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io_import_photoscan_cameras.py
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io_import_photoscan_cameras.py
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# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2023 Jakub Uhlik
bl_info = {"name": "Import Agisoft PhotoScan Cameras (.xml)",
"description": "",
"author": "Jakub Uhlik",
"version": (0, 1, 3),
"blender": (2, 80, 0),
"location": "Properties > Scene > Import Agisoft PhotoScan Cameras",
"warning": "work in progress",
"wiki_url": "",
"tracker_url": "",
"category": "Import-Export", }
import os
import sys
import math
import xml.etree.ElementTree as etree
import bpy
import bmesh
from mathutils import Matrix, Vector
from bpy.props import PointerProperty, BoolProperty, StringProperty, FloatProperty, EnumProperty
from bpy.types import Operator, Panel, PropertyGroup
from bpy_extras.io_utils import axis_conversion
from bl_ui.properties_scene import SceneButtonsPanel
PHOTOSCAN_VERSION_COMPATIBILITY = [(1, 4, 0), (1, 5, 0)]
CHECK_VERSION = True
DEBUG = False
def log(msg, indent=0, ):
m = "{0}> {1}".format(" " * indent, msg)
if(DEBUG):
print(m)
'''
class Progress():
def __init__(self, total, indent=0, prefix="> ", ):
self.current = 0
self.percent = -1
self.last = -1
self.total = total
self.prefix = prefix
self.indent = indent
self.t = " "
self.r = "\r"
self.n = "\n"
def step(self, numdone=1):
self.current += numdone
self.percent = int(self.current / (self.total / 100))
if(self.percent > self.last):
sys.stdout.write(self.r)
sys.stdout.write("{0}{1}{2}%".format(self.t * self.indent, self.prefix, self.percent))
self.last = self.percent
if(self.percent >= 100 or self.total == self.current):
sys.stdout.write(self.r)
sys.stdout.write("{0}{1}{2}%{3}".format(self.t * self.indent, self.prefix, 100, self.n))
'''
def add_object(name, data, ):
so = bpy.context.scene.objects
for i in so:
i.select_set(False)
o = bpy.data.objects.new(name, data)
context = bpy.context
view_layer = context.view_layer
collection = view_layer.active_layer_collection.collection
collection.objects.link(o)
o.select_set(True)
view_layer.objects.active = o
return o
def get_space3dview():
for a in bpy.context.screen.areas:
if(a.type == "VIEW_3D"):
return a.spaces[0]
return None
def activate_object(obj):
bpy.ops.object.select_all(action='DESELECT')
context = bpy.context
view_layer = context.view_layer
obj.select_set(True)
view_layer.objects.active = obj
def switch_view_to_camera():
s3dv = get_space3dview()
if(s3dv is not None):
if(s3dv.region_3d.view_perspective != 'CAMERA'):
s3dv.region_3d.view_perspective = 'CAMERA'
def camera_list(scene):
r = []
for o in scene.objects:
if(o.type == 'CAMERA'):
r.append(o)
r.sort(key=lambda c: c.name)
return r
'''
def show_background_image(name):
s3dv = get_space3dview()
if(s3dv is not None):
s3dv.show_background_images = True
for im in s3dv.background_images:
imnm = im.image.name.split(".")[0]
if(imnm == name):
im.show_background_image = True
else:
im.show_background_image = False
'''
def switch_orientation(camera):
render = bpy.context.scene.render
x = render.resolution_x
y = render.resolution_y
if(x > y and camera.data.sensor_fit == 'VERTICAL'):
render.resolution_x = y
render.resolution_y = x
if(x < y and camera.data.sensor_fit == 'HORIZONTAL'):
render.resolution_x = y
render.resolution_y = x
class PSCVersionException(Exception):
pass
class PSCSensor():
def __init__(self, xml):
self.id = int(xml.attrib["id"])
self.label = xml.attrib["label"]
self.type = xml.attrib["type"]
