Clip-bbox

Latest version: v0.3.1

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0.3.1

Changes:
* Resolution at which CLIP encodes images will be adjusted based on input image's dimensions
* Tests and docs updated accordingly
* Removed extraneous code

0.3.0

Changes:
* Added command line arguments
* Test coverage now at 93%
* Added more examples to docs website

0.2.0

Changes:
* Add Read the Docs documentation
* Setup autodocs
* Fix imports and build

0.1.0

CLIP_BBox` is a Python library for detecting image objects with natural language text labels.

Given an image and a natural language text label, `CLIP_BBox` will obtain the image's spatial embedding and text label's embedding from CLIP, compute the similarity heatmap between the embeddings, then draw a bounding box around the image region with the highest image-text correspondence.

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