Merge branch 'master' of https://github.com/OpenDroneMap/ODM into add-video2dataset

pull/1567/head
Piero Toffanin 2023-01-18 11:23:18 -05:00
commit 94d0fedc0d
24 zmienionych plików z 635 dodań i 18 usunięć

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@ -53,7 +53,7 @@ jobs:
if: startsWith(github.ref, 'refs/tags/')
with:
repo_token: ${{ secrets.GITHUB_TOKEN }}
file: dist\*.exe
file: dist/*.exe
file_glob: true
tag: ${{ github.ref }}
overwrite: true

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@ -29,7 +29,8 @@ FROM ubuntu:21.04
# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/lib/python3.9:/code/SuperBuild/install/lib/python3.8/dist-packages:/code/SuperBuild/install/bin/opensfm" \
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib" \
PDAL_DRIVER_PATH="/code/SuperBuild/install/bin"
WORKDIR /code

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@ -25,7 +25,7 @@ ExternalProject_Add(${_proj_name}
#--Download step--------------
DOWNLOAD_DIR ${SB_DOWNLOAD_DIR}
GIT_REPOSITORY https://github.com/OpenDroneMap/OpenSfM/
GIT_TAG 302
GIT_TAG 303
#--Update/Patch step----------
UPDATE_COMMAND git submodule update --init --recursive
#--Configure step-------------

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@ -1 +1 @@
3.0.2
3.0.3

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@ -27,7 +27,8 @@ FROM nvidia/cuda:11.2.0-runtime-ubuntu20.04
# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/lib/python3.9/dist-packages:/code/SuperBuild/install/lib/python3.8/dist-packages:/code/SuperBuild/install/bin/opensfm" \
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib" \
PDAL_DRIVER_PATH="/code/SuperBuild/install/bin"
WORKDIR /code

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@ -43,6 +43,7 @@ Source: "licenses\*"; DestDir: "{app}\licenses"; Flags: ignoreversion recursesub
Source: "opendm\*"; DestDir: "{app}\opendm"; Excludes: "__pycache__"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "stages\*"; DestDir: "{app}\stages"; Excludes: "__pycache__"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "SuperBuild\install\bin\*"; DestDir: "{app}\SuperBuild\install\bin"; Excludes: "__pycache__"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "SuperBuild\install\lib\python3.8\*"; DestDir: "{app}\SuperBuild\install\lib\python3.8\*"; Excludes: "__pycache__"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "venv\*"; DestDir: "{app}\venv"; Excludes: "__pycache__,pyvenv.cfg"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "python38\*"; DestDir: "{app}\python38"; Excludes: "__pycache__"; Flags: ignoreversion recursesubdirs createallsubdirs
Source: "console.bat"; DestDir: "{app}"; Flags: ignoreversion

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@ -389,6 +389,13 @@ def config(argv=None, parser=None):
help='Filters the point cloud by keeping only a single point around a radius N (in meters). This can be useful to limit the output resolution of the point cloud and remove duplicate points. Set to 0 to disable sampling. '
'Default: %(default)s')
parser.add_argument('--pc-skip-geometric',
action=StoreTrue,
nargs=0,
default=False,
help='Geometric estimates improve the accuracy of the point cloud by computing geometrically consistent depthmaps but may not be usable in larger datasets. This flag disables geometric estimates. '
'Default: %(default)s')
parser.add_argument('--pc-tile',
action=StoreTrue,
nargs=0,
@ -447,6 +454,13 @@ def config(argv=None, parser=None):
help=('Keep faces in the mesh that are not seen in any camera. '
'Default: %(default)s'))
parser.add_argument('--texturing-single-material',
action=StoreTrue,
nargs=0,
default=False,
help=('Generate OBJs that have a single material and a single texture file instead of multiple ones. '
'Default: %(default)s'))
parser.add_argument('--gcp',
metavar='<path string>',
action=StoreValue,

