def __call__(image):
from gamera.plugins import _string_io
pixel_type = image.data.pixel_type
shape = (image.nrows, image.ncols)
typecode = _typecodes[pixel_type]
if pixel_type == RGB:
shape += (3,)
return n.fromstring(_string_io._to_raw_string(image),
typecode=typecode, shape=shape)
def __call__(image):
from gamera.plugins import _string_io
pixel_type = image.data.pixel_type
shape = (image.nrows, image.ncols)
typecode = _typecodes[pixel_type]
if pixel_type == RGB:
shape += (3,)
return n.fromstring(_string_io._to_raw_string(image),
typecode=typecode, shape=shape)
def binread_sequence(self):
self.skip_blanks_and_comments()
seqtype = self.get()
elemtype = self.get()
if seqtype == '\x12': # 1D little endian sequence
shape = struct.unpack('<i', self.read(4))
endianness = 'little'
elif seqtype == '\x13': # 1D big endian sequence
shape = struct.unpack('>i', self.read(4))
endianness = 'big'
elif seqtype == '\x14': # 2D little endian sequence
shape = struct.unpack('<ii', self.read(8))
endianness = 'little'
elif seqtype == '\x15': # 2D big endian sequence
shape = struct.unpack('>ii', self.read(8))
endianness = 'big'
else:
raise TypeError(
'In binread_sequence, read invalid starting seqtype code char: '
+ seqtype)
seq = []
nelems = 1
for dim in shape:
nelems *= dim
if elemtype == '\xFF': # generic sequence
for i in xrange(nelems):
seq.append(self.binread())
if len(shape) > 1:
raise TypeError(
'Reading generic 2D sequence not yet suppored.. Must implement turning this into a list of lists...'
)
return seq
try:
atype = PL_TYPECODE_TO_ARRAYTYPE[elemtype]
except KeyError:
raise TypeError('Unsuppored array elemtype: ' + elemtype)
elemsize = int(atype[-1])
data = self.read(nelems * elemsize)
ar = numarray.fromstring(data, atype, shape)
if sys.byteorder != endianness:
ar.byteswap(True)
if self.return_lists:
ar = ar.tolist()
return ar
def binread_sequence(self):
self.skip_blanks_and_comments()
seqtype = self.get()
elemtype = self.get()
if seqtype=='\x12': # 1D little endian sequence
shape = struct.unpack('<i',self.read(4))
endianness = 'little'
elif seqtype=='\x13': # 1D big endian sequence
shape = struct.unpack('>i',self.read(4))
endianness = 'big'
elif seqtype=='\x14': # 2D little endian sequence
shape = struct.unpack('<ii',self.read(8))
endianness = 'little'
elif seqtype=='\x15': # 2D big endian sequence
shape = struct.unpack('>ii',self.read(8))
endianness = 'big'
else:
raise TypeError('In binread_sequence, read invalid starting seqtype code char: '+seqtype)
seq = []
nelems = 1
for dim in shape:
nelems *= dim
if elemtype=='\xFF': # generic sequence
for i in xrange(nelems):
seq.append(self.binread())
if len(shape)>1:
raise TypeError('Reading generic 2D sequence not yet suppored.. Must implement turning this into a list of lists...')
