segment-anything-vitl-torch#

Large segmentation model producing finer object outlines for professional editing and labeling workflows.

Details

  • Model name: segment-anything-vitl-torch

  • Model source: https://segment-anything.com

  • Model author: Alexander Kirillov, et al.

  • Model license: Apache 2.0

  • Model size: 1.16 GB

  • Exposes embeddings? no

  • Tags: segment-anything, sa-1b, torch, zero-shot, transformer

Requirements

  • Packages: torch, torchvision, segment-anything

  • 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-vitl-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)