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@ -56,11 +56,10 @@ def rectify(lasFile, debug=False, reclassify_threshold=5, min_area=750, min_poin
reclassify_plan='median', reclassify_threshold=reclassify_threshold, \
extend_plan='surrounding', extend_grid_distance=5, \
min_area=min_area, min_points=min_points)
log.ODM_INFO('Created %s in %s' % (lasFile, datetime.now() - start))
except Exception as e:
raise Exception("Error rectifying ground in file %s: %s" % (lasFile, str(e)))
log.ODM_WARNING("Error rectifying ground in file %s: %s" % (lasFile, str(e)))
log.ODM_INFO('Created %s in %s' % (lasFile, datetime.now() - start))
return lasFile
error = None

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@ -26,7 +26,7 @@ def has_popsift_and_can_handle_texsize(width, height):
from opensfm import pypopsift
fits = pypopsift.fits_texture(int(width * 1.02), int(height * 1.02))
if not fits:
log.ODM_WARNING("Image size (%sx%spx) would not fit in GPU memory, falling back to CPU" % (width, height))
log.ODM_WARNING("Image size (%sx%spx) would not fit in GPU memory, try lowering --feature-quality. Falling back to CPU" % (width, height))
return fits
except (ModuleNotFoundError, ImportError):
return False

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@ -0,0 +1 @@
from .objpacker import obj_pack

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@ -0,0 +1 @@
from .imagepacker import pack

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@ -0,0 +1,239 @@
#! /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

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@ -0,0 +1,53 @@
#! /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.
class AABB():
def __init__(self, min_x=None, min_y=None, max_x=None, max_y=None):
self.min_x = min_x
self.min_y = min_y
self.max_x = max_x
self.max_y = max_y
def add(self, x,y):
self.min_x = min(self.min_x, x) if self.min_x is not None else x
self.min_y = min(self.min_y, y) if self.min_y is not None else y
self.max_x = max(self.max_x, x) if self.max_x is not None else x
self.max_y = max(self.max_y, y) if self.max_y is not None else y
def uv_wrap(self):
return (self.max_x - self.min_x, self.max_y - self.min_y)
def tiling(self):
if self.min_x and self.max_x and self.min_y and self.max_y:
if self.min_x < 0 or self.min_y < 0 or self.max_x > 1 or self.max_y > 1:
return (self.max_x - self.min_x, self.max_y - self.min_y)
return None
def __repr__(self):
return "({},{}) ({},{})".format(
self.min_x,
self.min_y,
self.max_x,
self.max_y
)

