Module simple_3dviz.scripts.mesh_viewer
Visualize mesh files. Use the --help
argument for information on how to
use the script.
Expand source code
"""Visualize mesh files. Use the `--help` argument for information on how to
use the script."""
import argparse
from functools import reduce
from os import path
from tempfile import gettempdir
import numpy as np
from .. import Mesh, Scene, TexturedMesh
from ..behaviours.keyboard import SnapshotOnKey
from ..behaviours.misc import LightToCamera
from ..utils import save_frame
try:
from ..window import show
no_gui = False
except ImportError:
no_gui = True
# The tab20 colormap from matplotlib
tab20 = [
(0.12156862745098039, 0.4666666666666667, 0.7058823529411765 ),
(0.6823529411764706, 0.7803921568627451, 0.9098039215686274 ),
(1.0, 0.4980392156862745, 0.054901960784313725),
(1.0, 0.7333333333333333, 0.47058823529411764 ),
(0.17254901960784313, 0.6274509803921569, 0.17254901960784313 ),
(0.596078431372549, 0.8745098039215686, 0.5411764705882353 ),
(0.8392156862745098, 0.15294117647058825, 0.1568627450980392 ),
(1.0, 0.596078431372549, 0.5882352941176471 ),
(0.5803921568627451, 0.403921568627451, 0.7411764705882353 ),
(0.7725490196078432, 0.6901960784313725, 0.8352941176470589 ),
(0.5490196078431373, 0.33725490196078434, 0.29411764705882354 ),
(0.7686274509803922, 0.611764705882353, 0.5803921568627451 ),
(0.8901960784313725, 0.4666666666666667, 0.7607843137254902 ),
(0.9686274509803922, 0.7137254901960784, 0.8235294117647058 ),
(0.4980392156862745, 0.4980392156862745, 0.4980392156862745 ),
(0.7803921568627451, 0.7803921568627451, 0.7803921568627451 ),
(0.7372549019607844, 0.7411764705882353, 0.13333333333333333 ),
(0.8588235294117647, 0.8588235294117647, 0.5529411764705883 ),
(0.09019607843137255, 0.7450980392156863, 0.8117647058823529 ),
(0.6196078431372549, 0.8549019607843137, 0.8980392156862745 )
]
def list_of(f):
def inner(x):
try:
return [f(xi) for xi in x.split(";")]
except ValueError as e:
raise ValueError("Error when parsing the list of elements") from e
return inner
def or_type(f1, f2):
def inner(x):
try:
return f1(x)
except ValueError:
return f2(x)
return inner
def int_tuple(n):
def inner(x):
t = tuple(int(xi) for xi in x.split(","))
if len(t) != n:
raise ValueError("Expected a {}-tuple".format(n))
return t
return inner
def f_tuple(n):
def inner(x):
t = tuple(float(xi) for xi in x.split(","))
if len(t) != n:
raise ValueError("Expected a {}-tuple".format(n))
return t
return inner
def main(argv=None):
parser = argparse.ArgumentParser(
description="Visualize meshes with simple_3dviz"
)
parser.add_argument(
"file",
default="The mesh to be viewed",
nargs="+"
)
parser.add_argument(
"--size",
type=int_tuple(2),
default=(512, 512),
help="The size of the window"
)
parser.add_argument(
"--background", "-b",
type=or_type(f_tuple(4), f_tuple(3)),
default=(0.7, 0.7, 0.7, 1),
help="The rgba background color"
)
parser.add_argument(
"--camera_position", "-c",
type=f_tuple(3),
default=(-2, -2, -2),
help="The position of the camera"
)
parser.add_argument(
"--camera_target", "-t",
type=f_tuple(3),
default=(0, 0, 0),
help="The target of the camera"
)
parser.add_argument(
"--up",
type=f_tuple(3),
default=(0, 0, 1),
help="The up vector"
)
parser.add_argument(
"--light",
type=f_tuple(3),
default=None
)
parser.add_argument(
"--color",
type=list_of(or_type(f_tuple(4), f_tuple(3))),
default=[(0.3, 0.3, 0.3)],
help="Choose a color for the mesh"
)
parser.add_argument(
"--use_tab20",
action="store_true",
help="Use matplotlib's tab20 color map"
)
parser.add_argument(
"--manual",
action="store_false",
dest="auto",
help="Auto determine the camera position and target"
)
parser.add_argument(
"--save_frame",
default=path.join(gettempdir(), "frame_{:03d}.png"),
help="The location to save the snapshot frame"
)
parser.add_argument(
"--direct_render",
help="If provided render to this file and exit"
)
parser.add_argument(
"--with_texture",
action="store_true",
help="Load mesh with texture"
)
args = parser.parse_args(argv)
MeshClass = TexturedMesh if args.with_texture else Mesh
colors = args.color*len(args.file) if len(args.color) == 1 else args.color
if args.use_tab20:
colors = [tab20[i % 20] for i in range(len(args.file))]
meshes = [
MeshClass.from_file(f, color=c)
for f, c in zip(args.file, colors)
]
if args.auto:
bbox_min = reduce(
np.minimum,
(m.bbox[0] for m in meshes),
meshes[0].bbox[0]
)
bbox_max = reduce(
np.maximum,
(m.bbox[1] for m in meshes),
meshes[0].bbox[1]
)
bbox = [bbox_min, bbox_max]
center = (bbox[1]-bbox[0])/2 + bbox[0]
args.camera_target = center
args.camera_position = center + (bbox[1]-center)*2
D = np.sqrt(np.sum((args.camera_position - args.camera_target)**2))
if D > 100:
s = 100. / D
