panosteal/stitching/__init__.py

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import tempfile
import pathlib
import os
import subprocess
import PIL.Image
import math
def tiles_to_equirectangular_blender(back, right, front, left, top, bottom,
rx=0, ry=0, rz=0, tmp=None, height=1920, width=3840, keep=False):
'''
Use Blender to convert the images into an equirectangular format. This
requires both Blender and cube2sphere to be installed and in $PATH.
Will create a temporary directory to store files in if no working directory
is passed (tmp). The function will return a PIL.Image object containing the
final equirectangular image.
:param back: PIL.Image containing the "back" part of the cube map
:param right: PIL.Image containing the "right" part of the cube map
:param front: PIL.Image containing the "front" part of the cube map
:param left: PIL.Image containting the "left" part of the cube map
:param top: PIL.Image containing the "top" part of the cube map
:param bottom: PIL.Image containing the "bottom" part of the cube map
:param rx: Rotation in degrees (integer) to apply on the x axis
:param ry: Rotation in degrees (integer) to apply on the y axis
:param rz: Rotation in degrees (integer) to apply on the z axis
:param tmp: Temporary directory to use. Will create one if None is passed
:param height: Target height of the output image
:param width: Target width of the output image
:param keep: Will not clean up temporary directory if True
:return: PIL.Image object containing the equirectangular image
'''
tmpdir = tempfile.TemporaryDirectory()
if tmp and not keep:
tmpdir.name = tmp
if not tmp:
tmp = tmpdir.name
'''Blender needs actual files rather than PIL objects, so create a folder
for those.'''
try:
pathlib.Path(tmp).mkdir(parents=True, exist_ok=True)
except:
print("Failed to create temporary directory.")
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print(tmp)
raise
'''If no resolution is passed, assume the original resolution for output.'''
if not height and not width:
height = height or left.size[0] * 2
width = width or left.size[0] * 4
'''Move to temporary directory and create files for Blender to work with.'''
pre = os.getcwd()
os.chdir(tmp)
left.save("left.png")
front.save("front.png")
right.save("right.png")
back.save("back.png")
bottom.save("bottom.png")
top.save("top.png")
try:
process = subprocess.Popen(
['cube2sphere',
'front.png',
'back.png',
'right.png',
'left.png',
'top.png',
'bottom.png',
'-R', str(rx), str(ry), str(rz), # rotation on x/y/z axes
'-o', 'out',
'-f', 'png',
"-r", str(width), str(height)]
)
process.wait()
outimg = PIL.Image.open("%s/out0001.png" % tmp) # Read new image to PIL
os.chdir(pre) # Move back to previous working directory
if not keep:
tmpdir.cleanup() # Delete temporary directory to free space
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return outimg
except:
os.chdir(pre)
print("Something went wrong trying to convert to equirectangular.")
raise
def tiles_to_equirectangular(back, right, front, left, top, bottom):
'''
Use Blender to convert the images into an equirectangular format. This does
not require Blender to be installed, instead using a custom algorithm. This
is not tested thoroughly and will probably not work at this point.
The function will return a PIL.Image object containing the final
equirectangular image.
:param back: PIL.Image containing the "back" part of the cube map
:param right: PIL.Image containing the "right" part of the cube map
:param front: PIL.Image containing the "front" part of the cube map
:param left: PIL.Image containting the "left" part of the cube map
:param top: PIL.Image containing the "top" part of the cube map
:param bottom: PIL.Image containing the "bottom" part of the cube map
:return: PIL.Image object containing the equirectangular image
'''
dim = left.size[0]
raw = []
t_width = dim * 4
t_height = dim * 2
for y in range(t_height):
v = 1.0 - (float(y) / t_height)
phi = v * math.pi
for x in range(t_width):
u = float(x) / t_width
theta = u * math.pi * 2
x = math.cos(theta) * math.sin(phi)
y = math.sin(theta) * math.sin(phi)
z = math.cos(phi)
a = max(abs(x), abs(y), abs(z))
xx = x / a
yy = y / a
zz = z / a
if yy == -1:
currx = int(((-1 * math.tan(math.atan(x / y)) + 1.0) / 2.0) * dim)
ystore = int(((-1 * math.tan(math.atan(z / y)) + 1.0) / 2.0) * (dim - 1))
part = left
elif xx == 1:
currx = int(((math.tan(math.atan(y / x)) + 1.0) / 2.0) * dim)
ystore = int(((math.tan(math.atan(z / x)) + 1.0) / 2.0) * dim)
part = front
elif yy == 1:
currx = int(((-1 * math.tan(math.atan(x / y)) + 1.0) / 2.0) * dim)
ystore = int(((math.tan(math.atan(z / y)) + 1.0) / 2.0) * (dim - 1))
part = right
elif xx == -1:
currx = int(((math.tan(math.atan(y / x)) + 1.0) / 2.0) * dim)
ystore = int(((-1 * math.tan(math.atan(z / x)) + 1.0) / 2.0) * (dim - 1))
part = back
elif zz == 1:
currx = int(((math.tan(math.atan(y / z)) + 1.0) / 2.0) * dim)
ystore = int(((-1 * math.tan(math.atan(x / z)) + 1.0) / 2.0) * (dim - 1))
part = bottom
else:
currx = int(((-1 * math.tan(math.atan(y / z)) + 1.0) / 2.0) * dim)
ystore = int(((-1 * math.tan(math.atan(x / z)) + 1.0) / 2.0) * (dim - 1))
part = top
curry = (dim - 1) if ystore > (dim - 1) else ystore
if curry > (dim - 1):
curry = dim - 1
if currx > (dim - 1):
currx = dim - 1
raw.append(part.getpixel((currx, curry)))
output = PIL.Image.new("RGB", (t_width, t_height))
output.putdata(raw)
return output
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def multistitch(tiles):
'''
Takes a list of lists of lists containing PIL Image objects and stitches
them into one. Each box tile (first-order lists), line (second-order) and
column (third-order) must be equal in height and width.
:param faces: list of lists of lists containing PIL.Image objects
:return: list of stitched PIL.Image objects
'''
output = []
for tile in tiles:
output.append(stitch(tile))
return output
def stitch(images):
'''
Takes a list of lists containing PIL Image objects and stitches them into
one. Each line (first-order lists) and column (second-order) must be equal
in height and width.
:param images: list of lists containing PIL.Image objects
:return: stitched PIL.Image object
'''
t_height = 0 # Total height of resulting image
t_width = 0 # Total width of resulting image
'''Calculate height of final image by adding up heights of the first images
of each row.'''
for row in images:
w, h = row[0].size
t_height += h
'''Calculate width of final image by adding up widths of the images in the
first row.'''
for image in images[0]:
w, h = image.size
t_width += w
'''Generate output Image object using calculated height and width.'''
output = PIL.Image.new("RGB", (t_width, t_height))
curry = 0 # Current y position (top = 0)
for row in images:
currx = 0 # Current x position (left = 0)
y_offset = 0 # How far down we have to go for the next line
for image in row:
'''Paste line of images into the output image.'''
output.paste(im=image, box=(currx, curry))
w, h = image.size
currx += w
if not y_offset:
y_offset = h
curry += y_offset
return output