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23 lines
681 B
Markdown
23 lines
681 B
Markdown
# candle-convnext
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[A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545).
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This candle implementation uses a pre-trained ConvNeXt 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 convnext --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg --which tiny
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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: 84.09%
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bicycle-built-for-two, tandem bicycle, tandem: 4.15%
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maillot : 0.74%
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crash helmet : 0.54%
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unicycle, monocycle : 0.44%
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```
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