def rectangle(fname):
img = bnw(fname)
img = img[22:, 22:]
params = locate(fname)
Ri = params[0] # Inner (pupil) radius
Ro = params[1] # Outer (iris) radius
y, x = params[2] # center coordinates
x -= 10
y -= 10
H = int(Ro - Ri)
W = 360
newmap = zeros([H, W])
for r in range(H):
for c in range(W):
mapped_point_col = int(x + (Ri + r) * cos(radians(c)))
mapped_point_row = int(y + (Ri + r) * sin(radians(c)))
dot = img[min([img.shape[0] - 1, mapped_point_row]),
min([img.shape[1], mapped_point_col])]
newmap[r, c] = dot
#print('Center: ( ' + str(x) + ' , ' + str(y) + ' )')
#disp(newmap)
return newmap[5:44, :]
def rectangle(fname):
'''
Returns a rectangular image corresponding to the iris
using locate.py
Parameters
----------
fname: string
The name of the image in string format.
Returns
-------
newmap:
A rectangular in the circular iris is converted to
a rectangular slot.
'''
img = bnw(fname)
img = img[22:, 22:]
#disp(img)
params = locate(fname)
Ri = params[0] # Inner (pupil) radius
Ro = params[1] # Outer (iris) radius
y, x = params[2] # center coordinates
x -= 10
y -= 10
H = int(Ro - Ri)
W = 360
newmap = zeros([H, W])
for r in range(H):
for c in range(W):
mapped_point_col = int(x + (Ri + r) * cos(radians(c)))
mapped_point_row = int(y + (Ri + r) * sin(radians(c)))
dot = img[min([img.shape[0] - 1, mapped_point_row]),
min([img.shape[1], mapped_point_col])]
newmap[r, c] = dot
print('Center: ( ' + str(x) + ' , ' + str(y) + ' )')
#disp(newmap)
return newmap
#rectangle("left.bmp")
def run(data_path):
articles = glob.glob(os.path.join(data_path, '*'))
nb_articles = len(articles)
count = 0
for article in articles:
print "------------------ %s/%s ------------------" % (count, nb_articles)
pmid = article.split('/')[-1]
article_text = open(article, 'r').read()
print "-- %s -- " % pmid
abstract = get_from_db2(pmid)
if abstract:
(span_id, span_text) = locate(abstract, article_text, pmid)
if span_id:
print "%s\t%s\t%s" % (pmid, span_id, 'abstract2')
print "-------------- db2_abstract --------------"
print abstract
print "-------------- span_abstract -------------"
print span_text
print "----------------- span_id ----------------"
print span_id
count +=1
#!/usr/bin/python2.7
#
# Compile all resources from sourcetree using Sipred configuration
# $ rcc -binary -no-compress <resourcefile.qrc> -o <resourcefile.rcc>
#
import inspect
from subprocess import call
from locate import *
for qrc in locate('*.qrc'):
print 'Compiling resource file at:'
print qrc
rcc = qrc.replace('.qrc', '.rcc')
call(['rcc', '-binary', '-no-compress', qrc , '-o', rcc])
for rcc in locate('*.rcc'):
print 'Moving resource file to Sipred-Release/share'
call(['mv', rcc, '../Sipred-Release/share'])
#price of clothes
if 'polo' in inp:
Tsh.polo()
elif 'short sleeve' in inp:
sh.short()
elif 'long sleeve' in inp:
sh.long()
engine.say("Hi, I am the mall robot. Do you want to buy something")
engine.runAndWait()
y = input()
while y == "yes":
locate()
break
engine.say("Will you like to know the price of the item you want to purchase")
engine.runAndWait()
b = input()
while b == "yes":
price()
break
while b == 'yes':
engine.say("Do you want to buy something else")
engine.runAndWait()
c = input()
while c == 'yes':
def test_search_cwd(self):
hits = locate("testfile.txt", "./test/")
assert hits[:1] == ["./test/lvl2/testfile.txt"]
