Join Simon Allardice for an in-depth discussion in this video Reading image metadata, part of Code Clinic: Swift.
- There are many Apple frameworks and classes that deal…with images in some way, we have Core Image and ImageKit,…and vImage and Core Graphics and Quartz 2D and MediaLibrary.…On iOS we also have AssetsLibrary and the newer Photos and…PhotosUI frameworks, but most of these help…us show an image, or resize it, or process it in some way,…or view and manage items in the users photo library,…but I don't care about any of this.…I actually don't care about seeing any of these images.…We're not interested in the image visual data, we're only…interested in the images' Metadata,…and there is not a lot of options for doing that.…
Now there's one distinction I should make:…we might be approaching things differently if the photos had…already been imported into iPhoto or the newer Photos app…because particularly on iOS there are frameworks intended…to deal with assets that are already stored…in the users Photo library, but for us…that's not really helpful.…Those photos are just in a regular folder.…We're not using any of this, we're gonna go…
Simon introduces challenges and then provides an overview of his solutions in Swift. Challenges include topics such as statistical analysis, searching directories for images, and accessing peripheral devices.
Skill Level Intermediate
1. Problem One: Exploring Lake Pend Oreille
2. Problem Two: Image Analysis
3. Problem 3: Eight Queens
4. Problem 4 - Accessing Peripherals
5. Problem 5 - Recursion and Directories
6. Problem 6 - Building the Web
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.