def resizeQuery(self, processed_images):
percent = self.getParamContent("Resize (%)")
if percent == 100:
return processed_images
else:
method = self.getParamContent('Resize method')
for name in processed_images:
processed_images[name] = filter_base.resize(
processed_images[name], percent=percent, method=method)
return processed_images
def resizeQuery(self, processed_images):
percent = self.getParamContent("Resize (%)")
if percent == 100:
return processed_images
else:
method = self.getParamContent('Resize method')
for name in processed_images:
processed_images[name] = filter_base.resize(processed_images[name],
percent=percent, method=method)
return processed_images
def process(self, input_images, connected_outs):
new_height = int(self.getParamContent('New height'))
new_width = int(self.getParamContent('New width'))
percent = self.getParamContent('Percent of original size')
aspect = self.getParamContent('Aspect ratio (width:height)')
if percent == 0: percent = 0.02
if aspect == 0: aspect = 0.02
resize_method = self.getParamContent('Resize method')
processed_images= {}
for i in (0,1,2):
if (self.input_names[i] in input_images and
self.output_names[i] in connected_outs):
choice = self.getParamContent('Resize by')
image = input_images[self.input_names[i]]
if choice == 'percent and aspect ratio':
if percent == 100 and aspect == 1:
res = image
else:
res = filter_base.resize(image,
percent = percent,
aspect_ratio = aspect,
method = resize_method)
elif choice == 'width and height':
res = filter_base.resize(image,
new_W = new_width,
new_H = new_height,
method = resize_method)
elif choice == 'width and automatic height':
res = filter_base.resize(image,
new_W = new_width,
method = resize_method)
elif choice == 'height and automatic width':
res = filter_base.resize(image,
new_H = new_height,
method = resize_method)
if resize_method == 'Bicubic' and image.dtype == 'f':
res = res.clip(min=image.min(),max=image.max())
processed_images[self.output_names[i]] = res
return processed_images
def processParams(self):
param_dict = self.getParam_dict()
if isEqualDicts(param_dict,self.last_params): return
kernel = self.createKernel(**(param_dict))
self.last_params=param_dict
self.last_kernel = kernel
self.abortQuery()
kernel = filter_base.make_uint8(kernel)
kernel_rz = filter_base.resize(kernel, percent=800)
# if self.kernel_fig is None:
# self.kernel_fig = mpl.pyplot.figure(figsize=(3, 2), dpi=100)
# self.kernel_plt = self.kernel_fig.add_subplot(111)
# self.kernel_fig.clear()
# self.kernel_plt.imshow(kernel, cmap=mpl.cm.gray)
self.setParamContent("Kernel", kernel_rz, emitSignal=True)
def processParams(self):
param_dict = self.getParam_dict()
if isEqualDicts(param_dict, self.last_params): return
kernel = self.createKernel(**(param_dict))
self.last_params = param_dict
self.last_kernel = kernel
self.abortQuery()
kernel = filter_base.make_uint8(kernel)
kernel_rz = filter_base.resize(kernel, percent=800)
# if self.kernel_fig is None:
# self.kernel_fig = mpl.pyplot.figure(figsize=(3, 2), dpi=100)
# self.kernel_plt = self.kernel_fig.add_subplot(111)
# self.kernel_fig.clear()
# self.kernel_plt.imshow(kernel, cmap=mpl.cm.gray)
self.setParamContent("Kernel", kernel_rz, emitSignal=True)
