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Moving an image from one activity to another
I have a number of activities in my app. I’d like to be able to move an image from one activity to another one using Intent.
What are the steps I need to perform to achieve that.
This is what I have so far:
Intent intent = new Intent(ScreenOne.this, ScreenTwo.class);
Intent intent = new Intent(ScreenTwo.this, ScreenOne.class);
startActivity(intent);
This doesn’t work. I try to link
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And shows the model of a climber:
A:
This is done using the renderfarm.
First you have to setup the farm.
From the renderfarm menu choose setup.
On the center of the form you will have a default loader that will automatically load the model.
Now open the properties of the light and go to the scene section and enter a scene node ID.
The document says on the bottom of the page that if you have multiple lights that you want to make 3d it is preferable to use scene nodes.
Also you will have to set the renderfarm settings and enter the host and the view port.
In your example you have 5 lights and 2 are front lights.
You will have two node for each light. one for the light as 2d light and one as 3d light.
The 3d render farm settings should look like this:
Now you can render the lights as in your example.
Using the render farm you can also render the environment.
For example if you have an env node you can render that and also check out the progress in the viewport.
This is not the fastest way to render but it is very good for rendering large scale projects.
You can also render the scene nodes to a video.
—
abstract: |
We give an overview of the steps we took in order to analyze a set of publicly available streaming log data coming from credit card transactions, in order to classify daily payments.
We obtained high quality labeled data from a small proportion of the log files. Using this data we were able to automatically discover novel, semantically coherent patterns in the data. Our key insight is that streaming log data can be fitted to the class of models where items are represented by a set of ordered tuples. This change of representation brings significant advantages in terms of computational efficiency, scalability and interpretability. We then described our procedure for inferring a set of large unlabeled data. A first application of our approach shows a good trade-off between accuracy and time.
author:
– Lina Bini
– Andrea Ferretti
– Marco Pistoia
bibliography:
– ‘biblio.bib’
title: |
Inference of Lattices over Streaming Log Data:\
Experiments on Card Transactions
—
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