Model ZOO
DepthAI Model Zoo is a collection of neural network models deployable to OAK and RAE. You can access the full list of models directly in our GitHub repository. For licensing, please refer to the information inmodel.yml in the model's respective directory.How to use
There are different ways to access the models from the DepthAI model zoo.Note that the models in the DepthAI Model Zoo are exported such that they expect images with values in the
[0-255] range, BGR (Blue Green Red) color order, and CHW (Channel Height Width) channel layout.Python (DepthAI)
To use seamlessly with DepthAI, you can use our BlobConverter library:- Install BlobConverter using
pip:
Command Line
1pip install blobconverter- Call
from_zoomethod withzoo_type="depthai", thenameof the model that you want, and a number ofshavesto use:
Python
1import blobconverter
2model_path = blobconverter.from_zoo(
3 name="yolop_320x320",
4 zoo_type="depthai",
5 shaves=6
6 )zoo_type="intel". And by calling blobconverter.zoo_list(zoo_type=...) you can get the list of all models available in the choosen zoo.- Pass the
model_pathto the neural network node:
Python
1neural_network.setBlobPath(model_path)The default path for the downloaded blob is the
~/.cache/blobconverter directory. It is arbitrary and can be specified by setting the output_dir parameter.BlobConverter interface
You have the option to download each exported model either through our BlobConverter web interface or by utilizing the BlobConverter API. Please note that downloading from the interface is only available from version2022.1. You can find additional information about the conversion process here.