zca | ZCA whitening in python | Machine Learning library

by mwv Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | zca Summary

zca is a Python library typically used in Artificial Intelligence, Machine Learning applications. zca has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

ZCA whitening in python

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Support

zca has a low active ecosystem.

It has 27 star(s) with 12 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 285 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zca is current.

Quality

zca has 0 bugs and 0 code smells.

Security

zca has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

zca code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zca is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

zca releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

zca saves you 20 person hours of effort in developing the same functionality from scratch.

It has 56 lines of code, 4 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed zca and discovered the below as its top functions. This is intended to give you an instant insight into zca implemented functionality, and help decide if they suit your requirements.

Calculate the whitening matrix .
Transform X .
Apply the transform to X .
Initialize the model .

Get all kandi verified functions for this library.

zca Key Features

No Key Features are available at this moment for zca.

zca Examples and Code Snippets

No Code Snippets are available at this moment for zca.

Community Discussions

Trending Discussions on zca

Feature Whitening generates same image

TensorFlow Image Augmentation: datagen - ValueError

Input 0 of layer sequential is incompatible with the layer: expected axis -1 of input shape to have value 3 but received input with shape

What is the sequence of preprocessing operations when using Keras ImageDataGenerator?

What is the best Neural Network architecture for mapping one input image to two outputs?

QUESTION

Feature Whitening generates same image

Asked 2022-Feb-09 at 07:57

I am looking at the feature whitening example shown here: How to implement ZCA Whitening? Python

I have implemented the code below but whenever I run it I get the same image in all 4 pictures and I am not sure why:

Code to read data (works fine)

...

ANSWER

Answered 2022-Feb-09 at 07:57

Whitening is performed on zero-mean data. This means, that the matrices are computed on the zero-mean data and that they should also be applied on the zero-mean data. If you don't do that, you will essentially see the transformed mean vector W*mean_imagein all images. If that dominates in magnitude, the pictures all look identical due to rounding effects. However, they aren't if you compute the differences between your images.

In code, you can see all that with

Source https://stackoverflow.com/questions/71044134

QUESTION

TensorFlow Image Augmentation: datagen - ValueError

Asked 2021-Dec-08 at 09:56

For TensorFlow 2.6, Python 3.9 & CIFAR-10 dataset, I am trying to train a simple Conv Neural Network model defined as follows:

...

ANSWER

Answered 2021-Dec-08 at 09:56

You just have to remove the parameter subset='training', since you did not set a validation_split in the ImageDataGenerator. Both parameters have to be set in order to work or you just do not use them:

Source https://stackoverflow.com/questions/70263348

QUESTION

Input 0 of layer sequential is incompatible with the layer: expected axis -1 of input shape to have value 3 but received input with shape

Asked 2021-Jun-20 at 11:23

it is my first time with tensorflow and I have problem that I can't solve. I found a lot of same problems on stackoverflow, but they don't help me. (probably I just don't know how use it correctly) I have a model, that trained by this algorithm

...

ANSWER

Answered 2021-Jun-20 at 11:23

There is a problem with your input shape obviously.

The architecture of your model is as below. So the input shape should be (1,400,400,3).

In the function prepare that feeds the data to the network, the output shape is (400,400,1). And that is why you get an error.

Source https://stackoverflow.com/questions/68054694

QUESTION

What is the sequence of preprocessing operations when using Keras ImageDataGenerator?

Asked 2021-Apr-03 at 14:13

When You use ImageDataGenerator, there are lots of preprocessing functions given and we can pass our own preprocessing input too. Let us suppose we use MobileNet as a pre-trained model and we'll use the corresponding preprocesss_input function. Let us suppose we init the class as below:

...

ANSWER

Answered 2021-Apr-03 at 14:13

Whether the rescaling will happen first or the preprocess_function or such

Rescaling will be applied after the transformations are done. preprocess_function after augmention.

For featurewise functionalities, you need to fit the generator to the data. From the docs:

Source https://stackoverflow.com/questions/66931281

QUESTION

What is the best Neural Network architecture for mapping one input image to two outputs?

Asked 2020-Jan-28 at 11:54

I have generated a data set using EMNIST that has one character per image or two characters per image.The image is sized at 28x56(hxw)

I basically want to predict the one or two characters in a given image. I am not sure on which architecture to follow to implement this. There are 62 character classes.

ex:-single character two characters

For single character y= [23]

For two characters y= [35,11]

I tried the following.

I tried implementing this thorough a CTC but I got stuck in a infinite loss that I couldn't fix.
Padded the single character ground truths with 62 to note a blank character and trained a CNN with following layers.

print()

...

ANSWER

Answered 2020-Jan-28 at 11:54

I have recognized my error. I have tried to tackle the problem using regression method wheres the problem is a classification problem.

Source https://stackoverflow.com/questions/59745668

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install zca

You can download it from GitHub.
You can use zca like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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