res = xml.find("resolution")
self.resolution = {'width': int(res.attrib["width"]), 'height': int(res.attrib["height"]), }
props = xml.findall("property")
self.props = {}
for p in props:
n = p.attrib["name"]
v = p.attrib["value"]
if(n == "pixel_width"):
self.props[n] = float(v)
elif(n == "pixel_height"):
self.props[n] = float(v)
elif(n == "focal_length"):
self.props[n] = float(v)
elif(n == "fixed"):
self.props[n] = v
elif(n == "layer_index"):
self.props[n] = v
else:
log("PSCSensorData: unknown property name: {0} with value: {1}".format(n, v), 0, )
self.calibration = {}
cals = xml.findall("calibration")
cal = None
for c in cals:
# there can be also calibration element with class="initial" attribute
# this is when sensor is precalibrated.. if it is so, then use adjusted values
if(c.attrib["class"] == "adjusted"):
cal = c
if(cal is None):
# skip it and hope for the best
self.calibration['type'] = None
self.calibration['class'] = None
self.calibration['resolution'] = {'width': self.props['pixel_width'], 'height': self.props['pixel_height'], }
self.calibration['f'] = self.props['focal_length']
self.calibration['cx'] = 0.0
self.calibration['cy'] = 0.0
else:
self.calibration['type'] = cal.attrib["type"]
self.calibration['class'] = cal.attrib["class"]
cres = cal.find("resolution")
self.calibration['resolution'] = {'width': int(cres.attrib["width"]), 'height': int(cres.attrib["height"]), }
# self.calibration['fx'] = float(cal.find("fx").text)
# self.calibration['fy'] = float(cal.find("fy").text)
self.calibration['f'] = float(cal.find("f").text)
try:
self.calibration['cx'] = float(cal.find("cx").text)
self.calibration['cy'] = float(cal.find("cy").text)
except:
self.calibration['cx'] = 0.0
self.calibration['cy'] = 0.0
# self.calibration['k1'] = float(cal.find("k1").text)
# self.calibration['k2'] = float(cal.find("k2").text)
# self.calibration['k3'] = float(cal.find("k3").text)
if('pixel_width' not in self.props):
self.props['pixel_width'] = self.calibration['resolution']['width']
self.props['pixel_height'] = self.calibration['resolution']['height']
self.props['focal_length'] = self.calibration['f']
sw = 0
sh = 0
ver = 0
if(ver == 0):
# sensor w/h: resolution * single pixel size
sw = self.props['pixel_width'] * self.calibration['resolution']['width']
sh = self.props['pixel_height'] * self.calibration['resolution']['height']
self.orientation = "HORIZONTAL"
if(sw < sh):
self.orientation = "VERTICAL"
self.calibrated_sensor_width = sw
self.calibrated_sensor_height = sh
elif(ver == 1):
# # principal point (image center) position * pixel size * 2
# cx = self.calibration['cx'] * self.props['pixel_width'] * 2
# cy = self.calibration['cy'] * self.props['pixel_height'] * 2
# self.orientation = "HORIZONTAL"
# if(cx < cy):
# self.orientation = "VERTICAL"
# self.calibrated_sensor_width = cx
# self.calibrated_sensor_height = cy
pass
else:
class SillyException(Exception):
pass
raise SillyException("choose one")
# average fx and fy, average pw and ph
# fx = self.calibration['fx']
# fy = self.calibration['fy']
f = self.calibration['f']
pw = self.props['pixel_width']
ph = self.props['pixel_height']
self.calibrated_focal_length = f * ((pw + ph) / 2)
self.principal_point_x = self.calibration['cx'] * self.props['pixel_width']
self.principal_point_y = self.calibration['cy'] * self.props['pixel_height']
shift_x = ((self.calibrated_sensor_width / 2) - self.principal_point_x)
shift_y = ((self.calibrated_sensor_height / 2) - self.principal_point_y)
self.shift_x_mm = shift_x
self.shift_y_mm = shift_y
