Getting Started
This documentation explains how to install furiosa-models, how to use available models in furiosa-models, and how to explore the documents.
Prerequisites
furiosa-models
can be installed on various Linux distributions, but it has been tested on the followings:
- CentOS 7 or higher
- Debian bullseye or higher
- Ubuntu 20.04 or higher
The following packages should be installed, but the followings are installed by default in most systems. So, only when you have any dependency issue, you need to install the following packages:
- libstdc++6
- libgomp
Installing
You can quickly install Furiosa Models by using pip
as following:
Building from Source Code (click to see)
Or you can build from the source code as following:
Quick example and Guides
You can simply load a model and run through furiosa-sdk as the following:
Info
If you want to learn more about the installation of furiosa-sdk and how to use it, please refer to the followings:
from furiosa.models.vision import SSDMobileNet
from furiosa.runtime import session
image = ["tests/assets/cat.jpg"]
mobilenet = SSDMobileNet.load()
with session.create(mobilenet.enf) as sess:
inputs, contexts = mobilenet.preprocess(image)
outputs = sess.run(inputs).numpy()
mobilenet.postprocess(outputs, contexts)
This example does:
- Load the SSDMobileNet model
- Create a
session
, which is the main class of Furiosa Runtime, that can load an ONNX/tflite model onto NPU and run inferences. - Run an inference with pre/post process functions.
A Model
instance is a Python object, including model artifacts, metadata, and its pre/postprocessors.
You can learn more about Model
object at Model object.
Also, you can find all available models at Available Models. Each model page includes the details of the model, input and output tensors, and pre/post processings, and API reference.
If you want to learn more about furiosa.runtime.session
in Furiosa Runtime, please refer to
Furiosa SDK - Tutorial and Code Examples.