| from transformers import pipeline | |
| segmenter = pipeline(task="image-segmentation") | |
| preds = segmenter( | |
| "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg" | |
| ) | |
| preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds] | |
| print(*preds, sep="\n") | |
| {'score': 0.9879, 'label': 'LABEL_184'} | |
| {'score': 0.9973, 'label': 'snow'} | |
| {'score': 0.9972, 'label': 'cat'} | |
| Depth estimation | |
| Depth estimation predicts the distance of each pixel in an image from the camera. |