Package data

genderClassifier takes a classifier as an argument and will use the csuScrapShot data to perform a gender classification test on that classifier.

These three functions will be called:

   for im in training_images:
       clsfy.addTraining(label,im,ilog=ilog)
   
   clsfy.train(ilog=ilog)
   
   for im in testing_images:
       clsfy.predict(im,ilog=ilog)

label = 0 or 1 (0=Female,1=Male)

im is a 64x64 pyvision image that is normalized to crop the face

Output of predict should be a class label (0 or 1)

Returns:

the success rate for the testing set.

SCRAPS_EYES

The path to a text file containing coordinates to the scrapshots dataset.

Value:

EyesFile(os.path.join(pv.__path__ [0], 'data', 'csuScrapShots', 'coord s.txt'))

AIRPLANE

The path to a commonly use test image of a jet airplane.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/misc/airplan e.jpg'

BABOON

The path to a commonly use test image of a baboon face.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/misc/baboon. jpg'

FRUITS

The path to a commonly use test image of fruit.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/misc/fruits. jpg'

LENA

The path to a commonly used "Lena" test image.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/misc/lena.jp g'

LOGO

The path to a commonly use test image of a butterfly used as the pyvision logo.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/misc/logo.jp g'

TAZ_IMAGE

The path to a commonly use test image of a butterfly used as the pyvision logo.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/test/TAZ_001 0.jpg'

TAZ_VIDEO

The path to a test video of a Loony Tunes Taz stuffed animal.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/test/TazSamp le.m4v'

CAR_VIDEO

The path to a test video of a small moving car.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/test/toy_car .m4v'

BUGS_VIDEO

The path to a test video sequence of bugs crawling through weeds.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/test/BugsSam ple.m4v'

FONT_ARIAL

The path to a file containing the Arial true type font.

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/config/Arial.ttf'

IRIS_PATH

Value:

'/Users/qdb/Dropbox (ORNL)/git/pyvision/src/pyvision/data/ml/iris.csv'

IRIS_LABELS

Value:

array(['setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', ...

IRIS_DATA

Value:

array([[ 5.0999999 , 3.5 , 1.39999998, 0.2 ], [ 4.9000001 , 3. , 1.39999998, 0.2 ], [ 4.69999981, 3.20000005, 1.29999995, 0.2 ], [ 4.5999999 , 3.0999999 , 1.5 , 0.2 ], [ 5. , 3.5999999 , 1.39999998, 0.2 ], [ 5.4000001 , 3.9000001 , 1.70000005, 0.40000001], [ 4.5999999 , 3.4000001 , 1.39999998, 0.30000001], [ 5. , 3.4000001 , 1.5 , 0.2 ], ...