return seq
try:
atype = PL_TYPECODE_TO_ARRAYTYPE[elemtype]
except KeyError:
raise TypeError('Unsuppored array elemtype: '+elemtype)
elemsize = int(atype[-1])
data = self.read(nelems*elemsize)
ar = numarray.fromstring(data, atype, shape)
if sys.byteorder!=endianness:
ar.byteswap(True)
if self.return_lists:
ar = ar.tolist()
return ar
def main():
if len(sys.argv) > 1:
im_name = sys.argv[1]
else:
import tkFileDialog, Tkinter
im_name = tkFileDialog.askopenfilename(
defaultextension=".png", filetypes=((_("Depth images"), ".gif .png .jpg"), (_("All files"), "*"))
)
if not im_name:
raise SystemExit
Tkinter._default_root.destroy()
Tkinter._default_root = None
im = Image.open(im_name)
size = im.size
im = im.convert("L") # grayscale
w, h = im.size
nim = numarray.fromstring(im.tostring(), "UInt8", (h, w)).astype("Float32")
options = ui(im, nim, im_name)
step = options["pixelstep"]
depth = options["depth"]
if options["normalize"]:
a = nim.min()
b = nim.max()
if a != b:
nim = (nim - a) / (b - a)
else:
nim = nim / 255.0
maker = tool_makers[options["tool_type"]]
tool_diameter = options["tool_diameter"]
pixel_size = options["pixel_size"]
tool = make_tool_shape(maker, tool_diameter, pixel_size)
if options["expand"]:
if options["expand"] == 1:
pixel = 1
else:
pixel = 0
w, h = nim.shape
tw, th = tool.shape
w1 = w + 2 * tw
h1 = h + 2 * th
nim1 = numarray.zeros((w1, h1), "Float32") + pixel
nim1[tw : tw + w, th : th + h] = nim
nim = nim1
w, h = w1, h1
nim = nim * depth
if options["invert"]:
nim = -nim
else:
nim = nim - depth
rows = options["pattern"] != 1
columns = options["pattern"] != 0
columns_first = options["pattern"] == 3
spindle_speed = options["spindle_speed"]
if rows:
convert_rows = convert_makers[options["converter"]]()
else:
convert_rows = None
if columns:
convert_cols = convert_makers[options["converter"]]()
else:
convert_cols = None
if options["bounded"] and rows and columns:
slope = tan(options["contact_angle"] * pi / 180)
if columns_first:
convert_rows = Reduce_Scan_Lace(convert_rows, slope, step + 1)
else:
convert_cols = Reduce_Scan_Lace(convert_cols, slope, step + 1)
if options["bounded"] > 1:
if columns_first:
convert_cols = Reduce_Scan_Lace(convert_cols, slope, step + 1)
else:
convert_rows = Reduce_Scan_Lace(convert_rows, slope, step + 1)
units = unitcodes[options["units"]]
convert(
nim,
units,
tool,
pixel_size,
step,
options["safety_height"],
options["tolerance"],
options["feed_rate"],
convert_rows,
convert_cols,
columns_first,
ArcEntryCut(options["plunge_feed_rate"], 0.125),
spindle_speed,
options["roughing_offset"],
options["roughing_depth"],
options["feed_rate"],
)
def main():
if len(sys.argv) > 1:
im_name = sys.argv[1]
else:
import tkFileDialog, Tkinter
im_name = tkFileDialog.askopenfilename(defaultextension=".png",
filetypes=((_("Depth images"),
".gif .png .jpg"),
(_("All files"),
"*")))
if not im_name: raise SystemExit
Tkinter._default_root.destroy()
Tkinter._default_root = None
im = Image.open(im_name)
size = im.size
im = im.convert("L") #grayscale
w, h = im.size
nim = numarray.fromstring(im.tostring(), 'UInt8', (h, w)).astype('Float32')
options = ui(im, nim, im_name)
step = options['pixelstep']
depth = options['depth']
if options['normalize']:
a = nim.min()
b = nim.max()
if a != b:
nim = (nim - a) / (b - a)
else:
nim = nim / 255.0
maker = tool_makers[options['tool_type']]
tool_diameter = options['tool_diameter']
pixel_size = options['pixel_size']
tool = make_tool_shape(maker, tool_diameter, pixel_size)
if options['expand']:
if options['expand'] == 1: pixel = 1
else: pixel = 0
w, h = nim.shape
tw, th = tool.shape
w1 = w + 2 * tw
h1 = h + 2 * th
nim1 = numarray.zeros((w1, h1), 'Float32') + pixel
nim1[tw:tw + w, th:th + h] = nim
nim = nim1
w, h = w1, h1
nim = nim * depth
if options['invert']:
nim = -nim
else:
nim = nim - depth
rows = options['pattern'] != 1
columns = options['pattern'] != 0
columns_first = options['pattern'] == 3
spindle_speed = options['spindle_speed']
if rows: convert_rows = convert_makers[options['converter']]()
else: convert_rows = None
if columns: convert_cols = convert_makers[options['converter']]()
else: convert_cols = None
if options['bounded'] and rows and columns:
slope = tan(options['contact_angle'] * pi / 180)
if columns_first:
convert_rows = Reduce_Scan_Lace(convert_rows, slope, step + 1)
else:
convert_cols = Reduce_Scan_Lace(convert_cols, slope, step + 1)
if options['bounded'] > 1:
if columns_first:
convert_cols = Reduce_Scan_Lace(convert_cols, slope, step + 1)
else:
convert_rows = Reduce_Scan_Lace(convert_rows, slope, step + 1)
units = unitcodes[options['units']]
convert(nim, units, tool, pixel_size, step, options['safety_height'],
options['tolerance'], options['feed_rate'], convert_rows,
convert_cols, columns_first,
ArcEntryCut(options['plunge_feed_rate'],
.125), spindle_speed, options['roughing_offset'],
options['roughing_depth'], options['feed_rate'])
