panosteal/tempsteal/__init__.py

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2020-05-19 09:53:16 +00:00
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_%i_%i.jpg"
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 % (l+1, 0, 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 % (maxzoom, tile, 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