Transforming Images , MIT Computational Thinking Spring 2021 | Lecture 2

Contents
00:00 Welcome
01:25 Announcement: Lectures will be nearly an hour
05:40 Transforming images
06:15 Downsampling/Upsampling
08:55 Linear Combinations (Combining images)
12:20 Element-wise multiplication (broadcast)
14:48 Convex Combinations
18:35 Fun with Photoshop
23:50 Image Filtering (convolutions)
27:17 Definition of convolutions and kernels
28:04 Computer Science: Complexity
28:51 Computer Science: Architectures, GPUs or Graphical Processing Units
30:50 Playing with a few kernels
41:17 Gaussian Filter
47:05 Computer Science: Data Structure: Offset Arrays
49:00 Discrete vs Continuous
50:55 Respect my Boundaries

[feraudyh]

I see the right side up corgi more than the upside down corgi.
I once saw a portrait of Margaret Thatcher that had been doctored: the eyes had been turned upside down and then the resulting image had been turned upside down, resulting in the eyes being in the usual orientation. With this picture Margaret Thatcher was very clearly recognisable, more than if the eyes had not been doctored in the first place.

[karthikravikanti]

Is it possible to reorder the lectures in the playlist so that they can played in order?

[dereathacross]

Corgi disagrees with the flipping of the sign on Edge detection at 33:52.

[ucoldplay]

Could you please don't add packages version in each notebook or don't add package? so we can decide if we need to download them or which version we want. thanks