Python ​

Basic Usage of Nudeny API ​

The Nudeny API can be easily accessed using Python's requests module. To use the module, install it by running:

npm install requests

Then, import it and create a form_data object containing the file(s) you want to analyze. You can then make a POST request to the Nudeny API with this object:

import requests

form_data = {
    "files": open("./images/mch05.jpg", "rb"),
    "files": open(
        "./images/1661045266_4-titis-org-p-nude-male-posing-chastnaya-erotika-5.jpg",
        "rb",
    ),
}
response = requests.post("http://ec2-18-136-200-224.ap-southeast-1.compute.amazonaws.com/censor/", files=form_data)

print(response.content)

With the basic usage of the Nudeny API in Python, you can easily create a request to the API using the requests method. However, if you want to save the censored version of an image to your local machine, the Nudeny API module for Python can greatly simplify the process by abstracting away some of the underlying code. This makes it easier to use the Nudeny API to censor images and protect your content, without needing to worry about the details of the implementation.

Installation ​

To install the Nudeny API module for Python, run:

pip install nudeny

Classification use case ​

The Nudeny API provides a classification functionality that can classify images as safe or unsafe. You can use the Classify class to access this functionality.

imageClassify ​

Parameters

Return value dict

Example:

from nudeny import Classify

classify = Classify()

paths = [
    './sample.jpg',
    './sample2.png',
]

response = classify.imageClassify(paths=paths)
print(response)

imageClassifyUrl ​

Parameters

Return value dict

Example:

from nudeny import Classify

classify = Classify()

urls = [
    '...URL',
    '...URL'
]

response = classify.imageClassifyUrl(urls=urls)
print(response)

Detection use case ​

The Nudeny API provides a detection functionality that can detect exposed skin in images. You can use the Detect class to access this functionality.

detectExposed ​

Parameters

Return value dict

Example:

from nudeny import Detect

detect = Detect()

paths = [
    './sample.jpg',
    './sample2.png',
]

response = detect.detectExposed(paths=paths)
print(response)

detectExposedFromUrl ​

Parameters

Return value dict

Example:

from nudeny import Detect

detect = Detect()

urls = [
    '...URL',
    '...URL'
]

response = detect.detectExposedFromUrl(urls=urls)
print(response)

Censor use case ​

The Nudeny API provides a censoring functionality that can censor images containing exposed skin. You can use the Detect class to access this functionality

censorExposed ​

Parameters

Return value dict

Example:

from nudeny import Detect

detect = Detect()

paths = [
    './sample.jpg',
    './sample2.png',
]
save_path = './Path'

response = detect.censorExposed(paths=paths, save_path=save_path)
print(response)

censorExposedFromUrl ​

Parameters

Return value dict

Example:

from nudeny import Detect

detect = Detect()

urls = [
    '...URL',
    '...URL'
]
save_path = './Path'

response = detect.censorExposedFromUrl(urls=urls, save_path=save_path)
print(response)

In both cases, the save_path argument specifies where to save the censored image.