def renderify(filename, cols=80):
"""
Render images on the terminal with xterm 256 colors.
"""
try:
url = urllib.urlopen(filename)
im = StringIO(url.read())
im = Image.open(im)
url.close()
except:
im = Image.open(filename)
im.mode == 'RGBA'
width, height = im.size
dx = float(width) / cols
dy = 2 * dx
pixels = im.load()
buff = ''
y = 0
while (y < height):
x = 0
while (x < width):
i = round(x - 0.5) if x != 0 else x
j = round(y - 0.5) if y != 0 else y
if (len(pixels[i, j]) == 3) or (pixels[i, j][3] > 0):
color = x256.from_rgb(list(pixels[i, j])[0:3])
buff += '\033[48;5;%dm \033[0m' % color
else:
buff += ' '
x += dx
buff += '\n'
y += dy
return buff
def image_unzip(path, dim_ordering, resize, num_classes):
ignore_list = ('__', '.')
format_check = False
is_grayscale = False
data, label, label_names = [], [], []
with ZipFile(path) as archive:
classCounter = 0
all_folders = [
f for f in archive.infolist() if f.filename.endswith('/')
]
for i, cfolder in enumerate(all_folders):
if cfolder.filename.startswith(ignore_list):
continue
all_files = [
f.filename for f in archive.infolist()
if f.filename.startswith(cfolder.filename)
and not f.filename.endswith('/')
]
for f in all_files:
splits = f.split('/')
if splits[1].startswith(ignore_list):
all_files.remove(f)
if not format_check:
img = archive.read(all_files[0])
img = BytesIO(img)
img = Image.open(img)
is_grayscale = if_grayscale(img)
format_check = True
for j, cimage in enumerate(all_files):
img = archive.read(cimage)
img = BytesIO(img)
if is_grayscale:
img = Image.open(img).convert('L')
else:
img = Image.open(img).convert('RGB')
img = img.resize((resize[0], resize[1]), PIL.Image.ANTIALIAS)
img.load()
cdata = np.asarray(img, dtype="int32")
data.append(cdata)
label.append(classCounter)
label_names.append(cfolder.filename.split('/')[0])
classCounter += 1
data = np.asarray(data)
label = np.asarray(label)
label_names = np.asarray(label_names)
if (len(data.shape) == 3):
if dim_ordering == 'channels_last':
data = data.reshape(data.shape[0], data.shape[1],
data.shape[2], 1).astype('float32')
elif dim_ordering == 'channels_first':
data = data.reshape(data.shape[0], 1, data.shape[1],
data.shape[2]).astype('float32')
label = utils.to_categorical(label, num_classes)
return data, label, label_names
__author__ = "bijan" from PIL import Image from io import BytesIO from authentication import Authentication IMAGE_URL = "http://www.pythonchallenge.com/pc/return/cave.jpg" auth = Authentication(IMAGE_URL) image = BytesIO(auth.access()) image = Image.open(image) pix = image.load() new_image = Image.new(image.mode, image.size) [new_image.putpixel([i, j], pix[i, j]) for j in range(0, image.size[1], 2) for i in range(0, image.size[0], 2)] new_image.show()