# make it normalized, shift_x: 1 in blender camera is positive horizontal offset: 1 * sensor_width, negative would be shift_x: -1
# formula from teoplib.maths.map: vmin2 + (vmax2 - vmin2) * ((v - vmin1) / (vmax1 - vmin1))
shift_x = shift_x / self.calibrated_sensor_width
shift_y = shift_y / self.calibrated_sensor_height
# | <-| |-> <-<-| |->->
# * -x -y * -x +y * +x +y * +x +y
# . x y . x -y . -x y . -x -y
# +-------o-------+ +-------+ +-------+ +---------------+
# | * | | | | | | . |
# | + | | . | | * | | + |
# | . | o + | | + o | * |
# +---------------+ | * | | . | +-------o-------+
# | | | |
# +-------+ +-------+
# i think there is no way how to correctly determine this. i just assume that when shooting horizontally i am holding camera in viewer up position,
# when vertically i rotate camera to left, viewer is on left. it would be possible to get in from image metadata but, when i rotate image
# and develop like that, it will have orientation value: "Horizontal (normal)", that's Fun! how cool is that! but i have to check it with raw files
# maybe it is camera 'feature', not having orientation sensor..
# so, the result is:
# width > height = horizontal
# height > width = vertical
# horizontal cx, cy = +,+ = shift_x, shift_y = -,-
# vertical cx, cy = +,+ = shift_x, shift_y = +,-
# we'll see if this is going to work..
sign_x = 1
if(self.principal_point_x < self.calibrated_sensor_width / 2):
sign_x = -1
if(self.orientation == 'VERTICAL'):
# see above..
sign_x = 1
sign_y = 1
if(self.principal_point_y < self.calibrated_sensor_height / 2):
sign_y = -1
self.shift_x = shift_x * sign_x
self.shift_y = shift_y * sign_y
self.real_megapixels = self.calibration['resolution']['width'] * self.calibration['resolution']['height'] / 1e6
self._xml = xml
class PSCCamera():
def __init__(self, xml, sensor):
self.id = int(xml.attrib["id"])
self.label = xml.attrib["label"]
self.sensor_id = int(xml.attrib["sensor_id"])
# if(xml.attrib["enabled"] == "true"):
# self.enabled = True
# else:
# self.enabled = False
self.enabled = True
self.resolution = {"width": sensor.resolution['width'], "height": sensor.resolution['height'], }
try:
t = xml.find("transform").text
l = t.split(" ")
v = []
for i in range(len(l)):
v.append(float(l[i]))
m = []
i = 0
while(i < 16):
m.append(tuple([v[i], v[i + 1], v[i + 2], v[i + 3]]))
i += 4
matrix = Matrix((m[0], m[1], m[2], m[3]))
self.transform = t
except Exception as e:
matrix = Matrix()
self.transform = None
self.enabled = False
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_4x4()
# self.matrix = matrix * conversion_matrix
self.matrix = matrix @ conversion_matrix
self._xml = xml
class PSCChunk():
def __init__(self, xml, id):
self.xml = xml
self.id = id
self.sensors = []
self.cameras = []
sens = self.xml.findall(".//sensor")
for s in sens:
try:
sd = PSCSensor(s)
except:
sd = None
self.sensors.append(sd)
self.cameras = []
cams = self.xml.findall(".//camera")
for c in cams:
sensor = self.sensors[int(c.attrib["sensor_id"])]
if(sensor is None):
# TODO: unparsed sensor, skip that, deal with that later somehow.. at least notify user
continue
cam = PSCCamera(c, sensor)
self.cameras.append(cam)
self.region = {}
reg = self.xml.find(".//region")
c = reg.find("center").text.split(" ")
cf = [float(v) for v in c]
self.region['center'] = cf
s = reg.find("size").text.split(" ")
sf = [float(v) for v in s]
self.region['size'] = sf
r = reg.find("R").text.split(" ")
rf = [float(v) for v in r]
m = []
i = 0
while(i < 9):
m.append(tuple([rf[i], rf[i + 1], rf[i + 2]]))
i += 3
matrix = Matrix((m[0], m[1], m[2]))
