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Computer Vision and Deep Learning with OpenCV and Python - Build 15 Projects
Course Overview - Rendered
01 Course Overview - Opencv (4:51)
02 What You'll Need (2:38)
Course Overview - Source File
Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:25)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
Source Code
Analyze Images with OpenCV
01 Detect Edges In An Image (8:19)
02 Detect Contours In An Image (11:23)
03 Detect Corners In An Image (9:37)
Analyze Images
Restore Images with Computational Photography
01 Restore A Damaged Image (18:57)
Computational Photography
Detect objects in images
01 Detect Objects In An Image With Masking (15:39)
04 Find Object In Image With Template Matching (12:27)
03 Extract Foreground In An Image (18:30)
02 Detect Faces In Images (11:31)
Machine learning and neural networks introduction
01 What Is Machine Learning (5:26)
02 What Is Deep Learning (7:42)
03 What Is A Neural Network (8:47)
04 What Is Ml-Agents (5:16)
Source Files
Read text in an image with OCR and Tesseract
01 Extract Text From An Image With Tesseract (13:31)
02 Improve Accuracy With Thresholding (8:10)
03 Change Perspective Of An Image With Foreign Text (15:30)
04 Extract Foreign Language Text From An Image (8:03)
Build your first neural network with OpenCV
01 Generate Data (7:09)
02 Build An Artificial Neural Network (9:16)
03 Visualize Model Results (14:30)
SourceFiles
Object detection with OpenCV Deep Learning
01 Load Yolo Dnn Model (3:18)
02 Build A Neural Network With Opencv (7:44)
03 Print Out Detected Objects (6:44)
04 Outline Objects In The Original Image (21:57)
Source Files
Outline objects in a video
01 Outline Objects In A Video (10:55)
03 Save New Frames As A Video (5:04)
Outline objects in a video
02 Draw Contours On Video (16:30)
Detect faces in video
01 Load A Video From Drive (7:39)
02 Detect Faces In Video (10:32)
03 Detect Eyes In Video (6:40)
04 Save New Frames As A Video (7:40)
Detect faces in video
Track a color in videos
01 Track Color In A Video (20:06)
02 Save New Frames As A Video (7:14)
Track a color in videos
Detect lanes for autonomous vehicle computer vision
01 Load A Driving Dash Cam Video (4:05)
02 Process Each Video Frame (14:54)
03 Outline Lanes Detected (12:21)
04 Save New Frames As A Video (13:52)
Source Files
Build a motion alert video monitoring system
01 Load A Video From Drive (5:28)
02 Detect Objects In A Video With Contours (10:05)
03 Detect When Motion Begins And Ends (15:17)
04 Record Each Time Motion Begins (16:36)
Source Files
Detect emotion in a video
Detect Emotion In A Video (12:11)
Source Files
Swap faces with machine learning
01 Load Images From The Web Into Colab (3:00)
02 Get Facial Landmarks From Image (11:55)
03 Build A Matrix From Landmark Points (10:08)
04 Draw A Mask Over Facial Landmarks (7:07)
05 Build A Warped Mask (4:09)
06 Combine Face Masks (8:15)
Source Files
01 Course Overview - Opencv
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