YOLOv7 Object Detection Pro Course

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YOLOv7

Computer Vision

Pro Course

Become an End-to-End YOLOv7 Computer Vision specialist in just 4 Weeks!
ENROLL

YOLOv7 is the fastest and most accurate Object Detection

Model

According to InsideMachineLearning.

The Swiss Army Knife of Computer Vision.

Presenting

YOLOv7

Computer Vision Pro Course

Become a YOLOv7 Object Detection Pro Specialist in just 4 Weeks.

Introduction - YOLOv7 and research paper discussion

Training - Custom YOLOv7

YOLOv7 + Tracking Intro - Multi-Object Tracking and Integration

YOLOv7 Conversion- Pytorch, ONNX, OpenVINO, TensorRT

Flask Integration - Integration with Yolov7

Apps - Security with Dashboard, Mining Safety Check, Retail Heat Maps, Agriculture Count Fruit, Traffic, Vehicle Counting, License Plate Recognition, Gaming Aimbot, Whiteboard Drawings generation.

Pose Estimation Pose Estimation Basics with Push-up Counting, Bicep Curl Application, Yoga Pose Identification and Fall Detection

Object Segmentation Installation of Conda, Running it on Google Colab, Dataset Collection, Annotation and using Roboflow for Dataset Augmentation, Running the model

"If you want to build Full-Stack Computer Vision Apps with YOLOv7,

then this course is just for you!"

10 Hours+ Content

Code + Datasets

Beginner Friendly

Lifetime Access

Curriculum

Module 1

Introduction & Getting Started

Introduction to YOLOv7

YOLOv7 Architecture

Run YOLOv7 on Windows 10/11

Run YOLOv7 on Ubuntu

Run YOLOv7 on Google Colab

Research Paper

Module 2

Training Custom YOLOv7

Training Process of YOLOv7

Training your Custom YOLO7 Model

Data Collection

Data Annotation

Dataset Bias & Health

Data Pre-processing

Data Augmentation

Roboflow train

Training Prerequisites

How to tune your training parameters

How to analyze your model performance

Active learning for faster automated annotation

Training Model
Deploying Model

Module 3

YOLOv7 + Tracking

Multi-Object Tracking (MOT)

Integrating YOLOv7 with Byte Track

Integrating YOLOv7 with Nor-Fair

Integrating YOLOv7 + Tracking with Streamlit

Module 4

Flask Integration

How to connect Flask with Yolov7

Fundamentals of Computer Vision with Front-End WebApp

Integration of YOLOv7 with front end

Widget and Buttons

Minimalistic Front End Design

Module 5

Apps

Security with Dashboard

Mining Safety Check

Retail Heat Maps

Agriculture Count Fruit

Traffic, Vehicle Counting

License Plate Recognition

Gaming Aimbot

Whiteboard Drawings Generation

Module 6

YOLOv7 Conversion

PyTorch

ONNX

TensorFlow

OpenVINO

TensorRT

Module 7 - Pose Estimation

Module 7 Lectures

Getting started with YOLOv7 Pose Estimation

Push up Counting

Bicep Curl Application

Fall Detection

Yoga Pose Identification & Correction

Module 8

Object Segmentation

Install & Run on Ubuntu (Conda)

Run on Google Colab

Dataset Collection

Dataset Annotation - Segmentation Masks

Dataset Health Checker

Dataset Augmentation

Training Segmentation model with YOLOv7 on GPU

Running/deploying Model

Estimate pixel area of each segmentation mask and overlay it on Potholes (real-time)

Segmentation with tracking and UI

YOLOv7 Panoptic Image Captioning

App 1

Security with Dashboard

App 2

Mining Safety Check (Hard hat, Glasses, and Vest)

App 3

Retail Heat Maps - Check heatmaps density

App 4

Agriculture Count Fruit and display on Widget

App 5

Traffic, Vehicle Counting, Tracking, and speed calculation

App 6

License Plate Recognition with Dashboard - Easy OCR

App 7

Gaming Aimbot with YOLOv7

App 8

Whiteboard Drawings to Web page generation

Bonuses

Certification

Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.

Your Instructor

Ritesh Kanjee

100k+ Subscribers YouTube

71k Students Augmented Startups

M(Eng.) Electronic University of Joburg

14k+ Followers LinkedIn

Pricing

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YOLOv7 PRO Course

$149

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[Module 1]
Introduction

[Module 2]
Training Custom YOLOv7

[Module 3]
YOLOv7 + Tracking Intro

[Module 4]
YOLOv7 Conversion

[Module 5]
Flask Integration

[Module 6]

App 1 - Security with Dashboard

App 2 - Mining Safety Check

App 3 - Retail Heat Maps

App 4 - Agriculture Count Fruit

App 5 - Traffic, Vehicle Counting, Tracking

App 6 - License Plate Recognition

App 7 - Gaming Aimbot with YOLOv7

App 8 - Whiteboard Drawings generation

[Module 7]
Pose Estimation

[Module 8]
Object Segmentation

LIFETIME ACCESS to YOLOv7 PRO

VIP Technical Support via Chat

1x Private 1-on-1 Coaching Session with Ritesh Kanjee

ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

WhatsApp, Discord & Facebook Community

Certificate of Completion

[Bonus 1] Neural Networks Fundamentals Nano Course

[Bonus 2] Accelerate Deep Learning on RPi Course

[Bonus 3] Project EDITH AI Glasses Course

[Bonus 4] Face Detection Attendance Project in PyQt (1-hour)

[Bonus 5] YOLOv5 Chess Piece Colab Training and Testing

[Bonus 6] 5 Hour OpenCV Python Course

[$299]

ENROLL at 50% OFF

It will cost you:

$5900+

Without this Course, to hire a developer to develop an end-to-end YOLOv7 for you. That is 73+ hours at $40 per hour.

