# candle-segformer

- [HuggingFace Segformer Model Card][segformer]
- [`mit-b0` - An encoder only pretrained model][encoder]
- [`segformer-b0-finetuned-ade-512-512` - A fine tuned model for segmentation][ade512]

## How to run the example

If you want you can use the example images from this [pull request][pr], download them and supply the path to the image as an argument to the example.

```bash
# run the image classification task
cargo run --example segformer classify candle-examples/examples/yolo-v8/assets/bike.jpg

# run the segmentation task
cargo run --example segformer segment candle-examples/examples/yolo-v8/assets/bike.jpg

```

Example output for classification:

```text
classification logits [3.275261e-5, 0.0008562019, 0.0008868563, 0.9977506, 0.0002465068, 0.0002241473, 2.846596e-6]
label: hamburger
```

[pr]: https://github.com/huggingface/candle/pull/1617
[segformer]: https://huggingface.co/docs/transformers/model_doc/segformer
[encoder]: https://huggingface.co/nvidia/mit-b0
[ade512]: https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512