Files
nerfstudio/pyrad/viewer/server/cameras.py
T
Ethan Weber 44c5e3264c Documenting viewer and faster image sending (#86)
* updated three.js version. only send camera information when it moves

* changing code back to updating camera constantly because packets seem to be lost

* name change

* starting viewer docs

* new workflow

* ga

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* homepage

* homepage

* / to ?

* more documentation

* fixed none error

* instant ngp fix

* faster image sending over tcp. instant ngp bin fix. lowest res when moving

* black

* requirements
2022-07-07 00:03:45 -07:00

91 lines
3.3 KiB
Python

# Copyright 2022 The Plenoptix Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .geometry import SceneElement, Geometry, Object, LineSegments, PointsGeometry, LineBasicMaterial
# import geometry as g
from . import geometry as g
import numpy as np
import cv2
class ImagePlane(g.Mesh):
def __init__(self, image, height=1, width=1):
"""TODO(ethan): decide how to deal with the height and width"""
self.image = image
geometry = g.PlaneGeometry([width, height])
material = g.MeshBasicMaterial(
map=g.ImageTexture(image=g.PngImage(cv2.imencode(".png", self.image[:, :, ::-1])[1].tobytes()))
)
super().__init__(geometry, material)
def get_camera_wireframe(scale: float = 0.3, f=4, w=1.5, h=2):
"""
Returns a wireframe of a 3D line-plot of a camera symbol.
At https://github.com/hangg7/mvs_visual/blob/275d382a824733a3187a8e3147be184dd6f14795/mvs_visual.py#L54.
Args:
f (focal length): this is the focal length
"""
ul = np.array([-w, h, -f])
ur = np.array([w, h, -f])
ll = np.array([-w, -h, -f])
lr = np.array([w, -h, -f])
C = np.zeros(3)
camera_points = [C, ul, C, ur, C, ll, C, lr, C]
lines = np.stack([x for x in camera_points]) * scale
return lines
def get_plane_pts(focal_length=(1.0, 1.0), image_size=(10, 10), camera_scale=1, scale_factor=1 / 4):
Z = -(focal_length[0] + focal_length[1]) / 2 * camera_scale
X0, Y0, X1, Y1 = (
-image_size[0] / 2 * camera_scale,
image_size[1] / 2 * camera_scale,
image_size[0] / 2 * camera_scale,
-image_size[1] / 2 * camera_scale,
)
# scale image to plane such that it can go outside of the x0x1 range.
W, H = X1 - X0, Y0 - Y1
w, h = image_size
ratio = min(w / W, h / H)
oW, oH = w / ratio, h / ratio
X0, Y0, X1, Y1 = -oW / 2, oH / 2, oW / 2, -oH / 2
wsteps, hsteps = int(w * scale_factor), int(h * scale_factor)
Ys, Xs = np.meshgrid(
np.linspace(Y0, Y1, num=hsteps),
np.linspace(X0, X1, num=wsteps),
indexing="ij",
)
Zs = np.ones_like(Xs) * Z
plane_pts = np.stack([Xs, Ys, Zs], axis=-1)
return plane_pts
def frustum(scale=1.0, color=[0, 0, 0], focal_length=4, width=1.5, height=2):
"""TODO(ethan): make the scale adjustable depending on the camera size
color - color of lines using R, G, B. default is black
"""
# print("linewidth")
camera_wireframe_lines = get_camera_wireframe(scale=scale, f=focal_length, w=width / 2.0, h=height / 2.0)
N = len(camera_wireframe_lines)
colors = np.array([color for _ in range(N)])
line_segments = LineSegments(
PointsGeometry(position=camera_wireframe_lines.astype(np.float32).T, color=colors.astype(np.float32).T),
LineBasicMaterial(vertexColors=True, linewidth=10.0),
)
return line_segments