def wrapper(self, *args, **kwargs):
# Setup variables
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
out_bufs = ffi.gc(ffi.new("unsigned char**"), _turbojpeg_cleanup)
out_bufs[0] = ffi.NULL
out_sizes = ffi.new("unsigned long*")
tjhandle = ffi.gc(lib.tjInitTransform(), lib.tjDestroy)
# Call the wrapped function with the transformoption struct
transformoption = func(self, *args, **kwargs)
# Execute transformation
rv = lib.tjTransform(tjhandle, in_data_p, in_data_len, 1,
out_bufs, out_sizes, transformoption, 0)
if rv < 0:
raise Exception("Transformation failed: {0}"
.format(ffi.string(lib.tjGetErrorStr())))
_weak_keydict[out_bufs[0]] = out_bufs
return bytearray(ffi.buffer(out_bufs[0], out_sizes[0])[:])
def wrapper(self, *args, **kwargs):
# Setup variables
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
out_bufs = ffi.gc(ffi.new("unsigned char**"), _turbojpeg_cleanup)
out_bufs[0] = ffi.NULL
out_sizes = ffi.new("unsigned long*")
tjhandle = ffi.gc(lib.tjInitTransform(), lib.tjDestroy)
# Call the wrapped function with the transformoption struct
transformoption = func(self, *args, **kwargs)
# Execute transformation
rv = lib.tjTransform(tjhandle, in_data_p, in_data_len, 1, out_bufs,
out_sizes, transformoption, 0)
if rv < 0:
raise Exception("Transformation failed: {0}".format(
ffi.string(lib.tjGetErrorStr())))
_weak_keydict[out_bufs[0]] = out_bufs
return bytearray(ffi.buffer(out_bufs[0], out_sizes[0])[:])
def get_dimensions(self):
width = ffi.new("int*")
height = ffi.new("int*")
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
img = ffi.gc(lib.epeg_memory_open(in_data_p, in_data_len),
lib.epeg_close)
lib.epeg_size_get(img, width, height)
return (width[0], height[0])
def get_dimensions(self):
width = ffi.new("int*")
height = ffi.new("int*")
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
img = ffi.gc(lib.epeg_memory_open(in_data_p, in_data_len),
lib.epeg_close)
lib.epeg_size_get(img, width, height)
return (width[0], height[0])
def scale(self, width, height, quality=75):
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
img = ffi.gc(lib.epeg_memory_open(in_data_p, in_data_len),
lib.epeg_close)
lib.epeg_decode_size_set(img, width, height)
lib.epeg_quality_set(img, quality)
pdata = ffi.gc(ffi.new("unsigned char **"), _epeg_free_buffer)
psize = ffi.new("int*")
lib.epeg_memory_output_set(img, pdata, psize)
lib.epeg_encode(img)
_weak_keydict[pdata[0]] = pdata
return bytearray(ffi.buffer(pdata[0], psize[0])[:])
def scale(self, width, height, quality=75):
in_data_len = len(self._data)
in_data_p = ffi.new("unsigned char[]", in_data_len)
inbuf = ffi.buffer(in_data_p, in_data_len)
inbuf[:] = self._data
img = ffi.gc(lib.epeg_memory_open(in_data_p, in_data_len),
lib.epeg_close)
lib.epeg_decode_size_set(img, width, height)
lib.epeg_quality_set(img, quality)
pdata = ffi.gc(ffi.new("unsigned char **"), _epeg_free_buffer)
psize = ffi.new("int*")
lib.epeg_memory_output_set(img, pdata, psize)
lib.epeg_encode(img)
_weak_keydict[pdata[0]] = pdata
return bytearray(ffi.buffer(pdata[0], psize[0])[:])
def crop(self, x, y, width, height):
options = self._get_transformoptions()
options.r = ffi.new("tjregion*")[0]
options.r.w = width
options.r.h = height
options.r.x = x
options.r.y = y
options.options = lib.TJXOPT_CROP
return options
def crop(self, x, y, width, height):
options = self._get_transformoptions()
options.r = ffi.new("tjregion*")[0]
options.r.w = width
options.r.h = height
options.r.x = x
options.r.y = y
options.options = lib.TJXOPT_CROP
return options
def _get_transformoptions(self, perfect=False, trim=False):
# Initialize jpeg_transform_info struct
options = ffi.new("tjtransform*")
options.op = lib.TJXOP_NONE
options.options = 0
if perfect:
options.options |= lib.TJXOPT_PERFECT
if trim:
options.options |= lib.TJXOPT_TRIM
return options
def _get_transformoptions(self, perfect=False, trim=False):
# Initialize jpeg_transform_info struct
options = ffi.new("tjtransform*")
options.op = lib.TJXOP_NONE
options.options = 0
if perfect:
options.options |= lib.TJXOPT_PERFECT
if trim:
options.options |= lib.TJXOPT_TRIM
return options
