def test_cache():
c = Cache(verbose=True, refetch=False)
print '[test_cache]: putting and retrieving an object from cache'
obj = np.random.rand(2,2)
filename = c.put(obj)
assert_array_equal(obj, c.get(filename))
assert_array_equal(obj, c[filename]) # keys
print '[test_cache]: download an image and retrieve from cache'
imshow(c.get('http://upload.wikimedia.org/wikipedia/commons/3/39/Athene_noctua_(cropped).jpg'))
imshow(c.get('http://upload.wikimedia.org/wikipedia/commons/3/39/Athene_noctua_(cropped).jpg'))
print '[test_cache]: download archive with item fragment'
imshow(c.get('http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz#subpath=CarData/TrainImages/pos-1.pgm'))
imshow(c.get('http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz#subpath=CarData/TrainImages/pos-2.pgm'))
imshow(c.get('http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz#subpath=CarData/TrainImages/pos-3.pgm'))
try:
c.get('http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz#subpath=wrong_path')
except:
print 'incorrect URL fragment raises exception correctly'
print '[test_cache]: size of cache in bytes'
print c.size()
def main():
dbfile = LabelMe3().export(verbose=True)
db = Viset(dbfile, verbose=True)
for (im) in db.image:
#print 'Image=' + str(annotation['id_img']) + ' Category=' + annotation['category']
if im is not None:
imshow(im)
from viset.library.imagedir import ImageDir
from viset.dataset import Viset
from viset.show import imshow
import sys
if __name__ == '__main__':
"""Create imageviset from directory of images. First argument is database name, second argument is image directory"""
dbname = sys.argv[1]
imdir = sys.argv[2]
print '[viset.demo_imagedir]: Creating viset "%s" ' % dbname
print '[viset.demo_imagedir]: Reading images from directory = %s' % imdir
dbfile = ImageDir().export(dbname, imdir, verbose=True)
db = Viset(dbfile, verbose=True)
for im in db.image:
imshow(im)
def main():
for (im,annotation) in Recognition(caltech256.export()):
imshow(im.get(), title=annotation)
def main():
filename = sys.argv[1]
for (im,annotation) in Recognition(filename):
imshow(im.get(), title=annotation)
def main():
dbfile = PascalVOC2012().export(verbose=True)
db = Viset(dbfile, verbose=True)
for (im,annotation) in db.annotation.categorization(step=10):
print 'Image=' + str(annotation['idx_image']) + ' Category=' + annotation['category']
imshow(im, title=annotation['category'])
