# Image Captioning with BLIP
*author: David Wang*
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## Description
This operator generates the caption with [BLIP ](https://arxiv.org/abs/2201.12086 ) which describes the content of the given image. This is an adaptation from [salesforce/BLIP ](https://github.com/salesforce/BLIP ).
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## Code Example
Load an image from path './animals.jpg' to generate the caption.
*Write the pipeline in simplified style* :
```python
import towhee
towhee.glob('./animals.jpg') \
.image_decode() \
.image_captioning.blip(model_name='blip_base') \
.select() \
.show()
```
< img src = "./cap.png" alt = "result1" style = "height:20px;" / >
*Write a same pipeline with explicit inputs/outputs name specifications:*
```python
import towhee
towhee.glob['path']('./animals.jpg') \
.image_decode['path', 'img']() \
.image_captioning.blip['img', 'text'](model_name='blip_base') \
.select['img', 'text']() \
.show()
```
< img src = "./tabular.png" alt = "result2" style = "height:60px;" / >
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## 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
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## Interface
An image-text embedding operator takes a [towhee image ](link/to/towhee/image/api/doc ) as input and generate the correspoing caption.
**Parameters:**
** *data:*** *towhee.types.Image (a sub-class of numpy.ndarray)* or *str*
The image to generate embedding.
**Returns:** *str*
The caption generated by model.
