def _merge_images(pathbuilder, configs):
merged_image = None
compare_pb = pathbuilder.clone(build=output.DEFAULT_BUILD_NAME)
for c in configs:
pb = compare_pb.clone(config=c)
tagimage = image.normalize_img(pb.tagimage)
image.add_label(image=tagimage, label=c)
if not merged_image:
merged_image = tagimage
else:
merged_image = image.merge_images(merged_image, tagimage)
return merged_image
def __write_merged_image(file1, file2, diff, jobname):
assert os.path.exists(file1), "file1 doesn't exist at path {}".format(file1)
assert os.path.exists(file2), "file2 doesn't exist at path {}".format(file2)
assert isinstance(jobname, basestring), "jobname is not a string!"
compare_name = __get_compare_name(file1, file2)
# Generate additional info in output
mergedimg = image.merge_images(file1, file2)
info = {"name": compare_name, "diff": diff}
mergedimg2 = image.add_info(mergedimg, info)
compare_dir = output.COMPARE_PATH
build_dir = os.path.join(compare_dir, jobname)
if not os.path.exists(build_dir):
os.makedirs(build_dir)
merged_path = os.path.join(build_dir, compare_name + ".png")
LOGGER.debug("Writing merged image file at %s", merged_path)
mergedimg2.save(open(merged_path, 'wb'))
LOGGER.warning("%s produced diff=%s", compare_name, diff)
import image
#open fits file
img = image.open_fits_file('http://data.astropy.org/tutorials/FITS-images/HorseHead.fits')
#print details of file
image.print_img_details(img)
#extract samples
samples = image.extract_samples(img, 200, 10)
#reconstruct image
reconstruct = image.reconstruct_samples(samples, img.shape, 10)
#reconstruct image with standard deviation samples
reconstruct_stdev = image.calculate_stdev(samples, img.shape, 10)
#overlay stdev samples over image
image.merge_images(img, reconstruct_stdev)
#animation with standard deviation
image.slicing_animation(img, 100, 10)