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@ -0,0 +1,235 @@
import os
import rasterio
import warnings
import numpy as np
try:
from .imagepacker.utils import AABB
from .imagepacker import pack
except ImportError:
from imagepacker.utils import AABB
from imagepacker import pack
warnings.filterwarnings("ignore", category=rasterio.errors.NotGeoreferencedWarning)
def load_obj(obj_path, _info=print):
if not os.path.isfile(obj_path):
raise IOError("Cannot open %s" % obj_path)
obj_base_path = os.path.dirname(os.path.abspath(obj_path))
obj = {
'filename': os.path.basename(obj_path),
'root_dir': os.path.dirname(os.path.abspath(obj_path)),
'mtl_filenames': [],
'materials': {},
}
uvs = []
faces = {}
current_material = "_"
with open(obj_path) as f:
_info("Loading %s" % obj_path)
for line in f:
if line.startswith("mtllib "):
# Materials
mtl_file = "".join(line.split()[1:]).strip()
obj['materials'].update(load_mtl(mtl_file, obj_base_path, _info=_info))
obj['mtl_filenames'].append(mtl_file)
# elif line.startswith("v "):
# # Vertices
# vertices.append(list(map(float, line.split()[1:4])))
elif line.startswith("vt "):
# UVs
uvs.append(list(map(float, line.split()[1:3])))
# elif line.startswith("vn "):
# normals.append(list(map(float, line.split()[1:4])))
elif line.startswith("usemtl "):
mtl_name = "".join(line.split()[1:]).strip()
if not mtl_name in obj['materials']:
raise Exception("%s material is missing" % mtl_name)
current_material = mtl_name
elif line.startswith("f "):
if current_material not in faces:
faces[current_material] = []
a,b,c = line.split()[1:]
at = int(a.split("/")[1])
bt = int(b.split("/")[1])
ct = int(c.split("/")[1])
faces[current_material].append((at - 1, bt - 1, ct - 1))
obj['uvs'] = np.array(uvs, dtype=np.float32)
obj['faces'] = faces
return obj
def load_mtl(mtl_file, obj_base_path, _info=print):
mtl_file = os.path.join(obj_base_path, mtl_file)
if not os.path.isfile(mtl_file):
raise IOError("Cannot open %s" % mtl_file)
mats = {}
current_mtl = ""
with open(mtl_file) as f:
for line in f:
if line.startswith("newmtl "):
current_mtl = "".join(line.split()[1:]).strip()
elif line.startswith("map_Kd ") and current_mtl:
map_kd_filename = "".join(line.split()[1:]).strip()
map_kd = os.path.join(obj_base_path, map_kd_filename)
if not os.path.isfile(map_kd):
raise IOError("Cannot open %s" % map_kd)
mats[current_mtl] = map_kd
return mats
def write_obj_changes(obj_file, mtl_file, uv_changes, single_mat, output_dir, _info=print):
with open(obj_file) as f:
obj_lines = f.readlines()
out_lines = []
uv_lines = []
current_material = None
printed_mtllib = False
printed_usemtl = False
_info("Transforming UV coordinates")
for line_idx, line in enumerate(obj_lines):
if line.startswith("mtllib"):
if not printed_mtllib:
out_lines.append("mtllib %s\n" % mtl_file)
printed_mtllib = True
else:
out_lines.append("# \n")
elif line.startswith("usemtl"):
if not printed_usemtl:
out_lines.append("usemtl %s\n" % single_mat)
printed_usemtl = True
else:
out_lines.append("# \n")
current_material = line[7:].strip()
elif line.startswith("vt"):
uv_lines.append(line_idx)
out_lines.append(line)
elif line.startswith("f"):
for v in line[2:].split():
parts = v.split("/")
if len(parts) >= 2 and parts[1]:
uv_idx = int(parts[1]) - 1 # uv indexes start from 1
uv_line_idx = uv_lines[uv_idx]
uv_line = obj_lines[uv_line_idx][3:]
uv = [float(uv.strip()) for uv in uv_line.split()]
if current_material and current_material in uv_changes:
changes = uv_changes[current_material]
uv[0] = uv[0] * changes["aspect"][0] + changes["offset"][0]
uv[1] = uv[1] * changes["aspect"][1] + changes["offset"][1]
out_lines[uv_line_idx] = "vt %s %s\n" % (uv[0], uv[1])
out_lines.append(line)
else:
out_lines.append(line)
out_file = os.path.join(output_dir, os.path.basename(obj_file))
_info("Writing %s" % out_file)
with open(out_file, 'w') as f:
f.writelines(out_lines)
def write_output_tex(img, profile, path, _info=print):
_, w, h = img.shape
profile['width'] = w
profile['height'] = h
if 'tiled' in profile:
profile['tiled'] = False
_info("Writing %s (%sx%s pixels)" % (path, w, h))
with rasterio.open(path, 'w', **profile) as dst:
for b in range(1, img.shape[0] + 1):
dst.write(img[b - 1], b)
sidecar = path + '.aux.xml'
if os.path.isfile(sidecar):
os.unlink(sidecar)
def write_output_mtl(src_mtl, mat_file, dst_mtl):
with open(src_mtl, 'r') as src:
lines = src.readlines()
out = []
found_map = False
single_mat = None
for l in lines:
if l.startswith("newmtl"):
single_mat = "".join(l.split()[1:]).strip()
out.append(l)
elif l.startswith("map_Kd"):
out.append("map_Kd %s\n" % mat_file)
break
else:
out.append(l)
with open(dst_mtl, 'w') as dst:
dst.write("".join(out))
if single_mat is None:
raise Exception("Could not find material name in file")
return single_mat
def obj_pack(obj_file, output_dir=None, _info=print):
if not output_dir:
output_dir = os.path.join(os.path.dirname(os.path.abspath(obj_file)), "packed")
obj = load_obj(obj_file, _info=_info)
if not obj['mtl_filenames']:
raise Exception("No MTL files found, nothing to do")
if os.path.abspath(obj_file) == os.path.abspath(os.path.join(output_dir, os.path.basename(obj_file))):
raise Exception("This will overwrite %s. Choose a different output directory" % obj_file)
if len(obj['mtl_filenames']) <= 1 and len(obj['materials']) <= 1:
raise Exception("File already has a single material, nothing to do")
# Compute AABB for UVs
_info("Computing texture bounds")
extents = {}
for material in obj['materials']:
bounds = AABB()
faces = obj['faces'][material]
for f in faces:
for uv_idx in f:
uv = obj['uvs'][uv_idx]
bounds.add(uv[0], uv[1])
extents[material] = bounds
_info("Binary packing...")
output_image, uv_changes, profile = pack(obj, extents=extents)
mtl_file = obj['mtl_filenames'][0]
mat_file = os.path.basename(obj['materials'][next(iter(obj['materials']))])
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
write_output_tex(output_image, profile, os.path.join(output_dir, mat_file), _info=_info)
single_mat = write_output_mtl(os.path.join(obj['root_dir'], mtl_file), mat_file, os.path.join(output_dir, mtl_file))
write_obj_changes(obj_file, mtl_file, uv_changes, single_mat, output_dir, _info=_info)
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description="Packs textured .OBJ Wavefront files into a single materials")
parser.add_argument("obj", help="Path to the .OBJ file")
parser.add_argument("-o","--output-dir", help="Output directory")
args = parser.parse_args()
obj_pack(args.obj, args.output_dir)

