Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Create a Raspberri Pi Smart Security Camera with Python
Introduction
Intro (3:54)
Project Files
Image Processing Basics
1-1 Images (7:45)
1-2 Matrices (9:10)
1-3 Matrix Addition and Subtraction (6:54)
1-4 Constraints on Matrix Addition and Subtraction (3:22)
1-5 VirtualBox (19:08)
1-6 Numpy Matrices (3:38)
1-7 Scalar Multiplication (7:23)
1-8 Numpy Matrix Operations (7:50)
1-9 OpenCV Basics (8:24)
1-10 Color Models (12:03)
1-11 Colorspace Conversion (5:59)
1-12 Brightness and Contrast (14:20)
1-13 Brightness and Contrast (6:57)
1-14 Kernels (8:24)
1-15 Intro to Convolution (9:21)
1-16 Convolution Example (9:18)
1-17 Convolution Detailed Example (8:34)
1-18 Convolution (6:32)
Security Camera
1-1 Summation Notation (18:39)
1-2 Numpy Matrix Elements Sum (8:33)
1-3 L1 Norm (10:11)
1-4 Numpy L1 Norm (6:26)
1-5 Sum of Squared Errors (7:58)
1-6 Numpy Sum of Squared Errors (5:00)
1-7 Mean Squared Error (10:20)
1-8 Numpy Mean Squared Error (4:26)
1-9 Structural Similarity (9:49)
1-10 Comparison of MSE and SSIM (10:09)
Raspberri Pi
2-1 Raspberry Pi (5:19)
2-2 Handling Videos in OpenCV (16:18)
2-3 Frame-by-frame Security Camera (10:09)
2-4 Improved Security Camera (11:53)
2-5 Twilio (7:46)
2-6 Security Camera Notification with Twilio (11:00)
Conclusion
Conclusion (2:44)
2-6 Security Camera Notification with Twilio
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock