reimage | Morph images by maximizing their structural similarity | Computer Vision library

by malyvsen Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | reimage Summary

reimage is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Generative adversarial networks applications. reimage has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However reimage build file is not available. You can download it from GitHub.

Morph images by maximizing their structural similarity.

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Quality

Security

License

Reuse

Support

reimage has a low active ecosystem.

It has 13 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

reimage has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of reimage is current.

Quality

reimage has 0 bugs and 0 code smells.

Security

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

reimage code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

reimage 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

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

reimage has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Swap image .

Get all kandi verified functions for this library.

reimage Key Features

No Key Features are available at this moment for reimage.

reimage Examples and Code Snippets

No Code Snippets are available at this moment for reimage.

Community Discussions

Trending Discussions on reimage

undefined variable reimage laravel

Refreshing credentials/configuration in Azure VM scale sets

Apply mapping to create new column in pandas dataframe

Further speeding up parallization process

Comparing values in a dictiionary to a column in pandas to update dictionary

Speeding up a comparison function for comparing sentences

Removing items in a python dictionary under a condition

poLCA in R is not executing. I am getting a weird error message

QUESTION

undefined variable reimage laravel

Asked 2021-Jun-22 at 12:52

I am trying to crud the image but it say undefined variable reimage code: CategoryController

...

ANSWER

Answered 2021-Jun-22 at 12:52

You are getting variable undefined because its only initialized inside IF condition and used below that code. In case IF condition is not true, variable never created and giving your error.

Simply initialized variable with empty string (or something else if its required DB field).

Here is your updated function

Source https://stackoverflow.com/questions/68082738

QUESTION

Refreshing credentials/configuration in Azure VM scale sets

Asked 2021-Apr-13 at 09:37

What is the recommended approach to automatically refresh credentials or application configuration in an Azure VM scale set?

Scenario

I have a horizontally-scalable application hosted in Azure that receives real-time streaming data. I've configured a simple CI/CD pipeline that builds a custom immutable image with the application binaries/libraries and then publishes it to an image gallery. From there, it's deployed to a scale set with a load balancer frontend to distribute traffic across the instances. At creation time, each instance fetches an application configuration file from blob storage and credentials from key vault.

Problem

When the application configuration or credentials are changed, those changes are not reflected in running instances until they are reimaged. As the application handles streaming data, I must manually effect a "rolling restart" by reimaging each instance one-by-one to ensure the application remains available while all instances are updated to the newest configuration.

Question

Azure provides a native "rolling upgrade" functionality to handle changes to scale set properties. I already use this when deploying new images, and it works very well. However, changes to the application configuration in blob storage or credentials in key vault obviously do not trigger a change to scale set properties. Is there a way to effect the same "rolling upgrade" process to account for external changes, without having to manually cycle through the instances and reimage them? Alternatively, is there a better approach to managing application configuration/credentials?

...

ANSWER

Answered 2021-Apr-13 at 09:37

If you have scripts to fetch the application configuration file from blob storage and credentials from the key vault. It's recommended to uses the Custom Script Extension to run those scripts on Azure VM scale sets. The Custom Script Extension downloads and executes scripts on Azure VMs. This extension is useful for post-deployment configuration, software installation, or any other configuration/management task.

Source https://stackoverflow.com/questions/67070121

QUESTION

Apply mapping to create new column in pandas dataframe

Asked 2021-Mar-15 at 15:54

I have a dictionary that looks like this

...

ANSWER

Answered 2021-Mar-15 at 15:54

Just create an inverse dictionary and map:

Source https://stackoverflow.com/questions/66641261

QUESTION

Further speeding up parallization process

Asked 2021-Mar-11 at 21:05

I created a dictionary for labels

...

ANSWER

Answered 2021-Mar-09 at 01:19

A few things here.

I think it's redundant to use fuzzy matching AND search for the same string with different word ordering. Example, there's no need to search for 'replaced printer' and 'printer replaced'. You can set the matching score option in fuzzywuzzy to account for that.
I think a dictionary is a good idea, but I think you should be reversing the keys and vals, where the key is the matched term and the int is the val.

I don't think parallelization is necessary. Try something like this and let me know if it takes too long.

Source https://stackoverflow.com/questions/66538335

QUESTION

Comparing values in a dictiionary to a column in pandas to update dictionary

Asked 2021-Mar-05 at 21:53

I create my own labels for a classification model

...

ANSWER

Answered 2021-Mar-05 at 21:53

The easiest workaround is to either use set instead of list for a variable or add additional condition before appending to a

using set

Source https://stackoverflow.com/questions/66499534

QUESTION

Speeding up a comparison function for comparing sentences

Asked 2021-Mar-05 at 13:50

I have a data frame that has a shape of (789174, 9). There is a column called resolution that contains a sentence that is less than 139 characters in length. I built a function to find sentences that have a similarity score of above 0.9 from the difflib library. I have a virtual computer with 96 cpus and 384 gb of ram. I have been running this function for longer than 2 hours now and it still has not processed when i = 1000. I am concerned that this will take too long to process and I am wondering if there is a way to speed this up.

...

ANSWER

Answered 2021-Mar-04 at 10:18

def replace_similars(input_list):
    # Replaces %90 and more similar strings
    start_time = time.time()
    for i in range(len(input_list)):
        if i % 1000 == 0:
            print(f'time = {time.time()-start_time:.2f} - index = {i}')
        for j in range(i+1, len(input_list)):
            if -15 < len(list(input_list[i])) - len(list(input_list[i])) < 15:
                if difflib.SequenceMatcher(None, input_list[i], input_list[j]).ratio() >= 0.9:
                    input_list[j] = input_list[i]

def generate_mapping(input_list):
    new_list = input_list[:]  # copy list
    replace_similars(new_list)

    mapping = {}
    for i in range(len(input_list)):
        mapping[input_list[i]] = new_list[i]

    return mapping

Source https://stackoverflow.com/questions/66432986

QUESTION

Removing items in a python dictionary under a condition

Asked 2021-Mar-05 at 01:20

Suppose I have this dictionary

...

ANSWER

Answered 2021-Mar-05 at 00:40

Considering you just want to remove identical values, you could do some dict comprehensions like this:

Source https://stackoverflow.com/questions/66485023

QUESTION

poLCA in R is not executing. I am getting a weird error message

Asked 2020-Jul-05 at 17:16

I'm pretty new to R and I'm encountering an error that I'm not sure why I'm getting. I'm running R Studio Version 1.3.959 on Windows 10 and trying to use the package poLCA.

Here is my code:

...

ANSWER

Answered 2020-Jul-05 at 17:16

It looks like the very silly issue is defining the formula without quotation marks as also noted in this answer:

Source https://stackoverflow.com/questions/62742450

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

Vulnerabilities

No vulnerabilities reported

Install reimage

You can download it from GitHub.
You can use reimage 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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