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_3x3()
matrix = matrix @ conversion_matrix
self.region['R'] = matrix
class PSCMakeCameras():
def __init__(self, xml_path, matrix, camera_draw_size=0.5, planes=False, chunk_regions=True, correct_principal_point=False, ):
self.xml_path = os.path.realpath(xml_path)
self.matrix = matrix
self.planes = planes
self.camera_draw_size = camera_draw_size
self.chunk_regions = chunk_regions
self.correct_principal_point = correct_principal_point
self._make()
def _make(self):
log("PSCMakeCameras:", 0)
log("loading and parsing xml from: {0}".format(self.xml_path), 1)
self._load_parse_xml()
self.cameras = []
for i, ch in enumerate(self.chunks):
log("creating chunk '{0}' ({1}/{2})".format(ch.id, i + 1, len(self.chunks)), 1)
empty = add_object(ch.id, None)
if(self.planes):
log("creating cameras: (planes: {0})".format(self.planes), 2)
else:
log("creating cameras:", 2)
camera_objects = self._create_cameras(ch.cameras, ch.sensors, empty)
self.cameras.extend(camera_objects)
if(self.chunk_regions):
log("creating region..", 2)
region = self._create_region(ch.id, ch.region, empty)
log("setting parameters..", 2)
ch.empty = empty
ch.camera_objects = camera_objects
if(self.chunk_regions):
ch.region_object = region
empty.matrix_world = self.matrix
def _load_parse_xml(self):
self._tree = etree.parse(self.xml_path)
self.chunks = []
chunks = self._tree.findall(".//chunk")
for i, chunk in enumerate(chunks):
ch = PSCChunk(chunk, "chunk-{0}".format(i))
self.chunks.append(ch)
def _create_cameras(self, cameras, sensors, empty):
# calculate camera draw size from matrix to get real size in viewport
l, r, s = self.matrix.decompose()
ms = Matrix.Scale(s.x, 4)
l = Vector((self.camera_draw_size, 0, 0))
v = ms.inverted() @ l
ds = v.x
self.camera_draw_size_relative = ds
# prgr = Progress(len(cameras), 3)
camera_objects = []
for c in cameras:
cnm = str(c.label).split(".")[0]
bc = bpy.data.cameras.new(cnm)
bc.import_photoscan_cameras.include = True
# bc.import_photoscan_cameras.image = c.label
bco = add_object(cnm, bc)
bco.show_name = True
bc.lens_unit = 'MILLIMETERS'
current_sensor = sensors[c.sensor_id]
bc.lens = current_sensor.calibrated_focal_length
bc.sensor_fit = current_sensor.orientation
bc.show_name = True
bc.sensor_width = current_sensor.calibrated_sensor_width
bc.sensor_height = current_sensor.calibrated_sensor_height
if(self.correct_principal_point):
bc.shift_x = current_sensor.shift_x
bc.shift_y = current_sensor.shift_y
bc.display_size = self.camera_draw_size_relative
if(self.planes):
self._set_render_params(sensors[c.sensor_id])
# how blender camera is drawn: when draw_size is 1.0, longer side of frame is 1 unit, how far from origin depends on focal length
# the distance is then calculated as: (draw_size / 2) / math.tan(camera.angle / 2)
camera_frame_distance = ((bc.display_size / 2) / math.tan(bc.angle / 2)) * 2
# lets add a bit to it
plane_distance = camera_frame_distance * 1.25
ch = plane_distance * math.tan(bc.angle_y / 2)
cv = plane_distance * math.tan(bc.angle_x / 2)
# 3-------------2
# | |
# | * |
# | |
# 0-------------1
va = Vector((-cv, -ch, -plane_distance))
vb = Vector((cv, -ch, -plane_distance))
vc = Vector((cv, ch, -plane_distance))
vd = Vector((-cv, ch, -plane_distance))
verts = [va, vb, vc, vd]
pnm = "{0}_image_plane".format(cnm)
me = bpy.data.meshes.new(pnm)
me.from_pydata(verts, [], [(0, 1, 2, 3)])
uvnm = "UVMap"
# me.uv_textures.new(uvnm)
me.uv_layers.new(name=uvnm)
loops = me.uv_layers[0].data
loops[0].uv = Vector((0.0, 0.0))
