from hmms.utils import normalise
from hmms.analyzer import LETTER_MAP
print LETTER_MAP['a']
# Because we know it... FIXME
h, w = 98, 22
voc = np.load('vocabulary.npy')
text = load_text_images()
image, _ = text.next()
image, _ = text.next()
segments = find_words(image)
el = split_on(image, segments, clean=True)
im = el[0]
# load all the probability matrices we need
transition = np.load('transition.npy')
first_letter = np.load('first_letter.npy')
last_letter = np.load('last_letter.npy')
emission = np.load('emission.npy')
occurances = np.load('occurances.npy')
# Adding this by hand...
occurances[3, 0] += 0.5
emission[np.isnan(emission)] = 0
#im = imread('./data/and.png').mean(axis=2)
segments = find_letters(im)
database = []
def make_gen(bits):
for bit in bits:
yield bit
letters = load_letters()
letters_list = {}
for i in range(26):
letters_list[i] = []
for i, letter in enumerate(letters):
segments = find_letters(letter)
bits = split_on(letter, segments)
letters_list[i].append(bits)
# Computes the average space taken per letter
ave_letter = []
for letter in range(26):
m = [j.shape[1] for l in letters_list[letter] for j in l]
d = [len(l) for l in letters_list[letter]]
ave_letter.append([
sum(m) / len(letters_list[letter]),
sum(d) / len(letters_list[letter])
])
# OK, now we have all the letters initialized
num = 0
texts = load_text_images()
from hmms.utils import normalise
from hmms.analyzer import LETTER_MAP
print LETTER_MAP['a']
# Because we know it... FIXME
h, w = 98, 22
voc = np.load('vocabulary.npy')
text = load_text_images()
image, _ = text.next()
image, _ = text.next()
segments = find_words(image)
el = split_on(image, segments, clean=True)
im = el[0]
# load all the probability matrices we need
transition = np.load('transition.npy')
first_letter = np.load('first_letter.npy')
last_letter = np.load('last_letter.npy')
emission = np.load('emission.npy')
occurances = np.load('occurances.npy')
# Adding this by hand...
occurances[3, 0] += 0.5
emission[np.isnan(emission)] = 0
#im = imread('./data/and.png').mean(axis=2)
segments = find_letters(im)
from hmms.analyzer import LETTER_MAP
database = []
def make_gen(bits):
for bit in bits:
yield bit
letters = load_letters()
letters_list = {}
for i in range(26):
letters_list[i] = []
for i, letter in enumerate(letters):
segments = find_letters(letter)
bits = split_on(letter, segments)
letters_list[i].append(bits)
# Computes the average space taken per letter
ave_letter = []
for letter in range(26):
m = [j.shape[1] for l in letters_list[letter]
for j in l]
d = [len(l) for l in letters_list[letter]]
ave_letter.append(
[sum(m) / len(letters_list[letter]),
sum(d) / len(letters_list[letter])])
# OK, now we have all the letters initialized
num = 0