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@ -216,8 +216,8 @@ def merge(input_ortho_and_ortho_cuts, output_orthophoto, orthophoto_vars={}):
left, bottom, right, top = src.bounds
xs.extend([left, right])
ys.extend([bottom, top])
if src.profile["count"] < 4:
raise ValueError("Inputs must be at least 4-band rasters")
if src.profile["count"] < 2:
raise ValueError("Inputs must be at least 2-band rasters")
dst_w, dst_s, dst_e, dst_n = min(xs), min(ys), max(xs), max(ys)
log.ODM_INFO("Output bounds: %r %r %r %r" % (dst_w, dst_s, dst_e, dst_n))

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@ -12,9 +12,11 @@ RS_DATABASE = {
'dji fc6310': 33, # Phantom 4 Professional
'dji fc7203': 20, # Mavic Mini v1
'dji fc2103': 32, # DJI Mavic Air 1
'dji fc3170': 27, # DJI Mavic Air 2
'dji fc3411': 32, # DJI Mavic Air 2S
'dji fc220': 64, # DJI Mavic Pro (Platinum)
'hasselblad l1d-20c': lambda p: 47 if p.get_capture_megapixels() < 17 else 56, # DJI Mavic 2 Pro (at 16:10 => 16.8MP 47ms, at 3:2 => 19.9MP 56ms. 4:3 has 17.7MP with same image height as 3:2 which can be concluded as same sensor readout)
'dji fc3582': lambda p: 26 if p.get_capture_megapixels() < 48 else 60, # DJI Mini 3 pro (at 48MP readout is 60ms, at 12MP it's 26ms)

