# imageNet issue

**URL:** <https://forums.developer.nvidia.com/t/imagenet-issue/316595>\
**Category:** Jetson Orin Nano\
**Tags:** tensorflow, tensorrt, jetson-inference\
**Created:** [December 12, 2024, 6:06am UTC](https://forums.developer.nvidia.com/t/imagenet-issue/316595 "2024-12-12T06:06:24Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![tengumanc](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@tengumanc](https://forums.developer.nvidia.com/u/tengumanc)\
**Post date:** [December 12, 2024, 6:06am UTC](https://forums.developer.nvidia.com/t/imagenet-issue/316595/1 "2024-12-12T06:06:24Z")

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Hello, I’m pretty new here so thank you for your help and patience.

I have been trying to run imageNet from the Jetson-Inference Library.

I am using a Jetson Orin Nano Developer kit. I downloaded Jetpack 6.1 to a micro-SD card then updated the image. I followed the Build procedure and tried to run imagenet but get the red error below.

```auto
[TRT] TensorRT 10.3 does not support legacy caffe models
[TRT] device GPU, failed to load networks/Googlenet/bvlc_googlenet.caffemodel
[TRT] failed to load networks/Googlenet/bvlc_googlenet.caffemodel
[TRT] imageNet -- failed to initialize.
imagenet: failed to initialize imageNet

```

I’m not sure why this is the case, I have tried multiple SD cards and sometimes it works and sometimes it doesn’t. I’m trying to replicate this issue and I must be doing something different with the setup process.

Is TensorRT unsopported with Jetpack 6.1 or is this error for some other reason?

Thank you for your help.

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [December 12, 2024, 8:50am UTC](https://forums.developer.nvidia.com/t/imagenet-issue/316595/3 "2024-12-12T08:50:10Z")

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Hi,

Since we remove caffemodel support in TensorRT 10, please setup your device with JetPack 6.0 GA for jetson-inference.

If JetPack 6.1 is preferred, please check our Jetson AI Lab instead:

> **[Introduction - NVIDIA Jetson AI Lab](https://www.jetson-ai-lab.com/tutorial-intro.html/)**
>
> Showcasing generative AI projects that run on Jetson

Thanks.

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**Author:** ![jmakurami909](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@jmakurami909](https://forums.developer.nvidia.com/u/jmakurami909)\
**Post date:** [December 27, 2024, 1:56am UTC](https://forums.developer.nvidia.com/t/imagenet-issue/316595/5 "2024-12-27T01:56:40Z")

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Thank you for these insights. As the imagenet image classification is somewhat of a historically foundational model, is there a way to make it work with 6.1? I am also getting the error above when following the tutorial.  
Is there a way to use the older version of TensorRT or would it just be easier to flash a JetPack 6.0 GA microsd and proceed?

[https://github.com/dusty-nv/jetson-inference/blob/master/docs/imagenet-console-2.md](https://github.com/dusty-nv/jetson-inference/blob/master/docs/imagenet-console-2.md)

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**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [January 10, 2025, 1:57am UTC](https://forums.developer.nvidia.com/t/imagenet-issue/316595/6 "2025-01-10T01:57:37Z")

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