本文整理匯總了Python中EMAN.image2list方法的典型用法代碼示例。如果您正苦於以下問題：Python EMAN.image2list方法的具體用法？Python EMAN.image2list怎麽用？Python EMAN.image2list使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類EMAN的用法示例。
在下文中一共展示了EMAN.image2list方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: main
# 需要導入模塊: import EMAN [as 別名]
# 或者: from EMAN import image2list [as 別名]
def main():
(options, input_imagefiles, output_lstfile) = parse_command_line()
Particle.sym = options.sym
Particle.max_ang_diff = options.max_ang_diff * math.pi/180.0
Particle.max_cen_diff = options.max_cen_diff
image_lists = []
for f in input_imagefiles: # build the image sets
tmp_image_list = EMAN.image2list(f)
# first check and remove duplicate images
seen = sets.Set()
tmp_image_list2 = []
for i, img in enumerate(tmp_image_list):
imgid = "%s-%d" % (os.path.abspath(img[0]), img[1])
if imgid in seen:
print "%s: particle %d/%d (%s %d) is a duplicate image, ignored" % (f, i, len(tmp_image_list), img[0], img[1])
else:
seen.add(imgid)
tmp_image_list2.append(img)
image_list = sets.Set()
for i, img in enumerate(tmp_image_list2):
p = Particle(img)
image_list.add(p)
print "%s: %d images" % (f, len(image_list))
image_lists.append( image_list )
all_images = image_lists[0]
print "Begining with %d images in %s" % (len(all_images), input_imagefiles[0])
for i in range(1,len(image_lists)):
image_list = image_lists[i]
if options.mode == "common": # all_images & imageset
all_images = intersection(all_images, image_list)
print "%d common images after processing %d images in %s" % ( len(all_images), len(image_list), input_imagefiles[i] )
elif options.mode == "union":
all_images = union(all_images, image_list) # all_images | imageset
print "%d images after merging %d images in %s" % ( len(all_images), len(image_list), input_imagefiles[i] )
elif options.mode == "diff":
all_images = difference(all_images,image_list) # all_images-imageset
print "%d different images after processing %d images in %s" % ( len(all_images), len(image_list), input_imagefiles[i] )
elif options.mode == "symdiff":
all_images = symmetric_difference(all_images,image_list) # all_images ^ imageset
print "%d different images after processing %d images in %s" % ( len(all_images), len(image_list), input_imagefiles[i] )
all_images=list(all_images)
all_images.sort()
all_images_output_list = [i.image for i in all_images]
if len(all_images_output_list):
print "%d images saved to %s" % ( len(all_images_output_list), output_lstfile )
EMAN.imagelist2lstfile(all_images_output_list, output_lstfile)
else:
print "No image left after the image sets operation"