generative | Generative art projects with Processing python Java | Animation library
kandi X-RAY | generative Summary
kandi X-RAY | generative Summary
I used a customized template to streamline adding and rendering p5.js sketches in Github pages. For more information check How to use Github pages to render p5.js sketches.
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Lines of Code : 18
License : No License
Copyimport torch
from vit_pytorch.max_vit import MaxViT
v = MaxViT(
num_classes = 1000,
dim_conv_stem = 64, # dimension of the convolutional stem, would default to dimension of first layer if not specified
dim = 96, Community Discussions
Trending Discussions on generative
QUESTION
I am working on converting a tufte-LaTeX book to tufte-Bookdown using the tufte and msmbstyle packages. I have a whole bunch of sidenotes and would like the numbering to restart with each chapter so I don't reach like 400 by the end of the book.
I found this CSS code in the Bookdown GitHub for doing this with regular Bookdown, which uses footnotes/endnotes. However, my attempts to modify the code to work with sidenotes have failed. This is my current CSS addition, which just takes that code and drops in sidenote or sidenote-number (which Inspect Element suggests are the correct tags) where footnote originally was:
ANSWER
Answered 2021-May-26 at 05:27I ended up paying someone to solve this. They wrote some JavaScript that will fix it. The following code can be saved as an HTML file, and added to the book with
QUESTION
GOAL to use a pre trained model from a TensorFlow example project more specifically Tensorflow hub
1.
- To do that am trying to install
tensorflow_hubwith the following command:conda install -c conda-forge tensorflow-hub conda listOUTPUT: .... tensorflow-hub 0.12.0 pyhca92ed8_0 conda-forge ....- To a sagemenaker EC2 instance's anaconda environment.
- The whole installation process runs thru without any error, but when I am trying to import the package it act like it is not installed
import tensorflow_hub as hub - ERROR
ANSWER
Answered 2021-May-26 at 14:06- I just installed from the Jupiter notebook
pip install --upgrade tensorflow_hub- this did not overwrite all the other files somehow.
- The base environment was a SageMaker
conda_tensorflow2_p36 - you can activate it as
conda activate tensorflow2_p36
QUESTION
I am using Firebase Realtime Database to allow people in an art gallery to use their mobile phones to change a piece of generative art. The artwork is projected on the gallery wall and includes a QR code. When the user scans the QR code they go to a website which has a P5JS javascript app which they can enter some data and then press send. This sends it to the database. In the gallery another P5JS program is listening to the database and hears the new message and can display the data.
I am having problems with whitelisting.
The mobile phone app sits on a website www.website1.com/mobile/index.html
in the gallery the program is at this address www.website1.com/gallery/index.html
I want to make sure that the database can only read data from the website1 domain. How can I stop it receiving data from www.website2.com ?
There is no authentication involved - the system is very open.
I have tried to follow the instructions on
Google Developer Console > APIs and Services > Credentials > (found the right) API Key > and set HTTP Referrers to
and waited 5 minutes......but nothing happened. I can still send data to the database from website2.
In Firebase I have added the website1 domain to Authentification > Sign In Method > Authorized domains
although I don't really expect that to help - as I said there is no Authentication required.
What am I missing?
Thanks
...ANSWER
Answered 2021-May-22 at 19:24I see here two potential solutions. You can decide what fits your need the best.
The first one would be to use the new App Check feature in Firebase. With that you can restrict the whole databse to only specific domains, apps and custom providers. You can find instructions for the setup here.
If you need a more customisable solution where for example one domain needs only read access and the other read and write I would recommend to restrict the whole realtime database for read and write and create a REST API with Firebase Cloud Functions. With those you can restrict access to for specific domains and IP Adresses. You have full control as if you are using an express server. You can even use express to make the setup easier.
QUESTION
I've boiled down the logic of something I'm struggling to figure out (new to Python, been a long time since I've done any coding). I have the code below, the intention is to roll a d6 limit times (in this case 300) and then over a defined number of iterations generate a file with the resulting dice rolls for each 300 iterations into its own file.
What I get is n (loops) files with the same data in each one. So right now this will return random1.txt, random2.txt and random3.txt and all will have the same values in them.
