Detects numeric displays in images using OpenCV
A Python 3 package for detecting numeric seven-segment displays in images and running perspective correction on them using OpenCV 4.
detect_box_sequences() first applies a series of filters to the input image to reduce noise, bring
out primary contours and bridge gaps between digit segments (see
all resulting contours are analyzed by comparing their geometric properties to a set of criteria
which define what it means for a contour to resemble a seven-segment digit. Lots of assumptions are
being made here (see
config.cfg). A contour resembling a seven-segment digit is used to
Box object. Several boxes lined up in a row make up a box
Sequence. Sequences are
contained in a
In other words, raw contours serve as input for an object detection pipeline which produces results in the form of a crawlable object tree.
$ brew install opencv
$ pip install numericvision
Using the package
from numericvision import detect_box_sequences box_sequences = detect_box_sequences("image.jpg")
Running from the command line
$ python -m numericvision image.jpg
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