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Catalog / All levels / Computer Vision and Deep Learning with OpenCV and Python - Build 15 Projects
Mammoth Club All levels 16 sections 51 lectures

Computer Vision and Deep Learning with OpenCV and Python - Build 15 Projects

Learn a new skill to snag a new job now!

Created by John Bura
01
Skill level
All levels
02
Sections
16
03
Lectures
51
04
Instructor
John Bura
What's inside

This course includes.

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16
Sections
✓
51
Lectures
✓
51
Resources
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

16 sections · 51 lectures
+ 01 overview 2 lectures
01 Course Overview - Opencv Locked
02 What You'll Need Locked
+ 02 Full course source files 2 lectures
Source Files Part 1 Locked
Source Files Part 2 Locked
+ 03 Analyze Images with OpenCV 3 lectures
01 Detect Edges In An Image Locked
02 Detect Contours In An Image Locked
03 Detect Corners In An Image Locked
+ 04 Restore Images with Computational Photography 1 lecture
Restore A Damaged Image Locked
+ 05 Detect objects in images 4 lectures
01 Detect Objects In An Image With Masking Locked
02 Detect Faces In Images Locked
03 Extract Foreground In An Image Locked
04 Find Object In Image With Template Matching Locked
+ 06 Machine learning and neural networks introduction 4 lectures
01 What Is Machine Learning Locked
02 What Is Deep Learning Locked
03 What Is A Neural Network Locked
04 What Is Ml-Agents Locked
+ 07 Read text in an image with OCR and Tesseract 4 lectures
01 Extract Text From An Image With Tesseract Locked
02 Improve Accuracy With Thresholding Locked
03 Change Perspective Of An Image With Foreign Text Locked
04 Extract Foreign Language Text From An Image Locked
+ 08 Build your first neural network with OpenCV 3 lectures
01 Generate Data Locked
02 Build An Artificial Neural Network Locked
03 Visualize Model Results Locked
+ 09 Object detection with OpenCV Deep Learning 4 lectures
01 Load YOLO Dnn Model Locked
02 Build A Neural Network With Opencv Locked
03 Print Out Detected Objects Locked
04 Outline Objects In The Original Image Locked
+ 10 Outline objects in a video 3 lectures
01 Outline Objects In A Video Locked
02 Draw Contours On Video Locked
03 Save New Frames As A Video Locked
+ 11 Detect faces in video 4 lectures
01 Load A Video From Drive Locked
02 Detect Faces In Video Locked
03 Detect Eyes In Video Locked
04 Save New Frames As A Video Locked
+ 12 Track a color in videos 2 lectures
01 Track Color In A Video Locked
02 Save New Frames As A Video Locked
+ 13 Detect lanes for autonomous vehicle computer vision 4 lectures
01 Load A Driving Dash Cam Video Locked
02 Process Each Video Frame Locked
03 Outline Lanes Detected Locked
04 Save New Frames As A Video Locked
+ 14 Build a motion alert video monitoring system 4 lectures
01 Load A Video From Drive Locked
02 Detect Objects In A Video With Contours Locked
03 Detect When Motion Begins And Ends Locked
04 Record Each Time Motion Begins Locked
+ 15 Detect emotion in a video 1 lecture
Detect Emotion In A Video Locked
+ 16 Swap faces with machine learning 6 lectures
01 Load Images From The Web Into Colab Locked
02 Get Facial Landmarks From Image Locked
03 Build A Matrix From Landmark Points Locked
04 Draw A Mask Over Facial Landmarks Locked
05 Build A Warped Mask Locked
06 Combine Face Masks Locked
Description

About this course.

Welcome to the Computer Vision and Deep Learning with OpenCV and Python course! This comprehensive program is designed to empower you with the knowledge and skills needed to excel in the rapidly evolving field of computer vision.

Throughout this course, you will embark on a hands-on journey to learn how to harness the power of OpenCV and Python for developing cutting-edge computer vision applications. With the guidance of expert instructors, you will build 15 real-world projects that span various domains, such as image recognition, object detection, facial recognition, and more.

By diving into the world of deep learning, you will explore powerful techniques like convolutional neural networks (CNNs) and transfer learning, which will enable you to tackle complex computer vision tasks with ease. Additionally, you will leverage the OpenCV library to perform image processing, feature extraction, and other essential tasks in computer vision.

This course is ideal for aspiring data scientists, computer vision engineers, and anyone passionate about exploring the intersection of artificial intelligence and image analysis. By mastering the skills taught in this course, you will position yourself as a highly sought-after professional in today's job market.

Don't miss this opportunity to learn a new skill that can open doors to exciting career opportunities. Enroll now and embark on a transformative journey into the world of computer vision and deep learning with OpenCV and Python. Build 15 impressive projects and set yourself apart in the job market today!

Join 1.5 million+ students in high-quality courses featured at Harvard

  • Lifetime access that never expires
  • Project-based curriculum to superboost your portfolio
  • Graduation certificate for every course
  • Absolute beginner-friendly
  • All source files provided
Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

Ready to start building?

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