OpenDroneMap-ODM/opendm/objpacker/imagepacker/imagepacker.py

240 wiersze
7.5 KiB
Python

#! /usr/bin/python
# The MIT License (MIT)
# Copyright (c) 2015 Luke Gaynor
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import rasterio
import numpy as np
import math
# Based off of the great writeup, demo and code at:
# http://codeincomplete.com/posts/2011/5/7/bin_packing/
class Block():
"""A rectangular block, to be packed"""
def __init__(self, w, h, data=None, padding=0):
self.w = w
self.h = h
self.x = None
self.y = None
self.fit = None
self.data = data
self.padding = padding # not implemented yet
def __str__(self):
return "({x},{y}) ({w}x{h}): {data}".format(
x=self.x,y=self.y, w=self.w,h=self.h, data=self.data)
class _BlockNode():
"""A BlockPacker node"""
def __init__(self, x, y, w, h, used=False, right=None, down=None):
self.x = x
self.y = y
self.w = w
self.h = h
self.used = used
self.right = right
self.down = down
def __repr__(self):
return "({x},{y}) ({w}x{h})".format(x=self.x,y=self.y,w=self.w,h=self.h)
class BlockPacker():
"""Packs blocks of varying sizes into a single, larger block"""
def __init__(self):
self.root = None
def fit(self, blocks):
nblocks = len(blocks)
w = blocks[0].w# if nblocks > 0 else 0
h = blocks[0].h# if nblocks > 0 else 0
self.root = _BlockNode(0,0, w,h)
for block in blocks:
node = self.find_node(self.root, block.w, block.h)
if node:
# print("split")
node_fit = self.split_node(node, block.w, block.h)
block.x = node_fit.x
block.y = node_fit.y
else:
# print("grow")
node_fit = self.grow_node(block.w, block.h)
block.x = node_fit.x
block.y = node_fit.y
def find_node(self, root, w, h):
if root.used:
# raise Exception("used")
node = self.find_node(root.right, w, h)
if node:
return node
return self.find_node(root.down, w, h)
elif w <= root.w and h <= root.h:
return root
else:
return None
def split_node(self, node, w, h):
node.used = True
node.down = _BlockNode(
node.x, node.y + h,
node.w, node.h - h
)
node.right = _BlockNode(
node.x + w, node.y,
node.w - w, h
)
return node
def grow_node(self, w, h):
can_grow_down = w <= self.root.w
can_grow_right = h <= self.root.h
# try to keep the packing square
should_grow_right = can_grow_right and self.root.h >= (self.root.w + w)
should_grow_down = can_grow_down and self.root.w >= (self.root.h + h)
if should_grow_right:
return self.grow_right(w, h)
elif should_grow_down:
return self.grow_down(w, h)
elif can_grow_right:
return self.grow_right(w, h)
elif can_grow_down:
return self.grow_down(w, h)
else:
raise Exception("no valid expansion avaliable!")
def grow_right(self, w, h):
old_root = self.root
self.root = _BlockNode(
0, 0,
old_root.w + w, old_root.h,
down=old_root,
right=_BlockNode(self.root.w, 0, w, self.root.h),
used=True
)
node = self.find_node(self.root, w, h)
if node:
return self.split_node(node, w, h)
else:
return None
def grow_down(self, w, h):
old_root = self.root
self.root = _BlockNode(
0, 0,
old_root.w, old_root.h + h,
down=_BlockNode(0, self.root.h, self.root.w, h),
right=old_root,
used=True
)
node = self.find_node(self.root, w, h)
if node:
return self.split_node(node, w, h)
else:
return None
def crop_by_extents(image, extent):
if min(extent.min_x,extent.min_y) < 0 or max(extent.max_x,extent.max_y) > 1:
print("\tWARNING! UV Coordinates lying outside of [0:1] space!")
_, h, w = image.shape
minx = max(math.floor(extent.min_x*w), 0)
miny = max(math.floor(extent.min_y*h), 0)
maxx = min(math.ceil(extent.max_x*w), w)
maxy = min(math.ceil(extent.max_y*h), h)
image = image[:, miny:maxy, minx:maxx]
delta_w = maxx - minx
delta_h = maxy - miny
# offset from origin x, y, horizontal scale, vertical scale
changes = (minx, miny, delta_w / w, delta_h / h)
return (image, changes)
def pack(obj, background=(0,0,0,0), format="PNG", extents=None):
blocks = []
image_name_map = {}
profile = None
for mat in obj['materials']:
filename = obj['materials'][mat]
with rasterio.open(filename, 'r') as f:
profile = f.profile
image = f.read()
image = np.flip(image, axis=1)
changes = None
if extents and extents[mat]:
image, changes = crop_by_extents(image, extents[mat])
image_name_map[filename] = image
_, h, w = image.shape
# using filename so we can pass back UV info without storing it in image
blocks.append(Block(w, h, data=(filename, mat, changes)))
# sort by width, descending (widest first)
blocks.sort(key=lambda block: -block.w)
packer = BlockPacker()
packer.fit(blocks)
# output_image = Image.new("RGBA", (packer.root.w, packer.root.h))
output_image = np.zeros((profile['count'], packer.root.h, packer.root.w), dtype=profile['dtype'])
uv_changes = {}
for block in blocks:
fname, mat, changes = block.data
image = image_name_map[fname]
_, im_h, im_w = image.shape
uv_changes[mat] = {
"offset": (
# should be in [0, 1] range
(block.x - (changes[0] if changes else 0))/output_image.shape[2],
# UV origin is bottom left, PIL assumes top left!
(block.y - (changes[1] if changes else 0))/output_image.shape[1]
),
"aspect": (
((1/changes[2]) if changes else 1) * (im_w/output_image.shape[2]),
((1/changes[3]) if changes else 1) * (im_h/output_image.shape[1])
),
}
output_image[:, block.y:block.y + im_h, block.x:block.x + im_w] = image
output_image = np.flip(output_image, axis=1)
return output_image, uv_changes, profile