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@ -7,6 +7,7 @@ import subprocess
import string
import signal
import io
import shutil
from collections import deque
from opendm import context
@ -144,3 +145,30 @@ def which(program):
p=os.path.join(p,program)
if os.path.exists(p) and os.access(p,os.X_OK):
return p
def link_file(src, dst):
if os.path.isdir(dst):
dst = os.path.join(dst, os.path.basename(src))
if not os.path.isfile(dst):
if sys.platform == 'win32':
os.link(src, dst)
else:
os.symlink(os.path.relpath(os.path.abspath(src), os.path.dirname(os.path.abspath(dst))), dst)
def move_files(src, dst):
if not os.path.isdir(dst):
raise IOError("Not a directory: %s" % dst)
for f in os.listdir(src):
if os.path.isfile(os.path.join(src, f)):
shutil.move(os.path.join(src, f), dst)
def delete_files(folder, exclude=()):
if not os.path.isdir(folder):
return
for f in os.listdir(folder):
if os.path.isfile(os.path.join(folder, f)):
if not exclude or not f.endswith(exclude):
os.unlink(os.path.join(folder, f))

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@ -113,7 +113,7 @@ class ODM_Reconstruction(object):
# Convert GCP file to a UTM projection since the rest of the pipeline
# does not handle other SRS well.
rejected_entries = []
utm_gcp = GCPFile(gcp.create_utm_copy(output_gcp_file, filenames=[p.filename for p in self.photos], rejected_entries=rejected_entries, include_extras=False))
utm_gcp = GCPFile(gcp.create_utm_copy(output_gcp_file, filenames=[p.filename for p in self.photos], rejected_entries=rejected_entries, include_extras=True))
if not utm_gcp.exists():
raise RuntimeError("Could not project GCP file to UTM. Please double check your GCP file for mistakes.")

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@ -29,7 +29,8 @@ FROM ubuntu:21.04
# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/lib/python3.9/dist-packages:/code/SuperBuild/install/lib/python3.8/dist-packages:/code/SuperBuild/install/bin/opensfm" \
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib" \
PDAL_DRIVER_PATH="/code/SuperBuild/install/bin"
WORKDIR /code

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@ -7,6 +7,7 @@ from opendm import context
from opendm import types
from opendm.multispectral import get_primary_band_name
from opendm.photo import find_largest_photo_dim
from opendm.objpacker import obj_pack
class ODMMvsTexStage(types.ODM_Stage):
def process(self, args, outputs):
@ -129,6 +130,26 @@ class ODMMvsTexStage(types.ODM_Stage):
'{labelingFile} '
'{maxTextureSize} '.format(**kwargs))
# Single material?
if args.texturing_single_material and r['primary'] and (not r['nadir'] or args.skip_3dmodel):
log.ODM_INFO("Packing to single material")
packed_dir = os.path.join(r['out_dir'], 'packed')
if io.dir_exists(packed_dir):
log.ODM_INFO("Removing old packed directory {}".format(packed_dir))
shutil.rmtree(packed_dir)
try:
obj_pack(os.path.join(r['out_dir'], tree.odm_textured_model_obj), packed_dir, _info=log.ODM_INFO)
# Move packed/* into texturing folder
system.delete_files(r['out_dir'], (".vec", ))
system.move_files(packed_dir, r['out_dir'])
if os.path.isdir(packed_dir):
os.rmdir(packed_dir)
except Exception as e:
log.ODM_WARNING(str(e))
# Backward compatibility: copy odm_textured_model_geo.mtl to odm_textured_model.mtl
# for certain older WebODM clients which expect a odm_textured_model.mtl
# to be present for visualization
@ -137,7 +158,7 @@ class ODMMvsTexStage(types.ODM_Stage):
if io.file_exists(geo_mtl):
nongeo_mtl = os.path.join(r['out_dir'], 'odm_textured_model.mtl')
shutil.copy(geo_mtl, nongeo_mtl)
progress += progress_per_run
self.update_progress(progress)
else:

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@ -165,5 +165,5 @@ class ODMOrthoPhotoStage(types.ODM_Stage):
else:
log.ODM_WARNING('Found a valid orthophoto in: %s' % tree.odm_orthophoto_tif)
if args.optimize_disk_space and io.file_exists(tree.odm_orthophoto_render):
if io.file_exists(tree.odm_orthophoto_render):
os.remove(tree.odm_orthophoto_render)

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@ -86,7 +86,10 @@ class ODMOpenMVSStage(types.ODM_Stage):
config.append("--fusion-mode 1")
extra_config = []
if args.pc_skip_geometric:
extra_config.append("--geometric-iters 0")
masks_dir = os.path.join(tree.opensfm, "undistorted", "masks")
masks = os.path.exists(masks_dir) and len(os.listdir(masks_dir)) > 0
if masks:

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@ -20,6 +20,7 @@ from opendm import point_cloud
from opendm.utils import double_quote
from opendm.tiles.tiler import generate_dem_tiles
from opendm.cogeo import convert_to_cogeo
from opendm import multispectral
class ODMSplitStage(types.ODM_Stage):
def process(self, args, outputs):
@ -54,11 +55,13 @@ class ODMSplitStage(types.ODM_Stage):
log.ODM_INFO("Setting max-concurrency to %s to better handle remote splits" % args.max_concurrency)
log.ODM_INFO("Large dataset detected (%s photos) and split set at %s. Preparing split merge." % (len(photos), args.split))
multiplier = (1.0 / len(reconstruction.multi_camera)) if reconstruction.multi_camera else 1.0
config = [
"submodels_relpath: " + os.path.join("..", "submodels", "opensfm"),
"submodel_relpath_template: " + os.path.join("..", "submodels", "submodel_%04d", "opensfm"),
"submodel_images_relpath_template: " + os.path.join("..", "submodels", "submodel_%04d", "images"),
"submodel_size: %s" % args.split,
"submodel_size: %s" % max(2, int(float(args.split) * multiplier)),
"submodel_overlap: %s" % args.split_overlap,
]
@ -88,12 +91,12 @@ class ODMSplitStage(types.ODM_Stage):
for sp in submodel_paths:
sp_octx = OSFMContext(sp)
submodel_images_dir = os.path.abspath(sp_octx.path("..", "images"))
# Copy filtered GCP file if needed
# One in OpenSfM's directory, one in the submodel project directory
if reconstruction.gcp and reconstruction.gcp.exists():
submodel_gcp_file = os.path.abspath(sp_octx.path("..", "gcp_list.txt"))
submodel_images_dir = os.path.abspath(sp_octx.path("..", "images"))
if reconstruction.gcp.make_filtered_copy(submodel_gcp_file, submodel_images_dir):
log.ODM_INFO("Copied filtered GCP file to %s" % submodel_gcp_file)
@ -107,6 +110,19 @@ class ODMSplitStage(types.ODM_Stage):
io.copy(tree.odm_geo_file, geo_dst_path)
log.ODM_INFO("Copied GEO file to %s" % geo_dst_path)
# If this is a multispectral dataset,
# we need to link the multispectral images
if reconstruction.multi_camera:
submodel_images = os.listdir(submodel_images_dir)
primary_band_name = multispectral.get_primary_band_name(reconstruction.multi_camera, args.primary_band)
_, p2s = multispectral.compute_band_maps(reconstruction.multi_camera, primary_band_name)
for filename in p2s:
if filename in submodel_images:
secondary_band_photos = p2s[filename]
for p in secondary_band_photos:
system.link_file(os.path.join(tree.dataset_raw, p.filename), submodel_images_dir)
# Reconstruct each submodel
log.ODM_INFO("Dataset has been split into %s submodels. Reconstructing each submodel..." % len(submodel_paths))
self.update_progress(25)

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@ -14,6 +14,7 @@ set GDAL_DATA=%GDALBASE%\data\gdal
set GDAL_DRIVER_PATH=%GDALBASE%\gdalplugins
set OSFMBASE=%ODMBASE%SuperBuild\install\bin\opensfm\bin
set SBBIN=%ODMBASE%SuperBuild\install\bin
set PDAL_DRIVER_PATH=%ODMBASE%SuperBuild\install\bin
set PATH=%GDALBASE%;%SBBIN%;%OSFMBASE%
set PROJ_LIB=%GDALBASE%\data\proj