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Updated 2 years ago

image-captioning

Image Captioning with BLIP

author: David Wang


Description

This operator generates the caption with BLIP which describes the content of the given image. This is an adaptation from salesforce/BLIP.


Code Example

Load an image from path './animals.jpg' to generate the caption.

Write a pipeline with explicit inputs/outputs name specifications:

from towhee import pipe, ops, DataCollection

p = (
    pipe.input('url')
    .map('url', 'img', ops.image_decode.cv2_rgb())
    .map('img', 'text', ops.image_captioning.blip(model_name='blip_base'))
    .output('img', 'text')
)

DataCollection(p('./animals.jpg')).show()
result2


Factory Constructor

Create the operator via the following factory method

blip(model_name)

Parameters:

model_name: str

​ The model name of BLIP. Supported model names:

  • blip_base


Interface

An image captioning operator takes a towhee image as input and generate the correspoing caption.

Parameters:

img: towhee.types.Image (a sub-class of numpy.ndarray)

​ The image to generate caption.

Returns: str

​ The caption generated by model.

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