Googlenet.py

andy8902 · June 27, 2020, 3:41pm

Hello,googlenet.py is on this picture. If I want to use it,how can I use it?

AastaLLL · June 29, 2020, 3:43am

Hi,

The GoogleNet python script just defines the model architecture.
You can find the detail usage in jetson_inference tutorial:

github.com

dusty-nv/jetson-inference/blob/master/docs/imagenet-console-2.md#python

<img src="https://github.com/dusty-nv/jetson-inference/raw/master/docs/images/deep-vision-header.jpg" width="100%">
<p align="right"><sup><a href="building-repo-2.md">Back</a> | <a href="imagenet-example-python-2.md">Next</a> | </sup><a href="../README.md#hello-ai-world"><sup>Contents</sup></a>
<br/>
<sup>Image Recognition</sup></p>  

# Classifying Images with ImageNet
There are multiple types of deep learning networks available, including recognition, detection/localization, and semantic segmentation.  The first deep learning capability we're highlighting in this tutorial is **image recognition**, using classifcation networks that have been trained on large datasets to identify scenes and objects.

<img src="https://github.com/dusty-nv/jetson-inference/raw/pytorch/docs/images/imagenet.jpg" width="1000">

The [`imageNet`](../c/imageNet.h) object accepts an input image and outputs the probability for each class.  Having been trained on the ImageNet ILSVRC dataset of **[1000 objects](../data/networks/ilsvrc12_synset_words.txt)**, the GoogleNet and ResNet-18 models were automatically downloaded during the build step.  See [below](#downloading-other-classification-models) for other classification models that can be downloaded and used as well.

As an example of using the [`imageNet`](../c/imageNet.h) class, we provide sample programs for C++ and Python:

- [`imagenet.cpp`](../examples/imagenet/imagenet.cpp) (C++) 
- [`imagenet.py`](../python/examples/imagenet.py) (Python) 

These samples are able to classify images, videos, and camera feeds.  For more info about the various types of input/output streams supported, see the [Camera Streaming and Multimedia](aux-streaming.md) page.

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Thanks.