#!/usr/bin/env python3 # # Copyright (c) Weitian LI # MIT license # """ Create FITS image cube from a series of image slices. """ import os import sys import argparse from datetime import datetime import numpy as np from astropy.io import fits from astropy.wcs import WCS class FITSCube: """ FITS image cube. """ def __init__(self, infile=None): if infile is not None: self.load(infile) def load(self, infile): with fits.open(infile) as f: self.data = f[0].data self.header = f[0].header print("Loaded FITS cube from file: %s" % infile) print("Cube dimensions: %dx%dx%d" % (self.width, self.height, self.nslice)) # The Z-axis position of the first slice. self.zbegin = self.header["CRVAL3"] # The Z-axis step/spacing between slices. self.zstep = self.header["CDELT3"] def add_slices(self, slices, zbegin=0.0, zstep=1.0): """ Create a FITS cube from input image slices. """ self.slices = slices self.zbegin = zbegin self.zstep = zstep nslice = len(slices) header, image = self.open_image(slices[0]) shape = (nslice, ) + image.shape data = np.zeros(shape, dtype=image.dtype) for i, s in enumerate(slices): print("[%d/%d] Adding image slice: %s ..." % (i+1, nslice, s)) hdr, img = self.open_image(s) data[i, :, :] = img self.data = data self.header = header.copy(strip=True) print("Created FITS cube of dimensions: %dx%dx%d" % (self.width, self.height, self.nslice)) @staticmethod def open_image(infile): """ Open the slice image and return its header and 2D image data. NOTE ---- The input slice image may have following dimensions: * NAXIS=2: [Y, X] * NAXIS=3: [FREQ=1, Y, X] * NAXIS=4: [STOKES=1, FREQ=1, Y, X] NOTE ---- Only open slice image that has only ONE frequency and ONE Stokes parameter. Returns ------- header : `~astropy.io.fits.Header` image : 2D `~numpy.ndarray` The 2D [Y, X] image part of the slice image. """ with fits.open(infile) as f: header = f[0].header data = f[0].data if data.ndim == 2: # NAXIS=2: [Y, X] image = data elif data.ndim == 3 and data.shape[0] == 1: # NAXIS=3: [FREQ=1, Y, X] image = data[0, :, :] elif data.ndim == 4 and data.shape[0] == 1 and data.shape[1] == 1: # NAXIS=4: [STOKES=1, FREQ=1, Y, X] image = data[0, 0, :, :] else: raise ValueError("Slice '{0}' has invalid dimensions: {1}".format( infile, data.shape)) return (header, image) @property def header(self): try: return self.header_ except AttributeError: return fits.Header() @header.setter def header(self, value): self.header_ = value for key in ["CTYPE4", "CRPIX4", "CRVAL4", "CDELT4", "CUNIT4"]: try: del self.header_[key] except KeyError: pass @property def wcs(self): w = WCS(naxis=3) w.wcs.ctype = ["pixel", "pixel", "pixel"] w.wcs.crpix = np.array([self.header.get("CRPIX1", 1.0), self.header.get("CRPIX2", 1.0), 1.0]) w.wcs.crval = np.array([self.header.get("CRVAL1", 0.0), self.header.get("CRVAL2", 0.0), self.zbegin]) w.wcs.cdelt = np.array([self.header.get("CDELT1", 1.0), self.header.get("CDELT2", 1.0), self.zstep]) return w def write(self, outfile, clobber=False): header = self.header header.extend(self.wcs.to_header(), update=True) header.add_history(datetime.now().isoformat()) header.add_history(" ".join(sys.argv)) hdu = fits.PrimaryHDU(data=self.data, header=header) try: hdu.writeto(outfile, overwrite=clobber) except TypeError: hdu.writeto(outfile, clobber=clobber) @property def width(self): __, __, w = self.data.shape return w @property def height(self): __, h, __ = self.data.shape return h @property def nslice(self): ns, __, __ = self.data.shape return ns @property def zvalues(self): """ Calculate the Z-axis positions for all slices """ nslice = self.nslice wcs = self.wcs pix = np.zeros(shape=(nslice, 3), dtype=np.int) pix[:, 2] = np.arange(nslice) world = wcs.wcs_pix2world(pix, 0) return world[:, 2] def cmd_info(args): """ Sub-command: "info", show FITS cube information """ cube = FITSCube(args.infile) print("Image/slice size: %dx%d" % (cube.width, cube.height)) print("Number of slices: %d" % cube.nslice) print("Slice step/spacing: %.3f" % cube.zstep) print("Slice positions:\n{0}".format(cube.zvalues)) def cmd_create(args): """ Sub-command: "create", create a FITS cube """ if not args.clobber and os.path.exists(args.outfile): raise FileExistsError("output file already exists: %s" % args.outfile) cube = FITSCube() cube.add_slices(args.infiles, zbegin=args.zbegin, zstep=args.zstep) cube.write(args.outfile, clobber=args.clobber) print("Created FITS cube: %s" % args.outfile) def main(): parser = argparse.ArgumentParser( description="Create FITS cube from a series of image slices.") subparsers = parser.add_subparsers(dest="subparser_name", title="sub-commands", help="additional help") # sub-command: "info" parser_info = subparsers.add_parser("info", help="show FITS cube info") parser_info.add_argument("infile", help="FITS cube filename") parser_info.set_defaults(func=cmd_info) # sub-command: "create" parser_create = subparsers.add_parser("create", help="create a FITS cube") parser_create.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_create.add_argument("-z", "--z-begin", dest="zbegin", type=float, default=0.0, help="Z-axis position of the first slice") parser_create.add_argument("-s", "--z-step", dest="zstep", type=float, default=1.0, help="Z-axis step/spacing between slices") parser_create.add_argument("-o", "--outfile", dest="outfile", required=True, help="output FITS cube filename") parser_create.add_argument("-i", "--infiles", dest="infiles", nargs="+", required=True, help="input image slices (in order)") parser_create.set_defaults(func=cmd_create) # args = parser.parse_args() args.func(args) if __name__ == "__main__": main()