def discretize(chan_r, chan_g, chan_b, n=50):
"""Split the list down into blocks and calculate their mean.
Results in a smaller (original_len / n) list with approximated values.
:param chan_r: Iterable of the red channel
:param chan_g: Iterable of the green channel
:param chan_b: Iterable of the blue channel
:param n: How big the block size shall be.
:returns: A generator that yields the new list lazily.
"""
group_r = grouper(chan_r, n)
group_g = grouper(chan_g, n)
group_b = grouper(chan_b, n)
mean = lambda group: sum(group) / n
for red, green, blue in zip(group_r, group_g, group_b):
yield mean(red), mean(green), mean(blue)
def read_moodbar_values(path):
"""Read a vector of RGB triples from a mood-file (as produced by moodbar).
:param path: The path where the mood file is located.
:returns: A list of 1000 RGB Triples.
"""
with open(path, 'rb') as f:
return [tuple(rgb) for rgb in grouper(f.read(), n=3)]
def discretize(chan_r, chan_g, chan_b, n=50):
"""Split the list down into blocks and calculate their mean.
Results in a smaller (original_len / n) list with approximated values.
:param chan_r: Iterable of the red channel
:param chan_g: Iterable of the green channel
:param chan_b: Iterable of the blue channel
:param n: How big the block size shall be.
:returns: A generator that yields the new list lazily.
"""
group_r = grouper(chan_r, n)
group_g = grouper(chan_g, n)
group_b = grouper(chan_b, n)
mean = lambda group: sum(group) / n
for red, green, blue in zip(group_r, group_g, group_b):
yield mean(red), mean(green), mean(blue)
def read_moodbar_values(path):
"""Read a vector of RGB triples from a mood-file (as produced by moodbar).
:param path: The path where the mood file is located.
:returns: A list of 1000 RGB Triples.
"""
with open(path, 'rb') as f:
return [tuple(rgb) for rgb in grouper(f.read(), n=3)]
def read_moodbar_values(path):
rgb_values = deque()
with open(path, 'rb') as handle:
vector = handle.read()
if len(vector) is 0:
raise OSError('broken moodbar file: ' + path)
for rgb in grouper(vector, n=3):
rgb_values.append(tuple(c / 0xff for c in rgb))
return list(rgb_values)
def read_moodbar_values(path):
rgb_values = deque()
with open(path, 'rb') as handle:
vector = handle.read()
if len(vector) is 0:
raise OSError('broken moodbar file: ' + path)
for rgb in grouper(vector, n=3):
rgb_values.append(tuple(c / 0xff for c in rgb))
return list(rgb_values)
