Computer Vision & Deep Learning with OpenCV and Python: Build 15 Projects

12 Hours

$19.99$75.00

You save 73%

81 Lessons (12h)

Course Overview - Rendered
01 Course Overview - Opencv4:51
02 What You'll Need2:38
Course Overview - Source File
Introduction to Python (Prerequisite)
00. Intro To Course And Python9:57
01. Variables19:19
02. Type Conversion Examples10:06
03. Operators28:54
04. Collections8:24
05. List Examples19:41
06. Tuples Examples
07. Dictionaries Examples14:26
08. Ranges Examples8:32
09. Conditionals6:43
10. If Statement Examples21:32
11. Loops29:42
12. Functions17:01
13. Parameters And Return Values Examples13:54
14. Classes And Objects34:11
15. Inheritance Examples17:29
16. Static Members Examples11:05
17. Summary And Outro4:08
Source Code
Analyze Images with OpenCV
01 Detect Edges In An Image8:19
02 Detect Contours In An Image11:23
03 Detect Corners In An Image9:37
Analyze Images
Restore Images with Computational Photography
01 Restore A Damaged Image18:57
Computational Photography
Detect objects in images
01 Detect Objects In An Image With Masking15:39
04 Find Object In Image With Template Matching12:27
03 Extract Foreground In An Image18:30
02 Detect Faces In Images11:31
Machine learning and neural networks introduction
01 What Is Machine Learning5:26
02 What Is Deep Learning7:42
03 What Is A Neural Network8:47
04 What Is Ml-Agents5:16
Source Files
Read text in an image with OCR and Tesseract
01 Extract Text From An Image With Tesseract13:30
02 Improve Accuracy With Thresholding8:10
03 Change Perspective Of An Image With Foreign Text15:30
04 Extract Foreign Language Text From An Image8:03
Build your first neural network with OpenCV
01 Generate Data7:08
02 Build An Artificial Neural Network9:16
03 Visualize Model Results14:30
SourceFiles
Object detection with OpenCV Deep Learning
01 Load Yolo Dnn Model3:18
02 Build A Neural Network With Opencv7:44
03 Print Out Detected Objects6:44
04 Outline Objects In The Original Image21:57
Source Files
Outline objects in a video
01 Outline Objects In A Video10:55
03 Save New Frames As A Video5:04
Outline objects in a video
02 Draw Contours On Video16:30
Detect faces in video
01 Load A Video From Drive7:39
02 Detect Faces In Video10:31
03 Detect Eyes In Video6:40
04 Save New Frames As A Video7:40
Detect faces in video
Track a color in videos
01 Track Color In A Video20:06
02 Save New Frames As A Video7:14
Track a color in videos
Detect lanes for autonomous vehicle computer vision
01 Load A Driving Dash Cam Video4:04
02 Process Each Video Frame14:54
03 Outline Lanes Detected12:21
04 Save New Frames As A Video13:52
Source Files
Build a motion alert video monitoring system
01 Load A Video From Drive5:28
02 Detect Objects In A Video With Contours10:05
03 Detect When Motion Begins And Ends15:17
04 Record Each Time Motion Begins16:35
Source Files
Detect emotion in a video
Detect Emotion In A Video12:11
Source Files
Swap faces with machine learning
01 Load Images From The Web Into Colab3:00
02 Get Facial Landmarks From Image11:55
03 Build A Matrix From Landmark Points10:08
04 Draw A Mask Over Facial Landmarks7:07
05 Build A Warped Mask4:09
06 Combine Face Masks8:15
Source Files

Build Real-Time Computer Vision Applications with 12 Hours of Content Python OpenCV & Deep Learning

Mammoth Interactive

4.2/5 Instructor Rating: ★ ★ ★ ★ ★ ★

Mammoth Interactive produces XBOX 360, iPhone, iPad, Android, HTML 5, ad-games, and more. It's owned by top-rated instructor John Bura. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design, and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to number 1 in Apple's app store. In his spare time, John likes to play ultimate Frisbee, cycle, and work out.

Description

This course focuses on hands-on Computer Vision with OpenCV from scratch to real-time project development. Computer Vision is the hottest field in the era of Artificial Intelligence. It is making enormous advances in Self-driving cars, Robotics, Medical as well as in various image correction apps. And OpenCV-Python is an appropriate tool for fast prototyping of Computer Vision problems. This course is perfect for anyone who wants to upgrade in Computer Vision and Deep Learning and be able to develop real-time computer vision applications.

4.5/5 average rating: ★ ★ ★ ★ ★ ★

Access 81 lectures & 12 hours of content 24/7
Refresh your knowledge on Python
Analyze images with OpenCV
Restore images with computation photography
Detect objects in images
Understand machine learning & neural networks
Read text in an image with OCR & Tesseract
Build your first neural network with OpenCV

Specs

Important Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: beginner
Have questions on how digital purchases work? Learn more here

Requirements

Any device with basic specifications

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

Your Cart

Your cart is empty. Continue Shopping!

Processing order...