIDAY SALE ENDS IN
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Join the COMPUTER VISION PRO Tribe!
BLACK FRIDAY ONLY DEAL!
COMPUTER VISION PRO GOLD
$197
ONE-TIME PAYMENT
- LIFETIME ACCESS to Augmented AI-CV PRO
- 1-Group Coaching Session per month
- Technical Support via Chat [$119]
- Access to all Projects on the Vision Store [$119]
- 1-HOUR LIVE Remote Desktop Technical Support [$598]
- ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)
- Discord & GOLD Facebook Community
- Certificate of Completion
- [Course 1] YOLOv4 PRO - Starters + PyQt + Training [$559]
- [Course 2] SiamMask PRO - Starters + Training [$499]
- [Course 3] Detectron2 PRO - Starters + Training [$699]
- [Course 4] OpenCV AI KIT PRO - Apps + Training [$299]
- [Course 5] Mask RCNN: Object Detection Course [$99]
- [Course 6] OpenPose : Pose Estimation Applications Course [$79]
- [Bonus 1] Neural Networks Fundamentals Nano Course [$99]
- [Bonus 2] Accelerate Deep Learning on RPi Course [$149]
- [Bonus 3] Project EDITH AI Glasses Course [$149]
- [Bonus 4] YOLOv3 Object Detection Course [$140]
- [Bonus 5] Face Detection Attendance Project in PyQt (1-hour) [$39]
- [Bonus 6] YOLOv5 Chess Piece Colab Training and Testing [$27]
[Total Value of $3128]
COMPUTER VISION PRO DIAMOND
$397
ONE-TIME PAYMENT
- LIFETIME ACCESS to Augmented AI-CV PRO
- Plus 1 Additional Group Coaching Session per month
- 2 Personal 1-on-1 Coaching Sessions
- Technical Support via Chat [$119]
- Access to all Projects on the Vision Store [$119]
- 2-HOUR LIVE Remote Desktop Technical Support [$1196]
- ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)
- Discord & DIAMOND Facebook Community
- Benefits from GOLD
- Certificate of Completion
- [Course 1] YOLOv4 PRO - Starters + PyQt + Training [$559]
- [Course 2] SiamMask PRO - Starters + Training [$499]
- [Course 3] Detectron2 PRO - Starters + Training [$699]
- [Course 4] OpenCV AI KIT PRO - Apps + Training [$299]
- [Course 5] Mask RCNN: Object Detection Course [$99]
- [Course 6] OpenPose : Pose Estimation Applications Course [$79]
- [Bonus 1] Neural Networks Fundamentals Nano Course [$99]
- [Bonus 2] Accelerate Deep Learning on RPi Course [$149]
- [Bonus 3] Project EDITH AI Glasses Course [$149]
- [Bonus 4] YOLOv3 Object Detection Course [$140]
- [Bonus 5] Face Detection Attendance Project in PyQt (1-hour) [$39]
- [Bonus 6] YOLOv5 Chess Piece Colab Training and Testing [$27]
[Total Value of $5154]
If you have any questions or concerns about the course, contact us below. We're happy to help.
DON'T TAKE MY WORD FOR IT,
HERE'S WHAT PEOPLE ARE SAYING ABOUT MY COURSE & YOUTUBE CHANNEL
Veloshan Pillay Testimonial
.
NOW YOU HAVE TWO CHOICES...
OPTION 1 - GO AT IT ALONE
You can take this knowledge and try to do it by yourself, without a system or a coach. You can waste time debugging, browsing Stack Overflow and Github for that perfect repo that will solve your problems. There is also chance that you may even go backwards. Watch the days go by and wonder “what if…”.
Worse, you’ll watch other people succeed while you struggle to figure it out. Other developers pop out of seemingly out of nowhere suddenly shows off your idea! Something you could have had.
OPTION 2 - TAKE THE FAST LANE AND LEARN AI WITHIN A WEEK
You can follow a PROVEN SYSTEM or hire a mentor, who has been exactly where you are right now, to guide you. Within a week, you will fast track your AI development so that you can start developing practical AI apps that helps solves problems.
This course gives you…
- ..faster results...
- ...support the whole way there...
- ...the opportunity to dramatically upgrade your skills in AI-CV.
SO WHICH OPTION DO YOU WANT TO TAKE? CHOOSE WISELY.
STILL UNSURE? HERE'S SOME COMMON QUESTIONS WE GET...
➤ For the Once off courses YES! It’s yours forever!
➤For Augmented AI-CV Membership you will have access as long as you are a member.
➤ You’ll get an email from me in which I will give you access to the courses and membership. Check your spam folder if you do not find this email. Whitelist the email, so you can receive technical support and updates.
➤Ensure that the email you register with is the same email address that you paid with.
➤If you do not find email, you can go to www.augmentedstartups.com/library to access your courses.
➤ You are looking to be spoon fed (you ONLY do what’s covered in a course).
➤ You’re unemployed (unless you have lots of money saved up where you can comfortably join the course. You’re NOT gonna get far if you’re under pressure).
➤ You’re in debt (join the course later once you’re out of it).
➤ You want to put the minimum amount of work to get the maximum results
➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
➤ You are committed. This course is about developing core skills that will stay with you a lifetime and will be the foundation for your success for YEARS to come.