Obviously I need to reinitialize resultsin some way at the start of each iteration of the parent while loop (while loops >=1:), I just can't figure out how.
If anyone can take pity on a blundering artist I'd appreciate it! This is part of an art project I'm working on to make generative art with an axidraw if anyone is curious.
...ANSWER
Answered 2021-May-15 at 08:29Some code for a blundering artist :-)
QUESTION
I'm an artist trying my hand at some generative art, in the very early learning stages. I have some code that does what's expected on the first iteration, it makes a small svg file consisting of dozens of stacked circles, like tree rings:
...ANSWER
Answered 2021-May-15 at 05:42I rewrote it, this worked for me:
QUESTION
what neural network is used in this generative models code?
...ANSWER
Answered 2021-May-13 at 19:12I think its CNN , If u put your full code it may easy to find
Batch Normalisation maximum used in conventional Neural network only
QUESTION
I can't find anything on this in the documentation or on SO yet…
Given:
...ANSWER
Answered 2021-May-12 at 16:40When you do (list_for_applied_func), you are simply passing list_for_applied_func, you need to actually pass a tuple that contains a list, so you can try:
QUESTION
Long time lurker, first time poster, hope someone can help!
I am an artist trying to wrap my head around generative/procedural design using numpy and various assorted tools in jupyter notebook.
I have some code https://github.com/GreySoulX/Circle-generator/blob/main/BrokenCircles.ipynb (see below) that will generate a number of concentric circles of random radius and output them as SVG code. I can get it to display, and I can even get the SVG output with the basic code, but when put it all in a functions and call it with interactive() my saved files come out empty rather that what is shown in my notebook with widgets.VBox() .
Any idea where I can fix this? Am I just missing this by a million miles?
...ANSWER
Answered 2021-May-12 at 03:24This is an issue with how the inline backend handles closing figures and what plt.savefig does internally. The way static figures are displayed in notebooks (i.e. when not using ipympl) is that at the end of cell execution (or in this case at the end of the callback from the slider) the current figure is closed and displayed.
However plt.savefig expects there to be a currently open figure as it calls plt.gcf (get current figure) internally which either grabs the most recently active figure or creates a new empty figure if no figures are active.
So when you did this not in functions the figure wasn't closed until the cell was finished executing and so plt.savefig was able to find the figure. However when you moved to functions it was no longer able to find the current figure.
There are two basic solutions to this.
Solutions 1. Globalfig
You can lift figure to the global scope and use fig.savefig - this makes sure that both the plot updating method and the saving method are refering to the same fig.
QUESTION
below is my code which is mostly the same as the code found here: https://keras.io/examples/generative/lstm_character_level_text_generation/
It has worked for one day going through all epochs, however, today it runs but errors out at random epochs with the AttributeError error saying that string doesn't have the ndim attribute which makes no sense as the data being inputted and converted into a numpy array from lines 51-56 is the same as before when it worked, so how is it changing this data to be a string? And how has this changed over the course of a day with no tampering of the input data or code for taking in the data.
...ANSWER
Answered 2021-May-09 at 18:18You're declaring x twice in this code. First here
QUESTION
I have implemented a variational autoencoder with the Keras implementation as an example (https://keras.io/examples/generative/vae/). When plotting the training loss I noticed that these were not the same as displayed in the console. I also saw that the displayed loss in the console in the Keras example was not right considering total_loss = reconstruction_loss + kl_loss.
Is the displayed loss in the console not the total_loss?
My VAE code:
...ANSWER
Answered 2021-Apr-28 at 09:42Well, apparently François Chollet has made a few changes very recently (5 days ago), including changes in how the kl_loss and reconstruction_loss are computed, see here.
Having run the previous version (that you can find at the link above), I significantly reduced the difference between the two members of the equation, even reducing with increasing epoch (from epoch 7, the difference is <.2), as compared to your values.
It seems that VAE are subject to reconstruction loss underestimation, which is an ongoing issue, and for that, I encourage you to dig a bit in the litterature, with e.g. this article (may not be the best one).
Hope that helps! At least it's a step forward.
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