txtai - Caption (original) (raw)

pipeline pipeline

The caption pipeline reads a list of images and returns a list of captions for those images.

Example

The following shows a simple example using this pipeline.

`from txtai.pipeline import Caption

Create and run pipeline

caption = Caption() caption("path to image file") `

See the link below for a more detailed example.

Notebook Description
Generate image captions and detect objects Captions and object detection for images Open In Colab

Configuration-driven example

Pipelines are run with Python or configuration. Pipelines can be instantiated in configuration using the lower case name of the pipeline. Configuration-driven pipelines are run with workflows or the API.

config.yml

`# Create pipeline using lower case class name caption:

Run pipeline with workflow

workflow: caption: tasks: - action: caption `

Run with Workflows

`from txtai import Application

Create and run pipeline with workflow

app = Application("config.yml") list(app.workflow("caption", ["path to image file"])) `

Run with API

`CONFIG=config.yml uvicorn "txtai.api:app" &

curl
-X POST "http://localhost:8000/workflow"
-H "Content-Type: application/json"
-d '{"name":"caption", "elements":["path to image file"]}' `

Methods

Python documentation for the pipeline.

__init__(path=None, quantize=False, gpu=True, model=None, **kwargs)

Source code in txtai/pipeline/image/caption.py

def __init__(self, path=None, quantize=False, gpu=True, model=None, **kwargs): if not PIL: raise ImportError('Captions pipeline is not available - install "pipeline" extra to enable') # Call parent constructor super().__init__("image-to-text", path, quantize, gpu, model, **kwargs)

__call__(images)

Builds captions for images.

This method supports a single image or a list of images. If the input is an image, the return type is a string. If text is a list, a list of strings is returned

Parameters:

Name Type Description Default
images image|list required

Returns:

Type Description
list of captions

Source code in txtai/pipeline/image/caption.py

28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 def __call__(self, images): """ Builds captions for images. This method supports a single image or a list of images. If the input is an image, the return type is a string. If text is a list, a list of strings is returned Args: images: image|list Returns: list of captions """ # Convert single element to list values = [images] if not isinstance(images, list) else images # Open images if file strings values = [Image.open(image) if isinstance(image, str) else image for image in values] # Get and clean captions captions = [] for result in self.pipeline(values): text = " ".join([r["generated_text"] for r in result]).strip() captions.append(text) # Return single element if single element passed in return captions[0] if not isinstance(images, list) else captions