Landmark | Social network smart-contract on the ethereum blockchain | Blockchain library

I guess detectWithStream is you want.

Official Doc: Faces.detectWithStream Method

From Java SDK, the List object will return if successful.

Head rotation is not available in the Pose detection feature today, but you can get the head rotation info from ML Kit face detection APIs. See https://developers.google.com/android/reference/com/google/mlkit/vision/face/Face#public-method-summary, which provides HeadEulerAngleX/Y/Z()

install your libraries in "C:\Program Files\Python39\python.exe" or any python environment

and try this:

You don't have to replace the jsdelivr, that piece of code is fine; also I think you need to reorder your code a little bit:

• You should put the faceMesh initialization inside the useEffect, with [] as parameter; therefore, the algorithm will start when the page is rendered for the first time
• Also, you don't need to get videoElement and canvasElement with doc.*, because you already have some refs defined

An example of code:

The documentation for axe-core states that you need to specify which rules you intend to test against using axe.run options.

Landmarks are discussed in WCAG 1.3.6., which is a "Level AAA" item. It appears that axe-core is only capable of testing against "Level A" and "Level AA." In your example, the item is not listed by the tool as a WCAG failure, but rather a best-practices recommendation. This may be why it isn't showing up in your other tools.

If you can easily implement this recommendation, then I'd say go ahead and do it. If not, I wouldn't let something like this stop my code from going into production. Landmarks are nice-to-have, but it's far more important that you meet all "Level A" requirements and as many "Level AA" requirements as you reasonably can.

It's worth noting that any automated accessibility testing tool is nothing more than a starting point for manual evaluation. These tools often generate tons of false positives (and sometimes miss important things!) because it's often not possible to algorithmically determine whether something is genuinely useful to human visitors.

I've also seen pages/apps that pass automated tools with no errors (Wave, Axe, etc.), but they are completely impossible to use with assistive technology.

strangely, the issue was gone after I start the tutorial all over from the beginning. SwiftUI Preview works as expect now

Try this,

I'm pretty sure the ! operator inverts the showFavoritesOnly operand and the || operator on landmark.isFavorite makes the statement true if either side is true

You are completely right.

but for some reason this what is supposed to happen as far as what is returned escapes me at the moment.

The filter(_:) method lets you filter an array (remove elements that don't satisfy a condition).

It takes in a closure, isIncluded. This closure is called once for each element in the array, with the current element passed into the parameter:

There is no "initialization" in that code. You are looking at a computed variable (property).

features is, in effect, a function that returns a value (with the word return omitted because it is a one liner); it just runs afresh each time you say features.

This could have been written as