Implementation on orange tool how to convert into python code (Inception v3 and logistic regression) - logistic-regression

I am trying to turn this orange tool implementation into python code in jupyter notebook. I am using inception v3 for image embeddings and logistic regression for classification. Resources for the source code and other helping material or the implementation code itself will be appreciated. Attached below are images for reference thank you.
Orange tool implementation
imbedding model used

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USD + Hydra as a replacement of SceneKit

On the WWDC'22 talk, Apple presents an approach to work natively with USD in Xcode. Also, Apple published this code to download. To be able to use this USD + Hydra as a replacement of SceneKit, how would we do to interact with the UI?
If anyone can help with a function like apply material in SwiftUI would be much appreciated!
...it's not just about SceneKit...
Pixar's Hydra is rather an imagery processing library (a part of USD distribution) which connects scene delegates (SD) and render delegates (RD), allowing you to potentially use any contemporary raytraced renderer. In other words, Hydra enables communication between multiple scene graphs and multiple renderers. You can run Hydra with RealityKit, SceneKit or Metal.
Professional software such as Maya, Nuke and Houdini are already using Hydra.

Mimic Matplotlib's "Zoom-to-Rectange" Function

Is Data Studio able to mimic Matplotlib's "Zoom-to-Rectange" Function? For example, in Matplotlib I can plot the following data:
Using the "Zoom-to-Rectange" feature I can zoom in on the chosen range to get the following:
Is this possible in Data Studio?
If you wanted to use the Community Visualization feature (currently in whitelist-only), you'd be able to implement that functionality yourself using something like d3.js.
Link to the feature documentation.

cairographics glade gtk3 c programming

I'm trying to develop an app using GTK3 + Glade and following examples and suggestions on internet I can obtain a first prototype of the application.
Now I want to add some plots in the app. I found that, in this contest, the Cairo library is the right solution. For the Cairo library I found this tutorial http://zetcode.com/gfx/cairo/
I tried to merge GTK3, Glade and Cairo using the C language but I'm not sure to use this tools in the right way.
Could you suggest me an example where using these tools is built an app that, e.g. pushing a button appear the plot of a curve?
Thank you
In Glade, you just need to add a GtkDrawingArea and you draw in it using cairo. Give a look at my gtk3-graph sample application that uses GTK+ 3 and cairo to plot a curve.

DELPHI OPENCV : SURF detection against a database

I am an OpenCv newbie,and i just want to built something like this example :
OPENCV: SURF detection against a database of 20000 images
I just want to know what are the steps to follow to achieve this, i managed to integrate OpenCv 2.4.13 with Delphi Berlin 10.1.
It seems to be working i even tried some examples that i found here : https://github.com/Laex/Delphi-OpenCV
Basically what i wanna do is realtime detection against a database, using a webcam as shown in the previous video.

Is there a library for SCNMaterials in swift?

I am pretty new to working with materials in SceneKit, and am finding generating materials pretty difficult. Is there any sort of library of material examples online somewhere? Thanks :)
Because SceneKit has OpenGL roots, you can replicate most simple OpenGL materials in SceneKit. See, for example, https://en.wikibooks.org/wiki/Blender_3D:_Noob_to_Pro/Every_Material_Known_to_Man and http://devernay.free.fr/cours/opengl/materials.html.
Simon Gladman has a simple SceneKit material editor on Github that is useful if you're tinkering: https://github.com/FlexMonkey/SceneKitMaterialEditor.
More complicated and realistic looking materials generally require the use of shaders. I'm not aware of a SceneKit shader library.

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