def finish_response(self, app_iter):
if not self.scale:
self.start_response(self.status, self.headers)
self.output = app_iter
return
CONTENT_LENGTH.delete(self.headers)
inBuffer = StringIO()
try:
for s in app_iter:
self.logger.debug("Writing %d bytes into image buffer." %
len(s))
inBuffer.write(s)
finally:
if hasattr(app_iter, 'close'):
app_iter.close()
rawImg = Blob()
rawImg.data = inBuffer.getvalue()
inBuffer.close()
image = Image(rawImg)
self.logger.debug("Scaling image to %s" % self.scaled_size)
image.scale(self.scaled_size[0])
image.write(self.outbuffer)
content_length = self.outbuffer.length()
CONTENT_LENGTH.update(self.headers, content_length)
CACHE_CONTROL.update(self.headers, s_maxage=CACHE_CONTROL.ONE_HOUR)
self.start_response(self.status, self.headers)
def finish_response(self, app_iter):
if not self.scale:
self.start_response(self.status, self.headers)
self.output = app_iter
return
CONTENT_LENGTH.delete(self.headers)
inBuffer = StringIO()
try:
for s in app_iter:
self.logger.debug("Writing %d bytes into image buffer." % len(s))
inBuffer.write(s)
finally:
if hasattr(app_iter, 'close'):
app_iter.close()
rawImg = Blob()
rawImg.data = inBuffer.getvalue()
inBuffer.close()
image = Image(rawImg)
self.logger.debug("Scaling image to %s" % self.scaled_size)
image.scale(self.scaled_size[0])
image.write(self.outbuffer)
content_length = self.outbuffer.length()
CONTENT_LENGTH.update(self.headers, content_length)
CACHE_CONTROL.update(self.headers, s_maxage=CACHE_CONTROL.ONE_HOUR)
self.start_response(self.status, self.headers)
def NumpytoIM(img, usm=None, verbose=False):
if verbose:
print "Converting numpy array to ImageMagick"
out_img = PMImage()
if img.dtype == 'uint16':
out_img.depth(16)
else:
out_img.depth(8)
out_img.magick('RGB')
h,w,c = img.shape
size_str = str(w)+'x'+str(h)
out_img.size(size_str)
b = Blob()
b.data = img.tostring()
out_img.read(b)
out_img.magick('PNG')
# Check if USM sharpening should be used
if usm != None:
if verbose:
print "Running unsharp mask filter"
r,s,a,t = (usm)
out_img.unsharpmask(r,s,a,t)
return out_img
def to_imagemagick(img, bits=16):
'''Convert numpy array to Imagemagick format.
:param img: image to convert
:type img: Numpy ndarray
:rtype: PythonMagick.Image
'''
if not isinstance(img, PMImage):
img = _scale(img, bits=bits)
LOGGER.debug("Converting from Numpy to ImageMagick.")
out_img = PMImage()
if img.dtype == np.uint8:
out_img.depth(8)
else:
out_img.depth(16)
shape = img.shape
# Convert also B&W images to 3-channel arrays
if len(shape) == 2:
tmp = np.empty((shape[0], shape[1], 3), dtype=img.dtype)
tmp[:, :, 0] = img
tmp[:, :, 1] = img
tmp[:, :, 2] = img
img = tmp
out_img.magick('RGB')
out_img.size(str(shape[1]) + 'x' + str(shape[0]))
blob = Blob()
blob.data = img.tostring()
out_img.read(blob)
out_img.magick('PNG')
return out_img
return img