➤ You’re someone that believes in taking action. You watch the material and follow along step-by-step.
➤ Are a computer vision developer that utilizes and are eager to level-up your skills.
➤ Have experience with machine learning and want to break into neural networks or AI for visual understanding.
➤ Are a scientist looking to apply deep learning + computer vision algorithms to your research.
➤ Are a university student and want more than your university offers (or want to get ahead of your class).
➤ Utilize computer vision algorithms in your own projects but have yet to try deep learning.
➤ Used AI in projects before, but never in the context of analysis of visual perception.
➤ Write Python/ML code at your day job and are motivated to stand out from your coworkers.
➤ Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
➤ You’re someone that believes in taking action. You watch the material and then you actually APPLY it.
That question is best answered by sharing some statistics with you:
- It takes anywhere between 40-70 man-hours to create each tutorial on Augmented Startup
- That's about $2000-3500 USD for each tutorial
- I have over 250 video tutorials published on Augmented Startups
- Which means that I'm already offering $500,000+ worth of content for free
You may not realize that I have a team that helps me answer question, and do many other "behind the scenes" tasks for each video tutorial I publish.
Each blog post costs ~$2000-3,500 USD to produce. Over the years, I made up that cost through course sales and sponsorships. I want you to have every blog post for free, so to avoid a pay-wall to my content. This is a way viewers can support my blog while getting a world-class education.
It's the only sustainable business model that guarantees I can continue to produce high-quality material for you for years to come. I hope you understand and see the value in what myself and Augmented Startups offers.
➤ Hiring a mentor who charges you $50 an hour. Getting 3 hours of training from them per week would cost you about $600 a month. Its also very challenging to find an AI mentor who will be willing to assist.
➤ This course will save you a lot in time from figuring it out by yourself. Time is money and is especially valuable since we have a limited time on this planet. Do you want to waste it wreaking your brains debugging and figuring this out by yourself?
➤ What would this course be worth to you if it got you even one client? Or what would be your return if you landed a job as an AR developer?
➤ Most of my material is free… But I charge a premium price for the very best stuff.
➤ Lastly, this course is so good you can’t afford to NOT have it.
➤ First of all, Python is awesome. It is an easy language to learn and hands-down the best way to work with deep learning algorithms.
➤ The simple, intuitive syntax allows you to focus on learning the basics of deep learning, rather than spending hours fixing crazy compiler errors in other languages.
➤ You’ll struggle in the beginning but if you work hard, the payoff will be so worth it.
➤Don't worry; you won't get swamped by tons of theory and complex equations.
➤We'll start off with the basics where you'll learn in a fun, practical way with code.
➤ We provide you with technical support team to help you when you get stuck on any particular lesson within the scope of the course
➤You'll be an Object Detecting ninja in no time, and be able to graduate to the more advanced content.
➤This course isn't just for beginners — there's advanced content in here too.
➤You'll discover how to train your own custom object detectors using AI.
➤You'll build a custom framework that can be used to train very deep architectures using Yolo V3.
➤ I'll even show you my personal workflow blueprint that I use to determine which AI techniques to apply when confronted with a new problem.
➤Best of all, these solutions and tactics can be directly applied to your current job, research, and projects.
I personally use the NVIDIA 1080 (8GB) on a daily basis for training my own AI models. Alternatively, I would recommend using Amazon EC2 and their GPU instances (particularly p2.* and g2.*) in the cloud to train your networks if you do not want to purchase physical hardware.
I'll be sorry to see you go, but yes, you can always cancel your COMPUTER VISION+ subscription if you feel you are no longer getting value out of it. No need to contact me or more team, simply login to the Augmented Startups dashboard and from there you'll be able to cancel.
It is possible to execute the model on a CPU without a problem. If you are using a GPU will dramatically speed up the network training process. Its best to use an NVIDIA GPU as we use the CUDA libraries which are only compatible with the NVIDIA brand. So please ensure that you are using a CUDA support NVIDIA GPU.
➤If you would just like to learn OpenCV AI Kit, then you can enroll just in that course.
➤If you want to be the best and acquire comprehensive knowledge in AI Computer Vision then the PRO version will suit you.
➤Otherwise if you want to access certain lectures or stay up to date with future AI-CV tutorials then the membership will be optimal for you.
You should choose a bundle based on (1) how in depth you want to study AI in computer vision & visual recognition and (2) your particular budget.
➤Detectron2, OpenPose, YOLOv4, Mask RCNN courses use Windows 10
➤SiamMask course uses Ubuntu 16.04 or 18.04
➤OpenCV AI Kit course uses RasbianOS on Raspberry Pi
No - Why reinvent the wheel, this course focuses on the implementation of YOLOv4 to get you up and running. We do NOT build the network layer-by-layer.
➤ If you have any other questions, please send me a message via Facebook Messenger, and I'll get back to you ASAP.
Yes, you will receive a legitimate and signed certificate upon completion of the course.
If you have already purchased courses from the COMPUTER VISION PRO Mega-Course, then you will receive a $100 discount from everyone else.
Contact me here if you have valid purchase:
www.augmentedstartups.info/fbmeesenger
The individual courses do not include Group, Private Sessions and Remote Desktop Support but when you Join either GOLD or DIAMOND, you will receive these perks.
