localmodel | LocalModel allows you to use a simple model structure

I have a hierarchical type Category, that I want to put into TreeView. Nested level count is unlimited. Data is stored in DB with hierarchyid field.

Class Definition

I am trying to setup an ImageAnalyzer with my Android app so I can run object classification using Google's ML Kit API. The issue I am currently facing, as the title suggests, is constantly seeing the error "Failed to initialize detector".

I've reread this tutorial about three times now and followed this post about someone facing the same error (although for a different reason) to no avail. I've also made sure everything with the CameraX API (except the ImageAnalyzer code that I will show in a second) works as expected.

As mentioned in the ML Kit documentation, here is the code I have regarding setting up a LocalModel, a CustomObjectDetectorOptions, and an ObjectDetector:

I got a model which is looking like this and trained it:

I am trying read the height from the heightmap on both CPU and GPU, but I receive two different values. I loaded the heightmap as both image data on CPU and texture on GPU using:

This is an extension of a question I asked before.

I'm using the recent version of MLKit Object Detection (which doesn't require firebase). I'm using a custom model, and CameraX, to detect objects and label them/get info.

Right now, with the code I have, it can detect that objects are present in the area, but:

1. No labels or bounding boxes are showing up;
2. It is not detecting more than one object at a time;
3. Once it detects an object, the app won't "change" (i.e when I move the phone, to try to detect another object, nothing in the display changes.

Here is my code:

So I have an Android app where a user can take a picture of a bird using the camera app and it will classify the bird. I followed the documentation for label images with a custom model for Android and it's not working. I have this piece of code in my onActivityResult:

I am using .net core 3.1 in VS2019. I have a user control containing a ListView listing a set of items of a price list, each of them has a Cost, Markup (percent), a discount (percent) given by a related entity called Promotion and the SalePrice, FinalPrice and PromoDescription fields computed by converters. For example, FinalPrice equals SalePrice if the item does not have a promotion, or it is (SalePrice - SalePrice*item.Promotion.Discount/100.0) otherwise.

BTW, all of these entities belong to a EF Core model with lazy loading with proxies, and all the collections are ObervableCollection, which are loaded like the following:

I'm working on a audio classification model that classifies audio based on it's genre.

The model takes in a few audio features like spectral centroid, etc and produces outputs such as classical/rock/etc. Input shape -> [1,26] It's a multi-label classifier. I have a Keras model which I've converted to a TFLite model for use on mobile platforms. I have tested the initial model and it works with a pretty decent accuracy, the tflite model when run with Python on my PC works just as well.

When I deploy this to Firebase's ML Kit and use it with the Android API, it produces a single label/class as an output for all kinds of input. I don't think it's a problem with the model as it works fine in my Jupyter notebook. I don't understand how it can produces different inference for the same input?

Keras model:

It seems a resolved question but after trying several answers posted here I could not resolve my problem. Here it is:

I want to set (by binding) the property IsReadonly of a TextBox to a property of the main view model which contains the type to which the TextBox is already bound to. Also de text box is in a DataTemplate bound to a type.

Trying this produces "Property 'IsReadOnly' is not found" which has sense because the data template is bound to a type that doesn't have it: