Build Neural Networks for Computer Vision with Python
Created by Team Mammoth
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72 lectures
01
Skill level
All levels
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Sections
16
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Lectures
72
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Instructor
Team Mammoth
What's inside
This course includes.
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16
Sections
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
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Course content
Curriculum & lectures.
+ 01 overview 4 lectures
01 Course Overview - Opencv
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02 What You'll Need
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Source Files Part 1
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Source Files Part 2
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+ 02 Python Language Fundamentals 21 lectures
00. Intro
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01. Introduction To Python
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02. Variables
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02b. Variables Examples
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03. Type Conversion Examples
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04. Operators
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05. Operators Examples
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06. Collections
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07. Lists
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08. Multidimensional List Examples
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09. Tuples Examples
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10. Dictionaries Examples
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11. Ranges Examples
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12. Conditionals
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13. If Statement Examples
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14. If Statement Variants Examples
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15. Loops
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16. While Loops Examples
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17. For Loops Examples
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18. Functions
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19. Functions Examples
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+ 03 Analyze Images with OpenCV 3 lectures
01 Detect Edges In An Image
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02 Detect Contours In An Image
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03 Detect Corners In An Image
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+ 04 Restore Images with Computational Photography 1 lecture
Restore A Damaged Image
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+ 05 Detect objects in images 4 lectures
01 Detect Objects In An Image With Masking
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02 Detect Faces In Images
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03 Extract Foreground In An Image
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04 Find Object In Image With Template Matching
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+ 06 Machine learning and neural networks introduction 4 lectures
01 What Is Machine Learning
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02 What Is Deep Learning
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03 What Is A Neural Network
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04 What Is Ml-Agents
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+ 07 Read text in an image with OCR and Tesseract 4 lectures
01 Extract Text From An Image With Tesseract
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02 Improve Accuracy With Thresholding
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03 Change Perspective Of An Image With Foreign Text
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04 Extract Foreign Language Text From An Image
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+ 08 Build your first neural network with OpenCV 3 lectures
01 Generate Data
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02 Build An Artificial Neural Network
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03 Visualize Model Results
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+ 09 Object detection with OpenCV Deep Learning 4 lectures
01 Load YOLO Dnn Model
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02 Build A Neural Network With Opencv
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03 Print Out Detected Objects
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04 Outline Objects In The Original Image
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+ 10 Outline objects in a video 3 lectures
01 Outline Objects In A Video
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02 Draw Contours On Video
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03 Save New Frames As A Video
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+ 11 Detect faces in video 4 lectures
01 Load A Video From Drive
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02 Detect Faces In Video
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03 Detect Eyes In Video
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04 Save New Frames As A Video
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+ 12 Track a color in videos 2 lectures
01 Track Color In A Video
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02 Save New Frames As A Video
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+ 13 Detect lanes for autonomous vehicle computer vision 4 lectures
01 Load A Driving Dash Cam Video
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02 Process Each Video Frame
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03 Outline Lanes Detected
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04 Save New Frames As A Video
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+ 14 Build a motion alert video monitoring system 4 lectures
01 Load A Video From Drive
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02 Detect Objects In A Video With Contours
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03 Detect When Motion Begins And Ends
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04 Record Each Time Motion Begins
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+ 15 Detect emotion in a video 1 lecture
Detect Emotion In A Video
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+ 16 Swap faces with machine learning 6 lectures
01 Load Images From The Web Into Colab
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02 Get Facial Landmarks From Image
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03 Build A Matrix From Landmark Points
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04 Draw A Mask Over Facial Landmarks
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05 Build A Warped Mask
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06 Combine Face Masks
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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