segment-anything-2.1-hiera-small-image-torch#

Balanced updated segmenter combining speed and accuracy for edge device image processing.

Details

  • Model name: segment-anything-2.1-hiera-small-image-torch

  • Model source: https://ai.meta.com/sam2/

  • Model author: Nikhila Ravi, et al.

  • Model license: Apache 2.0, BSD 3-Clause

  • Model size: 175.87 MB

  • Exposes embeddings? no

  • Tags: segment-anything, torch, zero-shot, transformer, official

Requirements

  • Packages: torch, torchvision, sam2

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4dataset = foz.load_zoo_dataset(
 5    "coco-2017",
 6    split="validation",
 7    dataset_name=fo.get_default_dataset_name(),
 8    max_samples=50,
 9    shuffle=True,
10)
11
12model = foz.load_zoo_model("segment-anything-2.1-hiera-small-image-torch")
13
14# Segment inside boxes
15dataset.apply_model(
16    model,
17    label_field="segmentations",
18    prompt_field="ground_truth",  # can contain Detections or Keypoints
19)
20
21# Full automatic segmentations
22dataset.apply_model(model, label_field="auto")
23
24session = fo.launch_app(dataset)