loops[1].uv = Vector((1.0, 0.0))
loops[2].uv = Vector((1.0, 1.0))
loops[3].uv = Vector((0.0, 1.0))
meo = add_object(pnm, me)
meo.parent = bco
else:
self._set_render_params(sensors[cameras[0].sensor_id])
bco.matrix_world = c.matrix
bco.parent = empty
camera_objects.append(bco)
# prgr.step()
return camera_objects
def _set_render_params(self, sensor):
render = bpy.context.scene.render
render.resolution_x = sensor.calibration['resolution']['width']
render.resolution_y = sensor.calibration['resolution']['height']
render.resolution_percentage = 100
def _create_region(self, id, region, empty):
center = region["center"]
size = region["size"]
r = region["R"]
# 1 unit cube
l = 1.0 / 2
dv = [(+l, +l, -l),
(+l, -l, -l),
(-l, -l, -l),
(-l, +l, -l),
(+l, +l, +l),
(+l, -l, +l),
(-l, -l, +l),
(-l, +l, +l), ]
df = [(0, 1, 2, 3),
(4, 7, 6, 5),
(0, 4, 5, 1),
(1, 5, 6, 2),
(2, 6, 7, 3),
(4, 0, 3, 7), ]
me = bpy.data.meshes.new("{0}_region".format(id))
me.from_pydata(dv, [], df)
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_4x4()
o = add_object("{0}_region".format(id), me)
mt = Matrix.Translation(Vector(center)).to_4x4()
mr = Matrix(r.to_4x4() @ conversion_matrix).inverted()
ms = Matrix(((size[0], 0, 0), (0, size[1], 0), (0, 0, size[2]), )).to_4x4()
m = mt @ mr @ ms
o.matrix_world = m
o.parent = empty
o.display_type = 'WIRE'
# delete faces, why are they even created? because i am lazy
me = o.data
bm = bmesh.new()
bm.from_mesh(me)
for f in bm.faces:
f.select_set(True)
# DEL_ONLYFACES > context=3
# bmesh.ops.delete(bm, geom=bm.faces, context='FACES', )
bmesh.ops.delete(bm, geom=bm.faces, context='FACES_ONLY', )
o.data = bm.to_mesh(me)
return o
class PSCXMLImport():
def __init__(self, xml_path, matrix, camera_draw_size=0.5, load_images=True, images_directory=None, image_extension=".jpg", background_images=True, image_planes=False, chunk_regions=True, correct_principal_point=False, version_check=True, ):
if(xml_path is not None):
if(type(xml_path) is str):
if(xml_path != ""):
if(os.path.exists(xml_path)):
self.xml_path = os.path.realpath(xml_path)
def check_extension(check_path, check_ext, ):
if(check_ext.startswith(".") is False):
check_ext = ".{0}".format(check_ext)
head, tail = os.path.split(check_path)
name, ext = os.path.splitext(tail)
if(ext == check_ext):
return True
return False
if(check_extension(self.xml_path, ".xml") is False):
log("{}: WARNING: does not seem to be a .xml file ({})".format(self.__class__.__name__, self.xml_path), 1, )
else:
raise ValueError("{}: file at xml_path does not exist".format(self.__class__.__name__))
else:
raise ValueError("{}: xml_path is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: xml_path is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: xml_path is None".format(self.__class__.__name__))
if(matrix is not None):
if(type(matrix) is Matrix):
self.matrix = matrix
else:
raise TypeError("{}: matrix is not a Matrix".format(self.__class__.__name__))
else:
raise TypeError("{}: matrix is None".format(self.__class__.__name__))
if(camera_draw_size is not None):
if(type(camera_draw_size) is float):
if(camera_draw_size > 0):
self.camera_draw_size = camera_draw_size
else:
raise ValueError("{}: camera_draw_size is zero or negative".format(self.__class__.__name__))
else:
raise TypeError("{}: camera_draw_size is not a float".format(self.__class__.__name__))
else:
raise TypeError("{}: camera_draw_size is None".format(self.__class__.__name__))
if(type(load_images) is bool):
self.load_images = load_images
else:
raise TypeError("{}: load_images is not a bool".format(self.__class__.__name__))
