def run(self, para = None): imgs = readGif(para['path']) for i in range(len(imgs)): if imgs[i].ndim==3 and imgs[i].shape[2]>3: imgs[i] = imgs[i][:,:,:3].copy() fp, fn = os.path.split(para['path']) fn, fe = os.path.splitext(fn) IPy.show_img(imgs, fn)
def processImage(infile):
driedlist = [[],[],[],[]]
frames = gifs.readGif(infile,True)
for frame in frames:
for i in range( frame.shape[2] ):
driedlist[i].append(frame[:,:,i])
# print "chan, frames, height, width:\n",len(driedlist),len(driedlist[0]),len(driedlist[0][0]),len(driedlist[0][0][0])
return (driedlist, len( driedlist[0] ), (len(driedlist[0][0]), len(driedlist[0][0][0])))
def movieRead(filename, asNumpy=True, **kwargs):
""" movieRead(filename, asNumpy=True)
Read the movie from GIF, SWF, AVI (or MPG), or a series of images (PNG,
JPG,TIF,BMP).
Parameters
----------
filename : string
The name of the file that contains the movie. For a series of images,
the `*` wildcard can be used.
asNumpy : bool
If True, returns a list of numpy arrays. Otherwise return
a list if PIL images.
Notes
------
Reading AVI requires the "ffmpeg" application:
* Most linux users can install it using their package manager
* There is a windows installer on the visvis website
"""
# Get extension
EXT = os.path.splitext(filename)[1]
EXT = EXT[1:].upper()
# Start timer
t0 = time.time()
# Write
if EXT == 'GIF':
images = readGif(filename, asNumpy, **kwargs)
elif EXT == 'SWF':
images = readSwf(filename, asNumpy, **kwargs)
elif EXT in videoTypes:
images = readAvi(filename, asNumpy, **kwargs)
elif EXT in imageTypes:
images = readIms(filename, asNumpy, **kwargs)
else:
raise ValueError('Given file extension not valid: '+EXT)
# Stop timer
t1 = time.time()
dt = t1-t0
# Notify
if images:
print "Read %i frames from %s in %1.2f seconds (%1.0f ms/frame)" % (
len(images), EXT, dt, 1000*dt/len(images))
else:
print "Could not read any images."
# Done
return images
def movieRead(filename, asNumpy=True, **kwargs):
""" movieRead(filename, asNumpy=True)
Read the movie from GIF, SWF, AVI (or MPG), or a series of images (PNG,
JPG,TIF,BMP).
Parameters
----------
filename : string
The name of the file that contains the movie. For a series of images,
the `*` wildcard can be used.
asNumpy : bool
If True, returns a list of numpy arrays. Otherwise return
a list if PIL images.
Notes
------
Reading AVI requires the "ffmpeg" application:
* Most linux users can install it using their package manager
* There is a windows installer on the visvis website
"""
# Get extension
EXT = os.path.splitext(filename)[1]
EXT = EXT[1:].upper()
# Start timer
t0 = time.time()
# Write
if EXT == 'GIF':
images = readGif(filename, asNumpy, **kwargs)
elif EXT == 'SWF':
images = readSwf(filename, asNumpy, **kwargs)
elif EXT in videoTypes:
images = readAvi(filename, asNumpy, **kwargs)
elif EXT in imageTypes:
images = readIms(filename, asNumpy, **kwargs)
else:
raise ValueError('Given file extension not valid: ' + EXT)
# Stop timer
t1 = time.time()
dt = t1 - t0
# Notify
if images:
print "Read %i frames from %s in %1.2f seconds (%1.0f ms/frame)" % (
len(images), EXT, dt, 1000 * dt / len(images))
else:
print "Could not read any images."
# Done
return images
def __init__(self, original_file, action_tuples=[], quality=80, output_path=None, **kwargs):
if not os.path.exists(original_file) or not os.path.isfile(original_file):
self.im = None
else:
self.im = Image.open(original_file)
if 'duration' in self.im.info and self.im.format == 'GIF':
self.duration = int(self.im.info['duration']) / 1000.0
self.frames = images2gif.readGif(original_file, False)
else:
self.duration = None
self.frames = []
self.output_path = output_path
self.original_file = original_file
self.actions = action_tuples
self.cropname = None
self.quality = quality
def resizegif(filename):
# base_gif = imageio.mimread(filename)
# reader = imageio.get_reader(filename)
# new_gif = []
# new_name = filename[0:len(filename)-4]+'_new.gif'
# print(new_name)
# print(reader.get_data(index))
# dur = reader.get_meta_data()['duration']
# for frame in base_gif:
# frame = Image.resize((frame.size[1]/2,frame.size[2]/2))
# new_gif.append(frame)
# imageio.mimsave(new_name, new_gif, fps=dur)
frames = images2gif.readGif("Abra.gif",False)
for frame in frames:
frame.thumbnail((100,100), Image.ANTIALIAS)
images2gif.writeGif('abranew.gif', frames)
def generate_thumbnail(self,
thumbnail_options,
high_resolution=False,
silent_template_exception=False):
"""
Return an unsaved ``ThumbnailFile`` containing a thumbnail image.
The thumbnail image is generated using the ``thumbnail_options``
dictionary.
"""
thumbnail_options = self.get_options(thumbnail_options)
orig_size = thumbnail_options['size'] # remember original size
# Size sanity check.
min_dim, max_dim = 0, 0
for dim in orig_size:
try:
dim = int(dim)
except (TypeError, ValueError):
continue
min_dim, max_dim = min(min_dim, dim), max(max_dim, dim)
if max_dim == 0 or min_dim < 0:
raise exceptions.EasyThumbnailsError(
"The source image is an invalid size (%sx%s)" % orig_size)
if high_resolution:
thumbnail_options['size'] = (orig_size[0] * 2, orig_size[1] * 2)
image = engine.generate_source_image(
self,
thumbnail_options,
self.source_generators,
fail_silently=silent_template_exception)
if image is None:
raise exceptions.InvalidImageFormatError(
"The source file does not appear to be an image")
thumbnail_image = None
IS_GIF = False
if isinstance(image, GifImageFile):
IS_GIF = True
import images2gif
gif_image, gif_params = images2gif.readGif(image, False)
frames = []
for frame in gif_image:
thumbnail_frame = engine.process_image(
frame, thumbnail_options, self.thumbnail_processors)
frames.append(thumbnail_frame)
if thumbnail_image is None:
thumbnail_image = frame
else:
thumbnail_image = engine.process_image(image, thumbnail_options,
self.thumbnail_processors)
if high_resolution:
thumbnail_options['size'] = orig_size # restore original size
filename = self.get_thumbnail_name(
thumbnail_options,
transparent=utils.is_transparent(thumbnail_image),
high_resolution=high_resolution)
quality = thumbnail_options['quality']
subsampling = thumbnail_options['subsampling']
if IS_GIF:
try:
# try save with speedup
img = images2gif.writeGif(frames, **gif_params)
saved = True
except:
# if not saved, simple save
gif_params.update({
'subRectangles': False,
})
img = images2gif.writeGif(frames, **gif_params)
else:
img = engine.save_image(thumbnail_image,
filename=filename,
quality=quality,
subsampling=subsampling)
data = img.read()
thumbnail = ThumbnailFile(filename,
file=ContentFile(data),
storage=self.thumbnail_storage,
thumbnail_options=thumbnail_options)
thumbnail.image = thumbnail_image
thumbnail._committed = False
return thumbnail
def __init__(self, path):
Grid.__init__(self)
self.frame = 0
self.frames = images2gif.readGif(path, False)
[frame.thumbnail((32, 32), Image.ANTIALIAS) for frame in self.frames]
def load_video(video_path):
return np.array(images2gif.readGif(video_path, True))
def generate_thumbnail(self, thumbnail_options, high_resolution=False,
silent_template_exception=False):
"""
Return an unsaved ``ThumbnailFile`` containing a thumbnail image.
The thumbnail image is generated using the ``thumbnail_options``
dictionary.
"""
thumbnail_options = self.get_options(thumbnail_options)
orig_size = thumbnail_options['size'] # remember original size
# Size sanity check.
min_dim, max_dim = 0, 0
for dim in orig_size:
try:
dim = int(dim)
except (TypeError, ValueError):
continue
min_dim, max_dim = min(min_dim, dim), max(max_dim, dim)
if max_dim == 0 or min_dim < 0:
raise exceptions.EasyThumbnailsError(
"The source image is an invalid size (%sx%s)" % orig_size)
if high_resolution:
thumbnail_options['size'] = (orig_size[0] * 2, orig_size[1] * 2)
image = engine.generate_source_image(
self, thumbnail_options, self.source_generators,
fail_silently=silent_template_exception)
if image is None:
raise exceptions.InvalidImageFormatError(
"The source file does not appear to be an image")
thumbnail_image = None
IS_GIF = False
if isinstance(image, GifImageFile):
IS_GIF = True
import images2gif
gif_image, gif_params = images2gif.readGif(image, False)
frames = []
for frame in gif_image:
thumbnail_frame = engine.process_image(frame, thumbnail_options,
self.thumbnail_processors)
frames.append(thumbnail_frame)
if thumbnail_image is None:
thumbnail_image = frame
else:
thumbnail_image = engine.process_image(image, thumbnail_options,
self.thumbnail_processors)
if high_resolution:
thumbnail_options['size'] = orig_size # restore original size
filename = self.get_thumbnail_name(
thumbnail_options,
transparent=utils.is_transparent(thumbnail_image),
high_resolution=high_resolution)
quality = thumbnail_options['quality']
subsampling = thumbnail_options['subsampling']
if IS_GIF:
try:
# try save with speedup
img = images2gif.writeGif(frames, **gif_params)
saved = True
except:
# if not saved, simple save
gif_params.update({'subRectangles': False,})
img = images2gif.writeGif(frames, **gif_params)
else:
img = engine.save_image(
thumbnail_image, filename=filename, quality=quality,
subsampling=subsampling)
data = img.read()
thumbnail = ThumbnailFile(
filename, file=ContentFile(data), storage=self.thumbnail_storage,
thumbnail_options=thumbnail_options)
thumbnail.image = thumbnail_image
thumbnail._committed = False
return thumbnail
