def list_of_frames(img_name):
"""Return the list of frames for an image file.
Details are as described in the imgimport_intelligent docstring.
"""
img = Image.open(img_name)
imglist = []
try:
for i in xrange(8):
if img.mode == 'I':
imdata = np.asarray(img, dtype=np.int16)
else:
imdata = np.asarray(img, dtype=np.float32)
# fix 3-channel TIFF images
if np.rank(imdata) == 3:
imdata = imdata[:, :,
0] + 256 * imdata[:, :,
1] + 65536 * imdata[:, :, 2]
imglist.append(imdata)
img.seek(i + 1) # next frame
except EOFError:
pass
if not imglist:
raise ImportError, 'No frames detected in file %s' % img_name
else:
return imglist
def import_rawframes(img_name):
"""Opens an image file containing three frames
The datatype has to be set to float in Winview, otherwise there is a
strange problem reading the frames; support for 16-bit tif files is
lacking a bit in PIL.
**Inputs**
* img_name: string containing the full path to an image
**Outputs**
* img_array: 3D array, containing the three frames of the image
"""
img = Image.open(img_name)
# note the reversed order because Image and asarray have reversed order
img_array = np.zeros((img.size[1], img.size[0], 3), dtype=np.float32)
img_array[:, :, 0] = np.asarray(img, dtype=np.float32)
try:
img.seek(1) # next frame
img_array[:, :, 1] = np.asarray(img, dtype=np.float32)
img.seek(2) # next frame
img_array[:, :, 2] = np.asarray(img, dtype=np.float32)
except EOFError:
print 'This image contains less than 3 frames'
return None
return img_array
def import_rawframes(img_name):
"""Opens an image file containing three frames
The datatype has to be set to float in Winview, otherwise there is a
strange problem reading the frames; support for 16-bit tif files is
lacking a bit in PIL.
**Inputs**
* img_name: string containing the full path to an image
**Outputs**
* img_array: 3D array, containing the three frames of the image
"""
img = Image.open(img_name)
# note the reversed order because Image and asarray have reversed order
img_array = np.zeros((img.size[1], img.size[0], 3), dtype=np.float32)
img_array[:, :, 0] = np.asarray(img, dtype=np.float32)
try:
img.seek(1) # next frame
img_array[:, :, 1] = np.asarray(img, dtype=np.float32)
img.seek(2) # next frame
img_array[:, :, 2] = np.asarray(img, dtype=np.float32)
except EOFError:
print 'This image contains less than 3 frames'
return None
return img_array
def list_of_frames(img_name):
"""Return the list of frames for an image file.
Details are as described in the imgimport_intelligent docstring.
"""
img = Image.open(img_name)
imglist = []
try:
for i in xrange(8):
if img.mode == 'I':
imdata = np.asarray(img, dtype=np.int16)
else:
imdata = np.asarray(img, dtype=np.float32)
# fix 3-channel TIFF images
if np.rank(imdata)==3:
imdata = imdata[:,:,0] + 256*imdata[:,:,1] + 65536*imdata[:,:,2]
imglist.append(imdata)
img.seek(i+1) # next frame
except EOFError:
pass
if not imglist:
raise ImportError, 'No frames detected in file %s' %img_name
else:
return imglist
def import_rawimage(img_name):
"""Opens an image file and returns it as an array."""
im = Image.open(img_name)
return np.asarray(im)
def import_rawimage(img_name):
"""Opens an image file and returns it as an array."""
im = Image.open(img_name)
return np.asarray(im)