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23 lines
722 B
Markdown
23 lines
722 B
Markdown
# candle-mobileone
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[MobileOne: An Improved One millisecond Mobile Backbone](https://huggingface.co/papers/2206.04040).
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This candle implementation uses a pre-trained MobileOne network for inference. The
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classification head has been trained on the ImageNet dataset and returns the
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probabilities for the top-5 classes.
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## Running an example
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```
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$ cargo run --example mobileone --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg --which s2
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loaded image Tensor[dims 3, 224, 224; f32]
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model built
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mountain bike, all-terrain bike, off-roader: 79.33%
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bicycle-built-for-two, tandem bicycle, tandem: 15.32%
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crash helmet : 2.58%
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unicycle, monocycle : 1.70%
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alp : 0.21%
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```
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