...
- URL http://www.vlfeat.org/index.html
- download binary or compile from source
- see http://www.vlfeat.org/install-shell.html for locations of files
- copy "sift" to "/usr/local/bin
- copy "libvl.so" to "/usr/local/lib
- run ldconfig
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% sudo add-apt-repository ppa:fkrull/deadsnakes
Run Update:
% sudo apt-get update
Install your flavor:
% sudo apt-get install python2.6 python2.6-dev
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2. Download pyvlfeat: bzr branch lp:pyvlfeat
3. Build pyvlfeat by running sudo python setup.py build
...
example
...
usage
...
-
...
calibration
...
---------------------------
...
./calibrate.py
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calibration-images
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9
...
6
...
calibration-data
...
This
...
uses
...
the
...
chessboard
...
images
...
in
...
directory
...
calibration-images.
...
Each
...
chessboard
...
has
...
9x6
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inner
...
corners.
...
The
...
resulting
...
camera
...
matrices
...
are
...
persisted
...
into
...
directory
...
calibration-data.
...
example
...
usage
...
-
...
dewarping
...
-------------------------
...
./dewarp.py
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calibration-data
...
left.jpg
...
right.jpg
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dewarped.png
...
This
...
uses
...
the
...
calibration
...
matrices
...
from
...
directory
...
calibration-data
...
to
...
perform
...
stereo
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dewarping
...
of
...
the
...
image
...
pair
...
given
...
by
...
left.jpg
...
and
...
right.jpg.
...
The
...
dewarped
...
output
...
is
...
then
...
persisted
...
to
...
dewarped.png
...
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Calibration notes
- 6 minutes to run calibration on 2 cores, 2 GB VM.
- 6 minutes to run calibration on 4 cores, 2 GB VM.