Page dewarping and thresholding using a cubic sheet model.
Project description
page-dewarp
Document image dewarping library using a cubic sheet model
Python 3 library for page dewarping and thresholding, available on PyPI.
Requirements
Python 3 and NumPy, SciPy, SymPy, Matplotlib, OpenCV, and TOML Kit are required to run page-dewarp
.
- See
CONDA_SETUP.md
for an example conda environment - If you prefer to install everything from pip, run
pip install page-dewarp
This library was renovated from the original (2016) Python 2 script by Matt Zucker, which you can use if you are somehow still using Python 2.
Usage
usage: page-dewarp [-h] [-d {0,1,2,3}] [-o {file,screen,both}] [-p]
[-vw SCREEN_MAX_W] [-vh SCREEN_MAX_H] [-x PAGE_MARGIN_X]
[-y PAGE_MARGIN_Y] [-tw TEXT_MIN_WIDTH]
[-th TEXT_MIN_HEIGHT] [-ta TEXT_MIN_ASPECT]
[-tk TEXT_MAX_THICKNESS] [-wz ADAPTIVE_WINSZ]
[-ri RVEC_IDX] [-ti TVEC_IDX] [-ci CUBIC_IDX]
[-sw SPAN_MIN_WIDTH] [-sp SPAN_PX_PER_STEP]
[-eo EDGE_MAX_OVERLAP] [-el EDGE_MAX_LENGTH]
[-ec EDGE_ANGLE_COST] [-ea EDGE_MAX_ANGLE]
[-f FOCAL_LENGTH] [-z OUTPUT_ZOOM] [-dpi OUTPUT_DPI]
[-nb NO_BINARY] [-s REMAP_DECIMATE]
IMAGE_FILE_OR_FILES [IMAGE_FILE_OR_FILES ...]
positional arguments:
IMAGE_FILE_OR_FILES One or more images to process
optional arguments:
-h, --help show this help message and exit
-d {0,1,2,3}, --debug-level {0,1,2,3}
-o {file,screen,both}, --debug-output {file,screen,both}
-p, --pdf Merge dewarped images into a PDF
-vw SCREEN_MAX_W, --max-screen-width SCREEN_MAX_W
Viewing screen max width (for resizing to screen)
-vh SCREEN_MAX_H, --max-screen-height SCREEN_MAX_H
Viewing screen max height (for resizing to screen)
-x PAGE_MARGIN_X, --x-margin PAGE_MARGIN_X
Reduced px to ignore near L/R edge
-y PAGE_MARGIN_Y, --y-margin PAGE_MARGIN_Y
Reduced px to ignore near T/B edge
-tw TEXT_MIN_WIDTH, --min-text-width TEXT_MIN_WIDTH
Min reduced px width of detected text contour
-th TEXT_MIN_HEIGHT, --min-text-height TEXT_MIN_HEIGHT
Min reduced px height of detected text contour
-ta TEXT_MIN_ASPECT, --min-text-aspect TEXT_MIN_ASPECT
Filter out text contours below this w/h ratio
-tk TEXT_MAX_THICKNESS, --max-text-thickness TEXT_MAX_THICKNESS
Max reduced px thickness of detected text contour
-wz ADAPTIVE_WINSZ, --adaptive-winsz ADAPTIVE_WINSZ
Window size for adaptive threshold in reduced px
-ri RVEC_IDX, --rotation-vec-param-idx RVEC_IDX
Index of rvec in params vector (slice: pair of values)
-ti TVEC_IDX, --translation-vec-param-idx TVEC_IDX
Index of tvec in params vector (slice: pair of values)
-ci CUBIC_IDX, --cubic-slope-param-idx CUBIC_IDX
Index of cubic slopes in params vector (slice: pair of
values)
-sw SPAN_MIN_WIDTH, --min-span-width SPAN_MIN_WIDTH
Minimum reduced px width for span
-sp SPAN_PX_PER_STEP, --span-spacing SPAN_PX_PER_STEP
Reduced px spacing for sampling along spans
-eo EDGE_MAX_OVERLAP, --max-edge-overlap EDGE_MAX_OVERLAP
Max reduced px horiz. overlap of contours in span
-el EDGE_MAX_LENGTH, --max-edge-length EDGE_MAX_LENGTH
Max reduced px length of edge connecting contours
-ec EDGE_ANGLE_COST, --edge-angle-cost EDGE_ANGLE_COST
Cost of angles in edges (tradeoff vs. length)
-ea EDGE_MAX_ANGLE, --max-edge-angle EDGE_MAX_ANGLE
Maximum change in angle allowed between contours
-f FOCAL_LENGTH, --focal-length FOCAL_LENGTH
Normalized focal length of camera
-z OUTPUT_ZOOM, --output-zoom OUTPUT_ZOOM
How much to zoom output relative to *original* image
-dpi OUTPUT_DPI, --output-dpi OUTPUT_DPI
Just affects stated DPI of PNG, not appearance
-nb NO_BINARY, --no-binary NO_BINARY
Disable output conversion to binary thresholded image
-s REMAP_DECIMATE, --shrink REMAP_DECIMATE
Downscaling factor for remapping image
- PDF conversion not yet implemented
To try out an example image, run
git clone https://github.com/lmmx/page-dewarp
cd page-dewarp
mkdir results && cd results
page-dewarp ../example_input/boston_cooking_a.jpg
Explanation and extension to Gpufit
A book on a flat surface can be said to be 'fixed to zero' at the endpoints of a curve, which
you can model as a cubic (see derive_cubic.py
)
The "cubic Hermite spline" is one of the models supported by Gpufit, a library for Levenberg Marquardt curve fitting in CUDA (C++ with Python API).
[Work in progress]
- See full writeup on Matt Zucker's blog
- See lecture on splines by Steve Marschner for more details and how a spline can be represented in matrix form.
- Brief notes on this project are over on my website
Features
Improvements on the original include:
- Banished Python 2
- Command line interface
- Alterable config options
- Repackage for pip installation
- Refactor with modules and classes
- Speed up the optimisation
- Multiprocessing on CPU
- Optional interface to use Gpufit on GPU (or Deep Declarative Networks?)
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