imgen | API server for image manipulation | Computer Vision library

by DankMemer Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | imgen Summary

imgen is a Python library typically used in Artificial Intelligence, Computer Vision applications. imgen has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

API server for image manipulation, focused on Dank Memer (discord bot)

Support

Quality

Security

License

Reuse

Support

imgen has a low active ecosystem.

It has 92 star(s) with 59 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 18 have been closed. On average issues are closed in 39 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of imgen is current.

Quality

imgen has no bugs reported.

Security

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

License

imgen is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

imgen 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.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

API endpoint
Runs the given key
Get the rdb connection
Get redis instance
Decorator to access a user
Create a new OAuth2 session
Generate a random picture
Render an image
Handle rate limiting
Return the expiration time in seconds for the given item
View a key
Rotate an image
Show the dashboard
Adds noise to an image
Runs flake8
Show the stats for each endpoint
Decorator to require a user to access
Show an unlimited key
Show the admin
Redirect to Discord
Delete a key
Request key
Create a new key
Approve a key
Test pylint
Login to Discord

Get all kandi verified functions for this library.

imgen Key Features

No Key Features are available at this moment for imgen.

imgen Examples and Code Snippets

No Code Snippets are available at this moment for imgen.

Community Discussions

Trending Discussions on imgen

How to use ImageDataGenerator.flow_from_directory to save each class/label in other subfolders?

Binary image classifier always predicting one class

QUESTION

How to use ImageDataGenerator.flow_from_directory to save each class/label in other subfolders?

Asked 2021-Jan-08 at 13:42

Edit:
Setup:

...

ANSWER

Answered 2021-Jan-08 at 13:42

I found 'workaround', so here it goes:

Source https://stackoverflow.com/questions/65628836

QUESTION

Binary image classifier always predicting one class

Asked 2020-Feb-06 at 13:23

I am trying to design a model for binary image classification, this is my first classifier and I am following an online tutorial but the model always predicts class 0

My dataset contains 3620 and 3651 images of each class respectively, I don't suppose the problem is due to an imbalanced dataset as the model is predicting only the class with lower number of sample in the dataset.

My code

...

ANSWER

Answered 2020-Feb-06 at 13:23

You use only 3000 samples per epoch (see line nb_train_samples = 3000), while having 3620 and 3651 images for the each class. Given that model gets 90% accuracy and predicts only zeros, I suppose that you pass only class-zero images to the network during training. Consider increasing nb_train_samples.

Source https://stackoverflow.com/questions/60095832

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

Vulnerabilities

No vulnerabilities reported

Install imgen

You can download it from GitHub.
You can use imgen 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 .

Find more information at: