celutz/panorama/tasks.py

# -*- coding: utf-8 -*-
from __future__ import unicode_literals, division, print_function, absolute_import

import os
import subprocess
import tempfile

from celery import shared_task, chain

from .gen_tiles import gen_tiles


@shared_task
def generate_tiles(*args, **kwargs):
    return gen_tiles(*args, **kwargs)

# Pipeline of hugin-based panorama generation
# TODO: do something with the return code of the subprocess calls

@shared_task
def pto_gen(output_pto, images):
    # Projection type 1 is cylindrical
    subprocess.call(["pto_gen", "-p", "1", "-o", output_pto] + images)
    return output_pto

@shared_task
def cpfind(input_pto, output_pto):
    subprocess.call(["cpfind", "-o", output_pto, "--multirow", "--celeste", input_pto])
    return output_pto

@shared_task
def cpclean(input_pto, output_pto):
    subprocess.call(["cpclean", "-o", output_pto, input_pto])
    return output_pto

@shared_task
def linefind(input_pto, output_pto):
    subprocess.call(["linefind", "-o", output_pto, input_pto])
    return output_pto

@shared_task
def autooptimiser(input_pto, output_pto):
    subprocess.call(["autooptimiser", "-a", "-m", "-l", "-s", "-o", output_pto, input_pto])
    return output_pto

@shared_task
def autocrop(input_pto, output_pto):
    subprocess.call(["pano_modify", "--canvas=AUTO", "--crop=AUTO", "-o", output_pto, input_pto])
    return output_pto

@shared_task
def generate_pano(input_pto, dirname, output_image):
    project_name = output_image[output_image.rfind(".tif")]
    output_name = os.path.join(dirname, project_name)
    # hugin_executor is only available since hugin 2015.0
    # return subprocess.call(["hugin_executor", "--prefix", output_name, input_pto])
    makefile_name = os.path.join(dirname, "celery_pano.mk")
    subprocess.call(["pto2mk", "-o", makefile_name, "-p", project_name, input_pto])
    return subprocess.call(["make", "-f", makefile_name])

@shared_task
def panorama_pipeline(images, output_image):
    """Automatically assemble a panorama, using Hugin in headless mode.
    [output_image] is the name of the desired output image.  Must be a .tif
    image for now.
    """
    d = tempfile.mkdtemp(prefix='celery_hugin')
    pto = lambda filename: os.path.join(d, filename + ".pto")
    pipeline = pto_gen.s(pto("pto_gen"), images) | \
               cpfind.s(pto("cpfind")) | \
               cpclean.s(pto("cpclean")) | \
               linefind.s(pto("linefind")) | \
               autooptimiser.s(pto("autooptimiser")) | \
               autocrop.s(pto("autocrop")) | \
               generate_pano.s(d, output_image)
    return pipeline()