yolo-v2-coco-tf1#

Classic real-time detector finding eighty object types quickly for video analysis applications.

Details

  • Model name: yolo-v2-coco-tf1

  • Model source: thtrieu/darkflow

  • Model author: Joseph Redmon, et al.

  • Model license: GPL-3.0

  • Model size: 194.49 MB

  • Exposes embeddings? no

  • Tags: detection, coco, tf1, yolo, legacy

Requirements

  • CPU support

    • yes

    • Packages: tensorflow<2

  • GPU support

    • yes

    • Packages: tensorflow-gpu<2

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-v2-coco-tf1")
13
14dataset.apply_model(model, label_field="predictions")
15
16session = fo.launch_app(dataset)