open-clip-torch#

Connects images with text descriptions enabling search by words and automatic content filtering systems.

Details

  • Model name: open-clip-torch

  • Model source: mlfoundations/open_clip

  • Model author: Gabriel Ilharco, et al.

  • Model license: MIT

  • Exposes embeddings? yes

  • Tags: classification, logits, embeddings, torch, clip, zero-shot, transformer

Requirements

  • Packages: torch, torchvision, open_clip_torch

  • 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("open-clip-torch")
13
14dataset.apply_model(model, label_field="predictions")
15
16session = fo.launch_app(dataset)
17
18#
19# Make zero-shot predictions with custom classes
20#
21
22model = foz.load_zoo_model(
23    "open-clip-torch",
24    text_prompt="A photo of a",
25    classes=["person", "dog", "cat", "bird", "car", "tree", "chair"],
26)
27
28dataset.apply_model(model, label_field="predictions")
29session.refresh()