What is Neuron exactly?
Neuron is a tiny library that aims to simplify image classification (If you don't know what Image classification is, it's the process to tell from an image what object / thing / feature is on it).
Using Neuron, you'll be able to build production grade model under 5 lines of code. Yes, you read it correctly: 5 lines. Where as in common Machine Learning libraries like TensorFlow, PyTorch or Keras, you would do it in hundreds of lines.
Of course, these libraries are much more complex and versatile than Neuron. Neuron isn't replacing these libraries if you need to build your own graph, but if you're doing so, you probably already know this.
Copy - paste that in a Terminal
pip install neuron-ml
Here is an example of what Neuron can do:
import neuron_ml as n # TensorFlow data = n.load("./dataset/") # formats the data model = n.train(data) # train the data n.export(model, [ "./Model.pb", "./Labels.txt" ]) # Exports everything n.clean(model) # Clean temporary files
And it can also load files and classify them (before using it for production, make sure you have good hardware, as the model can take up to 5 seconds to load and run).
import neuron_ml as n model = n.model([ "./Model.pb", "./Labels.txt" ]) # Load the model graph = n.graph(model) # Generate the graph labels = n.labels(model) # Get the labels n.classify(graph, labels, "./dataset/Celery/celery-1.jpg") # Classify. Will return a result object
See the wiki for more informations.
- Arthur Guiot - Initial work - @arguiot
Also look at the list of contributors who participated in this project. If you don't code but you have great ideas, don't hesitate to write your idea in the issue part. If your idea is accepted, I will add you to this list
This project is licensed under the MIT License - see the file for details
Copyright © 2018 Arthur Guiot All Rights Reserved.