open_nsfw | Not Suitable for Work classification | Machine Learning library

by yahoo Python Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | open_nsfw Summary

open_nsfw is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Artificial Intelligence, Machine Learning, Deep Learning, Keras applications. open_nsfw has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However open_nsfw build file is not available. You can download it from GitHub.

Not Suitable for Work (NSFW) classification using deep neural network Caffe models.

Support

Quality

Security

License

Reuse

Support

open_nsfw has a medium active ecosystem.

It has 5651 star(s) with 1064 fork(s). There are 299 watchers for this library.

It had no major release in the last 6 months.

There are 29 open issues and 34 have been closed. On average issues are closed in 62 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of open_nsfw is current.

Quality

open_nsfw has 0 bugs and 0 code smells.

Security

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

open_nsfw code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open_nsfw is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

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

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

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

open_nsfw saves you 25 person hours of effort in developing the same functionality from scratch.

It has 68 lines of code, 3 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Preprocess the image .
Command line parser .
Resize an image

Get all kandi verified functions for this library.

open_nsfw Key Features

No Key Features are available at this moment for open_nsfw.

open_nsfw Examples and Code Snippets

default

Python

Lines of Code : 7

License : Permissive (BSD-2-Clause)

Copy

docker build -t caffe:cpu ./docker/Dockerfile

docker run caffe:cpu caffe --version
caffe version 1.0.0-rc3

git clone https://github.com/yahoo/open_nsfw.git
cd open_nsfw
docker run -p 8080:8080 --volume=$(pwd):/workspace --volume=/data/tmp/image:/da

What is this?,Using Example:

Python

Lines of Code : 7

License : Permissive (BSD-2-Clause)

Copy

from open_nsfw_python3 import NSFWClassifier

classifier = NSFWClassifier()
score = classifier.get_score('image.jpg')

print(score)
0.8041712045669556

Play_NSFW,theano/lasagne port of Open NSFW

Jupyter Notebook

Lines of Code : 3

License : Permissive (MIT)

Copy

nsfw_score(img, 
		nsfw_pkl_path="/home/u/nsfw.pkl", 
		deploy_prototxt_path="/opt/deploy.prototxt")

Community Discussions

Trending Discussions on open_nsfw

Getting Error Trying to Implement Object Detection with Tensorflow

Converting Caffe model to CoreML

QUESTION

Getting Error Trying to Implement Object Detection with Tensorflow

Asked 2019-Dec-01 at 07:10

Project I'm looking at is: https://github.com/mdietrichstein/tensorflow-open_nsfw

I pulled the code and when I run it I get the following error (specific file being run below as well):

Traceback (most recent call last):

File "classify_nsfw.py", line 58, in

main(sys.argv)

File "classify_nsfw.py", line 37, in main with tf.Session() as sess:

AttributeError: module 'tensorflow' has no attribute 'Session'

...

ANSWER

Answered 2019-Dec-01 at 07:10

The reason is you are using old TensorFlow 1.X syntax. tf.Session() was deprecated in TensorFlow 2.0.0.

The module tf.compat.v1 brings in all of the public TensorFlow interface. If you still want to use tf.Session(), use the syntax tf.compat.v1.Session() instead.

Source https://stackoverflow.com/questions/59123018

QUESTION

Converting Caffe model to CoreML

Asked 2017-Jun-22 at 07:57

I am working to understand CoreML. For a starter model, I've downloaded Yahoo's Open NSFW caffemodel. You give it an image, it gives you a probability score (between 0 and 1) that the image contains unsuitable content.

Using coremltools, I've converted the model to a .mlmodel and brought it into my app. It appears in Xcode like so:

In my app, I can successfully pass an image, and the output appears as a MLMultiArray. Where I am having trouble is understanding how to use this MLMultiArray to obtain my probability score. My code is like so:

...

ANSWER

Answered 2017-Jun-21 at 05:58

It seems like you are not transforming the input image in the same way the model expects.
Most caffe models expects "mean subtracted" images as input, so does this model. If you inspect the python code provided with Yahoo's Open NSFW (classify_nsfw.py):

Source https://stackoverflow.com/questions/44663214

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

Vulnerabilities

No vulnerabilities reported

Install open_nsfw

You can download it from GitHub.
You can use open_nsfw 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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