An executor that performs standard pre-processing and normalization on images.

Overview

ImagePreprocessor

An executor that performs standard pre-processing and normalization on images.

Usage

via Docker image (recommended)

from jina import Flow
	
f = Flow().add(uses='jinahub+docker://ImagePreprocessor')

via source code

from jina import Flow
	
f = Flow().add(uses='jinahub://ImagePreprocessor')
  • To override __init__ args & kwargs, use .add(..., uses_with: {'key': 'value'})
  • To override class metas, use .add(..., uses_metas: {'key': 'value})
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Comments
  • Feature request: skip non-image files

    Feature request: skip non-image files

    Something like:

            for d in docs[traversal_paths]:
                if d.text is None:
                    if d.uri and d.tensor is None:
                        d.load_uri_to_image_tensor()
                    self._reshape(docs[traversal_paths])
                    self._normalize(docs[traversal_paths])
    

    I'd make a PR right now, but my brain is fuzzy from working on other stuff

    This ties into my PDF search engine - I've got text chunks and image chunks on the same level. I need to skip preprocessing on all the text chunks.

    opened by alexcg1 0
Releases(v0.1.0)
Owner
Jina AI
A Neural Search Company. We provide the cloud-native neural search solution powered by state-of-the-art AI technology.
Jina AI
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