if(self.load_images):
if(images_directory is not None):
if(type(images_directory) is str):
if(images_directory != ""):
if(os.path.exists(images_directory)):
if(os.path.isdir(images_directory)):
self.images_directory = images_directory
else:
raise ValueError("{}: images_directory is not a directory".format(self.__class__.__name__))
else:
raise ValueError("{}: images_directory does not exist".format(self.__class__.__name__))
else:
raise ValueError("{}: images_directory is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: images_directory is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: images_directory is None".format(self.__class__.__name__))
if(image_extension is not None):
if(type(image_extension) is str):
if(image_extension != ""):
if(not image_extension.startswith(".")):
image_extension = ".{0}".format(image_extension)
self.image_extension = image_extension.lower()
else:
raise ValueError("{}: image_extension is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: image_extension is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: image_extension is None".format(self.__class__.__name__))
if(type(background_images) is bool):
self.background_images = background_images
else:
raise TypeError("{}: background_images is not a bool".format(self.__class__.__name__))
if(type(image_planes) is bool):
self.image_planes = image_planes
else:
raise TypeError("{}: image_planes is not a bool".format(self.__class__.__name__))
else:
self.images_directory = None
self.background_images = False
self.image_planes = False
if(type(chunk_regions) is bool):
self.chunk_regions = chunk_regions
else:
raise TypeError("{}: chunk_regions is not a bool".format(self.__class__.__name__))
if(type(correct_principal_point) is bool):
self.correct_principal_point = correct_principal_point
else:
raise TypeError("{}: correct_principal_point is not a bool".format(self.__class__.__name__))
if(type(version_check) is bool):
self.version_check = version_check
else:
raise TypeError("{}: version_check is not a bool".format(self.__class__.__name__))
self._make()
def _make(self):
log("{}:".format(self.__class__.__name__), 0)
# version check
self._tree = etree.parse(self.xml_path)
if(self.version_check):
root = self._tree.getroot()
ver_str = root.attrib["version"]
ver_split = ver_str.split(".")
ver = tuple(int(i) for i in ver_split)
if(ver not in PHOTOSCAN_VERSION_COMPATIBILITY):
raise PSCVersionException("{}: incompatible xml version: ({})".format(self.__class__.__name__, ver))
else:
log("checking file version: {0}: {1}".format(ver, "ok"))
# make cameras
do_planes = False
if(self.load_images and self.image_planes):
do_planes = True
self.psc = PSCMakeCameras(self.xml_path, self.matrix, self.camera_draw_size, do_planes, self.chunk_regions, self.correct_principal_point, )
# images
if(self.load_images):
def walk_dir(p):
r = {"files": [],
"dirs": [], }
for (root, dirs, files) in os.walk(p):
r["files"].extend(files)
r["dirs"].extend(dirs)
break
return r
files = walk_dir(self.images_directory)['files']
fls = []
for f in files:
if(os.path.splitext(f)[1].lower() == self.image_extension):
fls.append(f)
files = fls
self.images = []
cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
redundant_images_log = []
for f in files:
fnm = os.path.splitext(f)[0]
if(fnm in cam_names):
fi = cam_names.index(fnm)
cam_names = cam_names[:fi] + cam_names[fi + 1:]
else:
redundant_images_log.append(f)
continue
# load image
p = os.path.join(self.images_directory, f)
im = bpy.data.images.load(p)
self.images.append(im)
