import PIL.Image import urllib.request import io import math import subprocess import tempfile import pathlib import os from stitching import tiles_to_equirectangular_blender, multistitch def krpano_normalize(url): ''' Takes the URL of any image in a krpano panorama and returns a string with substitutable variables for image IDs. :param url: URL of an image contained in a krpano panorama :return: string with substitutable variables or False if URL invalid ''' try: with urllib.request.urlopen(url) as res: assert res.getcode() == 200 parts = url.split("/") assert "_" in parts[-1] parts[-1] = "%i_%i.jpg" parts[-2] = "%i" parts[-3] = "%i" return "/".join(parts) except: return False def krpano_getmaxzoom(schema): ''' Takes a normalized string from krpano_normalize() and returns the maximum zoom level available. :param schema: normalized URL format output by krpano_normalize() :return: int value of largest available zoom level ''' l = 0 while True: try: url = schema % (0, l+1, 0, 0) with urllib.request.urlopen(url) as res: assert res.getcode() == 200 l += 1 except: return l def krpano_export(schema): ''' Takes a normalized string from krpano_normalize() and returns a list of lists of lists containing all images fit for passing into stitch(). :param schema: normalized URL format output by krpano_normalize() :return: list of lists of lists of PIL.Image() objects for multistitch() ''' maxzoom = krpano_getmaxzoom(schema) output = [] for tile in range(6): t_array = [] y = 0 while True: r_array = [] x = 0 while True: try: res = urllib.request.urlopen(schema % (tile, maxzoom, y, x)) assert res.getcode() == 200 fo = io.BytesIO(res.read()) img = PIL.Image.open(fo) r_array.append(img) x += 1 except Exception as e: break if not r_array: break t_array.append(r_array) y += 1 output.append(t_array) return output def krpano_export_simple(url): ''' Exports krpano panoramas which only consist of six complete tiles. Takes the URL of one of these images and returns a list of PIL.Image objects :param url: URL of one of the images :return: list of PIL.Image objects ''' output = [] for i in "frblud": cur = url[:-5] + i + url[-4:] res = urllib.request.urlopen(cur) assert res.getcode() == 200 fo = io.BytesIO(res.read()) output += [PIL.Image.open(fo)] return output def krpano_make_tiles(url): ''' Determines the type of processing needed to build the six tiles, then creates and returns them. :param urL: URL of any image in a krpano panorama :return: list of stitched PIL.Image objects (back, right, front, left, top, bottom) ''' parts = url.split("/") try: if "pano_" in parts[-1]: return krpano_export_simple(url) else: schema = krpano_normalize(url) images = krpano_export(schema) return multistitch(images) except: raise raise ValueError("%s does not seem to be a valid krpano URL." % url) def krpano_to_equirectangular(url, rotation=[0,0,0], resolution=[3840,1920]): ''' Takes the URL of any image in a krpano panorama and returns a finished stitched image. :param url: Image URL :return: PIL.Image object containing the final image ''' stitched = krpano_make_tiles(url) function = tiles_to_equirectangular_blender rx, ry, rz = rotation width, height = resolution return function(*stitched, rx=rx, ry=ry, rz=rz, width=width, height=height) process_url = krpano_to_equirectangular