args.camera_target *= s
args.camera_position *= s
for m in meshes:
m.scale(s)
behaviours = [
SnapshotOnKey(path=args.save_frame, keys={"<ctrl>", "S"}),
]
if args.light is None:
behaviours.append(LightToCamera())
if args.direct_render:
scene = Scene(size=args.size, background=args.background)
for m in meshes:
m.sort_triangles(args.camera_position)
scene.add(m)
scene.camera_position = args.camera_position
scene.camera_target = args.camera_target
scene.up_vector = args.up
if args.light is None:
scene.light = args.camera_position
else:
scene.light = args.light
scene.render()
save_frame(args.direct_render, scene.frame)
else:
show(
meshes,
size=args.size, background=args.background, title="Mesh Viewer",
camera_position=args.camera_position,
camera_target=args.camera_target,
up_vector=args.up,
light=args.light,
behaviours=behaviours
)
Functions
def f_tuple(n)
-
Expand source code
def f_tuple(n): def inner(x): t = tuple(float(xi) for xi in x.split(",")) if len(t) != n: raise ValueError("Expected a {}-tuple".format(n)) return t return inner
def int_tuple(n)
-
Expand source code
def int_tuple(n): def inner(x): t = tuple(int(xi) for xi in x.split(",")) if len(t) != n: raise ValueError("Expected a {}-tuple".format(n)) return t return inner
def list_of(f)
-
Expand source code
def list_of(f): def inner(x): try: return [f(xi) for xi in x.split(";")] except ValueError as e: raise ValueError("Error when parsing the list of elements") from e return inner
def main(argv=None)
-
Expand source code
def main(argv=None): parser = argparse.ArgumentParser( description="Visualize meshes with simple_3dviz" ) parser.add_argument( "file", default="The mesh to be viewed", nargs="+" ) parser.add_argument( "--size", type=int_tuple(2), default=(512, 512), help="The size of the window" ) parser.add_argument( "--background", "-b", type=or_type(f_tuple(4), f_tuple(3)), default=(0.7, 0.7, 0.7, 1), help="The rgba background color" ) parser.add_argument( "--camera_position", "-c", type=f_tuple(3), default=(-2, -2, -2), help="The position of the camera" ) parser.add_argument( "--camera_target", "-t", type=f_tuple(3), default=(0, 0, 0), help="The target of the camera" ) parser.add_argument( "--up", type=f_tuple(3), default=(0, 0, 1), help="The up vector" ) parser.add_argument( "--light", type=f_tuple(3), default=None ) parser.add_argument( "--color", type=list_of(or_type(f_tuple(4), f_tuple(3))), default=[(0.3, 0.3, 0.3)], help="Choose a color for the mesh" ) parser.add_argument( "--use_tab20", action="store_true", help="Use matplotlib's tab20 color map" ) parser.add_argument( "--manual", action="store_false", dest="auto", help="Auto determine the camera position and target" ) parser.add_argument( "--save_frame", default=path.join(gettempdir(), "frame_{:03d}.png"), help="The location to save the snapshot frame" ) parser.add_argument( "--direct_render", help="If provided render to this file and exit" ) parser.add_argument( "--with_texture", action="store_true", help="Load mesh with texture" ) args = parser.parse_args(argv) MeshClass = TexturedMesh if args.with_texture else Mesh colors = args.color*len(args.file) if len(args.color) == 1 else args.color if args.use_tab20: colors = [tab20[i % 20] for i in range(len(args.file))] meshes = [ MeshClass.from_file(f, color=c) for f, c in zip(args.file, colors) ] if args.auto: bbox_min = reduce( np.minimum, (m.bbox[0] for m in meshes), meshes[0].bbox[0] ) bbox_max = reduce( np.maximum, (m.bbox[1] for m in meshes), meshes[0].bbox[1] ) bbox = [bbox_min, bbox_max] center = (bbox[1]-bbox[0])/2 + bbox[0] args.camera_target = center args.camera_position = center + (bbox[1]-center)*2 D = np.sqrt(np.sum((args.camera_position - args.camera_target)**2)) if D > 100: s = 100. / D args.camera_target *= s args.camera_position *= s for m in meshes: m.scale(s) behaviours = [ SnapshotOnKey(path=args.save_frame, keys={"<ctrl>", "S"}), ] if args.light is None: behaviours.append(LightToCamera()) if args.direct_render: scene = Scene(size=args.size, background=args.background) for m in meshes: m.sort_triangles(args.camera_position) scene.add(m) scene.camera_position = args.camera_position scene.camera_target = args.camera_target scene.up_vector = args.up if args.light is None: scene.light = args.camera_position else: scene.light = args.light scene.render() save_frame(args.direct_render, scene.frame) else: show( meshes, size=args.size, background=args.background, title="Mesh Viewer", camera_position=args.camera_position, camera_target=args.camera_target, up_vector=args.up, light=args.light, behaviours=behaviours )
def or_type(f1, f2)
-
Expand source code
def or_type(f1, f2): def inner(x): try: return f1(x) except ValueError: return f2(x) return inner