mask2former-swin-small-ade-semantic-torch

Mask2Former with Swin-S backbone for semantic segmentation on ADE20K (150 classes).

Details

• Model name: mask2former-swin-small-ade-semantic-torch

• Model source: https://huggingface.co/facebook/mask2former-swin-small-ade-semantic

• Model author: Bowen Cheng, et al.

• Model license: MIT

• Model size: 263.00 MB

• Exposes embeddings? no

• Tags: segmentation, torch, transformers, official

Requirements

• Packages: torch, torchvision, transformers

• CPU support

  • yes

• GPU support

  • yes

Example usage

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset(
    "coco-2017",
    split="validation",
    dataset_name=fo.get_default_dataset_name(),
    max_samples=50,
    shuffle=True,
)

model = foz.load_zoo_model("mask2former-swin-small-ade-semantic-torch")

dataset.apply_model(model, label_field="predictions")

session = fo.launch_app(dataset)