$149[$974]

Early Bird Prices

By enrolling in this course, you save thousands of dollars and you are able to develop custom model for your own clients.

FAQ

When will the Course be Released

Modules 1 to 3 are completed

1st August

The YOLOv7 Course Development commences. During this time lectures will be created and rolled out to you as they are completed.

1st Aug - Oct 2022.
The beta version of the course will be completed. Feedback on lessons is collected and updates are rolled out based on your feedback.

Aug-Oct 2022

The beta version of the course will be completed. Feedback on lessons is collected and updates are rolled out based on your feedback.

31st Oct 2022
The course is finalized with updates to the course.

Will I have lifetime access to this course?

➤ For the Once off courses YES! It’s yours forever!

What happens once I buy this course?

➤ You’ll get an email from me in which I will give you access to the courses. 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.

This course is WRONG for you if…

➤ 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.

This course is RIGHT for you if…

➤ 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.

“Price is too much I can’t afford it…”

➤This is THE MOST UPDATED YOLOv7 Course on this Planet!! This is the only course that teaches you the fundamentals of YOLOv7, how to implement, train and infer a YOLOv7 Architecture from scratch.

➤ 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.

➤Or you could just hire a developer to build a computer vision dashboard for you for around $5900, which is more than 10x the price of this course. Even after all this, you may be left clueless as to what your developer has done. In the course, we explain every step of the process.

➤ 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 Computer Vision developer?

➤ Some 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.

Should I enroll if I'm a beginner?

➤ It may be an uphill battle at the start but if you persevere, then the your skills will be so worth it.

➤This course is applications focused, so you wont have to worry about all the deep Learning jargon and concepts. We make it easy for you.

➤We'll start you off by getting you up and running and then slowly ramp up until you are comfortable with the projects.

➤ You will be provided with a technical support team to help you when you get stuck on any particular lesson within the scope of the course. They normally respond within 24-48 hours.

➤You'll be a YOLOv7 AI ninja in no time, and be able to graduate to the more advanced content.

Should I enroll if I am a seasoned developer?

➤We start off with the fundamentals but gradually progress to more complex projects.

➤Even if you are already experienced in computer vision, this course will save you a lot of time with code, projects and tutorials relating to robust object detection and multi-object tracking and web-app building.

➤You can apply the code straight towards employment, contracts and future innovations

➤I provide you with ready to use Code, Datasets and models of all the projects included in the course.

Why do I have to pay for the YOLOv7 Course?

Augmented Startups is my full time job and as much as I would love to make tutorials for free, at the end of the day, I have to put food on the table. The most sustainable way to bring you the best content is charge for the advance topics in computer vision that I truly believe that you will benefit from my courses and will help improve your chances of getting a job or attracting clients with the skills that you learn in this course.

The courses that I teach will also help you bridge the gap of what you learn in University and what is required for you to get a job in industry. So if you are a student, this course is your investment into getting that job that will pay you 10x the cost of the course.

Why code in Python?

➤Python is simple to read, understand, learn and code.

➤It improves productivity.

➤It is versatile and quick to develop

➤Has a large community for support.

➤Python supports a ginormous set of libraries

Which Option should I choose?

➤If you would just like to learn the basics of YOLOv7, then you can enroll just in the Starter Bundle.

➤If you want to be the best and acquire comprehensive knowledge in Image Segmentation, then the PRO version will suit 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.

Which Operating System should I use?

➤ We will run linux only. You can use a virtual machine with CUDA support or have a dual-boot into Ubuntu.

➤ On Google Colab

Where can I apply my knowledge?

You can apply this knowledge as YOLOv7 Programmer and within the 4th Industrial Revolution

I have another question.

➤ If you have any other questions, please send me a message via LinkedIn, and I'll get back to you ASAP.

https://www.augmentedstartups.info/linkedin

Will I receive a certificate for this training?

Yes, if you have purchased YOLOv7, you will receive a legitimate and signed certificate upon completion of the course and assignments. You will be able to present this to your future or present employer or client. You will be able to post this also on LinkedIn.

Is there a Refund Policy?

Currently we do not offer refunds. This is because we are building a COMMUNITY of ACTION-TAKERS and we have found that many people simply purchase products/courses and then refund before the trial period. We only want those who are COMMITTED to success inside this community

Also since this course offers non-tangible, irrevocable goods we do not provide refunds after the product is purchased, which you acknowledge prior to purchasing any product on the Website. Please make sure that you've carefully read service description before making a purchase.

Contacting us

If you would like to contact us concerning any matter relating to this Refund Policy, you may send an email to [email protected]

What Skills Do I Require for this Course?

You just need basic Python and OpenCV programming skill to comprehend this course.

Do you provide other Payment Options?

Yes, we now provide payments via crypto-currency! Contact me via [email protected] or LinkedIn www.augmentedstartups.info/linkedin to learn more.

We can also do payment via Visa/Mastercard.

There are also instalment payment plans available.