yolo-nas-torch#

AI-designed detector family offering three model variants for diverse deployment scenarios.

Details

  • Model name: yolo-nas-torch

  • Model source: Deci-AI/super-gradients

  • Model author: Shay Aharon, et al.

  • Model license: Apache 2.0

  • Exposes embeddings? no

  • Tags: detection, torch, yolo, official

Requirements

  • Packages: torch, torchvision, super-gradients

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