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