An executor that performs standard pre-processing and normalization on images.
from jina import Flow
f = Flow().add(uses='jinahub+docker://ImagePreprocessor')
from jina import Flow
f = Flow().add(uses='jinahub://ImagePreprocessor')
__init__ args & kwargs, use .add(..., uses_with: {'key': 'value'}).add(..., uses_metas: {'key': 'value})PIX PIX is an image processing library in JAX, for JAX. Overview JAX is a library resulting from the union of Autograd and XLA for high-performance ma
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Something like:
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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.
v0.1.0 - 24.12.2021ImagePreprocessor initial version
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