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 An image embedding pipeline generates a vector given an image. This Pipeline extracts features for image with 'ResNet50' models provided by [Timm](https://github.com/rwightman/pytorch-image-models). Timm is a deep-learning library developed by [Ross Wightman](https://twitter.com/wightmanr), who maintains SOTA deep-learning models and tools in computer vision.
 
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 ## Code Example
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 res.get()
 ```
 
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 ## **Configuration**
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 The number of GPU device, defaults to -1, which means using CPU.
 
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 ## Interface