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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PNG 2 JPG All codes assume running from root directory. Please update the sys path at the beginning of the codes before running. Over View Png2Jpg too
script to batch and convert with lvgl offline image converter
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