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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.dc2 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()
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.
wxywb
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models | 2 years ago | ||
.gitattributes |
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README.md |
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__init__.py |
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blip.py |
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cap.png |
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requirements.txt |
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tabular.png |
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