# any camera without an image?
missing_images_log = []
if(len(cam_names) != 0):
for cnm in cam_names:
missing_images_log.append(cnm)
# set background images
if(self.background_images):
# cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
# # set images as viewport background images, but turn off visibility
# s3dv = get_space3dview()
# s3dv.show_background_images = True
# for cn in cam_names:
# cd = bpy.data.cameras[cn]
# # if(cn in [i.name for i in self.images]):
# cd.show_background_images = True
# bi = cd.background_images.new()
# bi.image = self.images[cn]
# bi.draw_depth = 'FRONT'
for im in self.images:
nm = im.name.split(".")[0]
cam = bpy.data.cameras.get(nm)
if(cam is not None):
cam.show_background_images = True
bi = cam.background_images.new()
bi.image = im
bi.display_depth = 'FRONT'
# for im in self.images:
# bim = s3dv.background_images.new()
# bim.view_axis = 'CAMERA'
# bim.show_background_image = False
# bim.show_expanded = False
# # image not shown from the start
# bim.show_background_image = False
# bim.draw_depth = 'FRONT'
# bim.image = im
# make image planes
if(self.image_planes):
# planes are already created, just assign images to uvs
for o in bpy.data.objects:
if(o.type == 'CAMERA'):
if(len(o.children) == 1):
if(o.children[0].name.endswith("_image_plane")):
me = o.children[0].data
uvf = me.uv_textures["UVMap"].data[0]
im = None
for img in self.images:
if(img.name.split(".")[0] == o.name):
im = img
break
uvf.image = im
# activate last chunk empty
activate_object(self.psc.chunks[-1].empty)
class PSC_import_properties(PropertyGroup):
xml_path: StringProperty(name="Cameras XML", default="", subtype='FILE_PATH', description="Path to Agisoft PhotoScan cameras xml file", )
camera_draw_size: FloatProperty(name="Camera Display Size", description="Size of imported cameras in viewport", default=0.25, precision=3, )
load_images: BoolProperty(name="Load Camera Images", default=True, description="Load camera images", )
images_directory: StringProperty(name="Images Directory", default="", subtype='DIR_PATH', description="Path to images directory", )
image_extension: EnumProperty(name="Image Extension", items=[('TIFF', "TIFF (*.tif)", ""),
('TIFF2', "TIFF (*.tiff)", ""),
('JPEG', "JPEG (*.jpg)", ""),
('JPEG2', "JPEG (*.jpeg)", ""),
('PNG', "PNG (*.png)", ""),
('BMP', "BMP (*.bmp)", ""),
('OPENEXR', "OpenEXR (*.exr)", ""),
('TARGA', "TARGA (*.tga)", "")], default='TIFF', description="", )
background_images: BoolProperty(name="Assign Images to Cameras", default=True, description="Assign images to cameras", )
background_image_alpha: FloatProperty(name="Alpha", description="", default=0.5, precision=3, min=0.0, max=1.0, subtype='PERCENTAGE', )
background_image_depth: EnumProperty(name="Depth", items=[('BACK', "Back", ""), ('FRONT', "Front", ""), ], default='FRONT', description="", )
image_planes: BoolProperty(name="Create Image Planes", default=False, description="Create mesh planes in front of cameras and assign images to them", )
chunk_regions: BoolProperty(name="Create Chunk Region Borders", default=True, description="Create mesh at borders of chunk region", )
align_to_active: BoolProperty(name="Align to Active Object", default=False, description="Copy transformation from active object", )
@classmethod
def register(cls):
bpy.types.Scene.import_photoscan_cameras = PointerProperty(type=cls)
@classmethod
def unregister(cls):
