dfine-xlarge-coco-torch#

D-FINE XLarge from D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement trained on COCO. Achieves 55.8% AP at 78 FPS on T4 GPU..

Details

  • Model name: dfine-xlarge-coco-torch

  • Model source: Peterande/D-FINE

  • Model author: Yansong Peng, et al.

  • Model license: Apache 2.0

  • Model size: 123.00 MB

  • Exposes embeddings? no

  • Tags: detection, coco, torch, transformers, detr, official

Requirements

  • Packages: torch, torchvision, transformers

  • 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("dfine-xlarge-coco-torch")
13
14dataset.apply_model(model, label_field="predictions")
15
16session = fo.launch_app(dataset)