def processors(self):
model, field_name = get_field_info(self.source)
min_dim = min(model.original.width, model.original.height)
return [
SmartCrop(width=min_dim, height=min_dim),
ResizeToFill(width=500, height=500)
]
def processors(self):
""" Dynamically create the list of image processors using the model
instance. """
instance, field_name = get_field_info(self.source)
return [
ExifGpsExtractor(instance),
ResizeToFit(1000, 1000, False),
]
def processors(self):
model, field_name = get_field_info(self.source)
size = (225, 175)
return [
ResizeToFit(*size),
]
def processors(self):
""" Dynamically create the list of image processors using the model
instance. """
instance, field_name = get_field_info(self.source)
return [
ExifGpsExtractor(instance),
ResizeToFit(1000, 1000, False),
]
def processors(self):
model, field_name = get_field_info(self.source)
min_dim = min(model.image_file.width, model.image_file.height)
return [
Crop(width=min_dim,
height=min_dim,
x=int(-1 * model.image_x * model.image_file.width),
y=int(-1 * model.image_y * model.image_file.height))
]
def processors(self):
instance, field_name = get_field_info(self.source)
cache = instance.cache.filter(
resolution=CACHE_RESOLUTION.preview).first()
if not cache or not path.isfile(cache.file.path):
return []
return [
ComposeSample(cache.file.path, instance.needs_shadow),
ResizeToFit(*self.size)
]
def processors(self):
model, field_name = get_field_info(self.source)
min_dim = min(model.image_file.width, model.image_file.height)
return [
Crop(
width=min_dim,
height=min_dim,
x=int(-1 * model.image_x * model.image_file.width),
y=int(-1 * model.image_y * model.image_file.height),
)
]
def __init__(self, source, specs): instance, attname = get_field_info(source) self.specs = specs #Apply specs to instance for attr_name in specs: setattr(self, attr_name, specs[attr_name]) self.source = source self.instance = instance self.attname = attname self.init_processors() super(InstanceSpec, self).__init__(source)
def __init__(self, source, specs):
instance, attname = get_field_info(source)
self.specs = specs
#Apply specs to instance
for attr_name in specs:
setattr(self, attr_name, specs[attr_name])
self.source = source
self.instance = instance
self.attname = attname
self.init_processors()
super(InstanceSpec, self).__init__(source)
def processors(self):
""" Dynamically create the list of image processors using the model
instance. """
# August 2018: found that this code no longer seems to be
# able to produce a model instance as it must have in the past.
# When this happens, the ExifGpsExtractor image processor below
# cannot save any extracted latitude or longitude coordinates.
# TODO: debug and resolve, or else extract and save coordinates
# another way (such as client side).
print(('processors(): self.source:', self.source))
print(('processors(): type(self.source):', type(self.source)))
instance, field_name = get_field_info(self.source)
print(('processors() instance:', instance))
print(('processors() field_name:', field_name))
return [
ExifGpsExtractor(instance),
ResizeToFit(1000, 1000, False),
]
def processors(self):
""" Dynamically create the list of image processors using the model
instance. """
# August 2018: found that this code no longer seems to be
# able to produce a model instance as it must have in the past.
# When this happens, the ExifGpsExtractor image processor below
# cannot save any extracted latitude or longitude coordinates.
# TODO: debug and resolve, or else extract and save coordinates
# another way (such as client side).
print 'processors(): self.source:', self.source
print 'processors(): type(self.source):', type(self.source)
instance, field_name = get_field_info(self.source)
print 'processors() instance:', instance
print 'processors() field_name:', field_name
return [
ExifGpsExtractor(instance),
ResizeToFit(1000, 1000, False),
]
def processors(self):
model, field_name = get_field_info(self.source)
crop_width = int(model.original.width)
crop_height = min(model.original.height, int(crop_width * 3.0 / 5.0))
return [SmartCrop(width=crop_width, height=crop_height)]
def processors(self):
model, field_name = get_field_info(self.source)
min_dim = min(model.original.width, model.original.height)
return [SmartCrop(width=min_dim, height=min_dim), ResizeToFill(width=500, height=500)]
def processors(self):
model, field_name = get_field_info(self.source)
if model.image.height > model.image.width:
return [ResizeToFill(250, 352)]
else:
return [ResizeToFill(250, 169)]
def processors(self):
model, field_name = get_field_info(self.source)
# return [ResizeToFill(model.album_cover.width/3,
# model.album_cover.height/3)]
return [ResizeToFill(800, 600)]
def processors(self):
model, field_name = get_field_info(self.source)
return [ResizeToFill(600, 600, anchor=model.anchor)]
def processors(self):
model, field_name = get_field_info(self.source)
return [processors.Crop(model.width, model.width, anchor=processors.Anchor.TOP)]
def processors(self):
model, field_name = get_field_info(self.source)
crop_width = int(model.original.width)
crop_height = min(model.original.height, int(crop_width * 3.0 / 5.0))
return [SmartCrop(width=crop_width, height=crop_height)]
def processors(self):
model, field_name = get_field_info(self.source)
color = convert_to_rgb(model.watermark_color)
return [Watermark(text=COPY_WRITE, color=color), ResizeToFit(600, 600)]
def processors(self):
model, field_name = get_field_info(self.source)
return [ResizeToFill(model.width, model.height)]
def processors(self):
model, field_name = get_field_info(self.source)
return [RotateEXIF(model.orientation), ResizeToFill(200, 130)]
def processors(self):
model, field_name = get_field_info(self.source)
return [ResizeToFill(model.THUMB_WIDTH, model.THUMB_HEIGHT)]
def processors(self):
model, field = get_field_info(self.source)
return [ResizeToFit(400)]
def processors(self):
model, field_name = get_field_info(self.source)
if model.img.width > 800:
return [RotateEXIF(model.orientation), ResizeToFit(1280, 700)]
else:
return [RotateEXIF(model.orientation)]