del bpy.types.Scene.import_photoscan_cameras
class PSC_camera_properties(PropertyGroup):
include: BoolProperty(name="Include", default=False, options={'HIDDEN'}, )
image: StringProperty(name="Image", default="", options={'HIDDEN'}, )
@classmethod
def register(cls):
bpy.types.Camera.import_photoscan_cameras = PointerProperty(type=cls)
@classmethod
def unregister(cls):
del bpy.types.Camera.import_photoscan_cameras
class PSC_OT_import(Operator):
bl_idname = "import_scene.photoscan_cameras"
bl_label = "Agisoft PhotoScan Cameras (.xml)"
bl_description = ""
bl_options = {'UNDO', }
@classmethod
def poll(cls, context):
ps = bpy.context.scene.import_photoscan_cameras
return (ps and ps.xml_path != '')
def execute(self, context):
m = Matrix()
ps = bpy.context.scene.import_photoscan_cameras
if(ps.align_to_active):
ao = context.view_layer.objects.active
if(ao is not None):
m = ao.matrix_world.copy()
ed = {'TIFF': ".tiff", 'TIFF2': ".tif", 'JPEG': ".jpg", 'JPEG2': ".jpeg", 'PNG': ".png", 'BMP': ".bmp", 'OPENEXR': ".exr", 'TARGA': ".tga", }
e = ed[ps.image_extension]
d = {'xml_path': os.path.realpath(bpy.path.abspath(ps.xml_path)),
'matrix': m,
'camera_draw_size': ps.camera_draw_size,
'load_images': ps.load_images,
'images_directory': os.path.realpath(bpy.path.abspath(ps.images_directory)),
'image_extension': e,
'background_images': ps.background_images,
# 'image_planes': ps.image_planes,
'image_planes': False,
'chunk_regions': ps.chunk_regions,
'correct_principal_point': False,
'version_check': CHECK_VERSION, }
o = PSCXMLImport(**d)
return {'FINISHED'}
'''
class PSC_OT_align_cameras_to_mesh(Operator):
bl_idname = "import_scene.photoscan_cameras_align"
bl_label = "Align Cameras to Mesh"
bl_description = "Align cameras to active mesh. First select chunk cameras empty object holder, then mesh. World matrix will be copied to cameras empty with corrected axes."
bl_options = {'UNDO', }
@classmethod
def poll(cls, context):
obs = [o for o in context.scene.objects if o.select_get()]
if(len(obs) != 2):
return False
o = context.active_object
c = [i for i in obs if i is not o][0]
return (o and o.type == 'MESH' and o in obs and c and c.type == 'EMPTY')
def execute(self, context):
obs = [o for o in context.scene.objects if o.select_get()]
o = context.active_object
c = [i for i in obs if i is not o][0]
m = o.matrix_world.copy()
c.matrix_world = m
return {'FINISHED'}
'''
class PSC_OT_next_camera(Operator):
bl_idname = "import_scene.photoscan_cameras_next"
bl_label = "Next Camera"
@classmethod
def poll(cls, context):
cams = camera_list(context.scene)
if(len(cams) > 1):
return True
return False
def execute(self, context):
ao = context.active_object
mode = ao.mode
bpy.ops.object.mode_set(mode='OBJECT')
cams = camera_list(context.scene)
current = context.scene.camera
found = False
for i, c in enumerate(cams):
if(c == current):
found = True
break
if(found):
if(i == len(cams) - 1):
i = 0
else:
i += 1
else:
i = 0
# print(cams[i].data.import_photoscan_cameras.include)
# print(cams[i].data.import_photoscan_cameras.image)
activate_object(cams[i])
context.scene.camera = cams[i]
switch_orientation(cams[i])
# show_background_image(cams[i].name)
switch_view_to_camera()
activate_object(ao)
bpy.ops.object.mode_set(mode=mode)
return {'FINISHED'}
class PSC_OT_prev_camera(Operator):
bl_idname = "import_scene.photoscan_cameras_prev"
bl_label = "Previous Camera"
@classmethod
def poll(cls, context):