Supported object types for image classifiation with jetson-inference

Robotics & Edge Computing Jetson & Embedded Systems Jetson Orin Nano
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A general question. I’m reviewing the tutorial video for jetson-inference; Jetson AI Fundamentals - S3E3 - Training Image Classification Models.

Are classification models based on image files explicitly? (.jpg, .png, etc). I have representations of images which are multidimentional arrays (double[ ][ ]) stored as .xslx files, approx 2000 rows x 2000 columns each. I would like to build classifications and identifications based on the comparison of those data values in relation to other files of the same type and relative size. No camera input needed.

Asking for guidance if this is the right path to pursue. Thank you.

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Hi,

You can find the loadImage function below and change it based on your use case accordingly.

As you have a special image type, you might also need to retrain the model based on your input type beforehand.
Thanks.

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Perfect, this is exactly where I wanted to hone in on, thank you for this code location to override!

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