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Docs: Remove TODO section
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ad-si committed Nov 19, 2024
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Expand Up @@ -164,33 +164,3 @@ docker run \

Aim for a low threshold and a long minimun scene length.
I.e. turn the page really fast and show it for a long time.


## TODO

- [ ] Calculate aspect ratio of scanned document
and apply during perspective transformation
- [ ] Make sure besin for watershed algorithm is in no local confinement
- [ ] Add white border to sobel image or crop it by 1px in order
to correctly handle partly cropped documents
- [ ] Check that there were at least 4 corners detected
- [ ] Dewarp pages
- [ ] Maximize contrast of image before binarizing
- [ ] Make algorithms independent from photo sizes
- [ ] Limit the kind of objects which get deleted when touching the border
(e.g. only elongated objects)
- [ ] Better algorithm for documents with rounded corners (e.g. credit cards)
- [ ] Mention that file format is infered from file extension
- [ ] Spread range after converting to grayscale
- [ ] Add a border around the image
so that watershed starts to flood the image from all directions
and to improve recognition for clipped documents
- [ ] Implement https://github.com/scikit-image/scikit-image/issues/2212
- [ ] Checkout http://ilastik.org
- [ ] Trim images before saving
- [ ] Try out https://github.com/andrewssobral/bgslibrary
- [ ] Try out https://github.com/Image-Py/imagepy
- [ ] Try out https://github.com/WPIRoboticsProjects/GRIP/releases
- [ ] Try out https://mybinder.org
- [ ] Read https://gilberttanner.com/blog/detectron2-train-a-instance-segmentation-model
- [ ] Read https://www.pyimagesearch.com/2018/07/30/opencv-object-tracking/

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