Examples for the workshop: Introduction to computer vision with OpenCV held at Foulab These directories contain examples used in the workshop Introduction to Computer Vision with OpenCV given at Foulab Feb 9, 2014 by Rupert Brooks and Isabelle Begin

Some of these examples were taken directly from the OpenCV samples and copied here for convenience. Sometimes with small tweaks to make them work correctly. The source of this files is indicated with comments in them.

helloworld.py

To run: python helloworld.py inputimage outputimage

videograb.py:

To run: videograb.py deviceNb basename In window: "f" key: save frame with basename_0000x.png (x: 0,1,2,...) "escape" key: exit

color.py

To run: color.py inputimage In window: any key: exit

blur.py:

To run: python [-h] blur.py inputimage [outputimage] In window: any key: exit

morphology.py (from openCV samples)

To run: morphology.py inputimage In window: "escape" key: exit

rotating.py

To run: rotating.py In window: "escape" key: exit

edge.py (from openCV samples)

To run: edge.py In window: "escape" key: exit

facedetect.py (from openCV samples)

To run: facedetect.py --cascade data\haarcascades\haarcascade_frontal_alt2.xml --nested-cascade data\haarcascades\haarcascade_eye.xml In window: "escape" key: exit

camshift.py (from openCV samples)

To run: camshift.py

plane_ar.py (from openCV samples) plane_tracker.py (from openCV samples)

countingchange.py

aTo run: countingchange.py [--method=] [--space=] image

calibrate.py

To run: calibrate.py --save sonyparameters.npz --debug sonydebug cellphone_calibration/'*'.jpg

features.py

To run: features.py cellphoneseries/DSC_0480_small.jpg cellphoneseries/DSC_0487_small.jpg test will generate test.ply which can be viewed by meshlab

stereo_match.py

To run: stereo_match.py cellphoneseries/DSC_0480_small.jpg cellphoneseries/DSC_0487_small.jpg test will generate test.ply which can be viewed by meshlab

undistortimage.py

To run: undistortimage.py cameraparameterfile inputimage outputimage