mirror of
https://github.com/bspeice/libcvautomation
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61 lines
1.9 KiB
Groff
61 lines
1.9 KiB
Groff
.TH "cva-match" 1 "13 Aug 2012" "Version 1.5" "libcvautomation" \" -*- nroff -*-
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.ad l
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.nh
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.SH NAME
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cva-match \- \fBAuthor:\fP
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.RS 4
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Bradlee Speice <bspeice@uncc.edu>
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.RE
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.PP
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.SH "Usage:"
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.PP
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This program uses OpenCV in order to recognize an image within an image. The return code is 0 for at least one successful match, and 1 otherwise.
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.SH "Example Usage:"
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.PP
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Match two images against the root X11 window:
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.PP
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cva-match --x-root -s '<image_name>' -s '<image_name_2>'
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.PP
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Match a root and sub image with a custom tolerance and search method
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.PP
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cva-match -r '<root_image>' -s '<image_name>' -o 75 -m 1
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.SH "Full Options:"
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.PP
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-h, --help: Display this usage message.
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.PP
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-u, --usage: Display this usage message.
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.PP
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-r, --root-image: Location of the root image to compare against.
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.PP
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-s, --sub-image: Location of the sub-image to find in root.
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.PP
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-p, --separator: Separator of the X and Y coordinates.
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.PP
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-t, --tolerance: Set how strict the match is - 100 is recommended lowest value.
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.PP
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\fBNote:\fP
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.RS 4
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When using CCORR or CCOEFF tolerance works in opposite direction, so -50 is recommended highest value.
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.RE
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.PP
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-m, --search-method: Set which method is used to search for sub-images.
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.PP
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\fBNote:\fP
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.RS 4
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Search Methods: CV_TM_SQDIFF = 0, CV_TM_SQDIFF_NORMED = 1, CV_TM_CCORR = 2, CV_TM_CCORR_NORMED = 3, CV_TM_CCOEFF = 4, CV_TM_COEFF_NORMED = 5
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.RE
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.PP
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-x, --x-root[=DISPLAY]: Set the root image to come from X11
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.PP
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\fBNote:\fP
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.RS 4
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The DISPLAY variable is optional, not specifying it will cause X to use the default display (not specifically :0.0)
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.RE
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.PP
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-c, --center: The output points should be centered on the sub-image, rather than the top-left corner.
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.PP
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-o, --sane-tolerance: Set the tolerance using a scale of 1-100, rather than INT_MIN to INT_MAX (100 ~= INT_MAX)
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.SH "Contact Information:"
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.PP
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Questions? Comments? Concerns? Suggestions? Send all feedback to Bradlee Speice at <bspeice@uncc.edu>
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