def _loadBitmap(self, fileName):
image = neuroptikon.loadImage(fileName)
if image is None or not image.IsOk():
image = wx.EmptyImage(32, 32)
if platform.system() == 'Windows':
image.Rescale(16, 16, wx.IMAGE_QUALITY_HIGH)
return image.ConvertToBitmap()
def _loadBitmap(self, fileName):
image = neuroptikon.loadImage(fileName)
if image is None or not image.IsOk():
image = wx.EmptyImage(32, 32)
if platform.system() == 'Windows':
image.Rescale(16, 16, wx.IMAGE_QUALITY_HIGH)
return image.ConvertToBitmap()
def bitmap(cls):
bitmap = None
try:
image = neuroptikon.loadImage("Texture.png")
if image is not None and image.IsOk():
bitmap = wx.BitmapFromImage(image)
except:
pass
return bitmap
def bitmap(cls):
bitmap = None
try:
image = neuroptikon.loadImage("Ontology.png")
if image is not None and image.IsOk():
bitmap = wx.BitmapFromImage(image)
except:
pass
return bitmap
def image(cls):
"""
Return an image (a wx.Image) representing a generic instance of this type of object.
If no image is available then None will be returned.
"""
image = neuroptikon.loadImage(cls.__name__ + ".png")
if image != None and not image.IsOk():
image = None
return image
def loadBitmap(self, fileName, size = None):
image = neuroptikon.loadImage(fileName)
if image is None or not image.IsOk():
image = wx.EmptyImage(32, 32)
if size is not None:
image.Rescale(size[0], size[1], wx.IMAGE_QUALITY_HIGH)
elif platform.system() == 'Windows':
image.Rescale(16, 16, wx.IMAGE_QUALITY_HIGH)
elif platform.system() == 'Linux':
image.Rescale(32, 32, wx.IMAGE_QUALITY_HIGH)
return image.ConvertToBitmap()
