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* Add more readmes. * Add a readme for dinov2. * Add some skeleton files for a couple more examples. * More whisper details.
20 lines
667 B
Markdown
20 lines
667 B
Markdown
# candle-dinov2
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[DINOv2](https://github.com/facebookresearch/dinov2) is a computer vision model.
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In this example, it is used as an ImageNet classifier: the model returns the
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probability for the image to belong to each of the 1000 ImageNet categories.
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## Running some example
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```bash
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cargo run --example dinov2 --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg
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> mountain bike, all-terrain bike, off-roader: 43.67%
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> bicycle-built-for-two, tandem bicycle, tandem: 33.20%
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> crash helmet : 13.23%
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> unicycle, monocycle : 2.44%
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> maillot : 2.42%
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```
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