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layout_viewer.py
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layout_viewer.py
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import json
import numpy as np
import open3d as o3d
from PIL import Image
from scipy.signal import correlate2d
from scipy.ndimage import shift
from misc.post_proc import np_coor2xy, np_coorx2u, np_coory2v
from eval_general import layout_2_depth
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--img', required=True,
help='Image texture in equirectangular format')
parser.add_argument('--layout', required=True,
help='Txt or json file containing layout corners (cor_id)')
parser.add_argument('--out')
parser.add_argument('--vis', action='store_true')
parser.add_argument('--ignore_floor', action='store_true',
help='Skip rendering floor')
parser.add_argument('--ignore_ceiling', action='store_true',
help='Skip rendering ceiling')
parser.add_argument('--ignore_wall', action='store_true',
help='Skip rendering wall')
parser.add_argument('--ignore_wireframe', action='store_true',
help='Skip rendering wireframe')
args = parser.parse_args()
if not args.out and not args.vis:
print('You may want to export (via --out) or visualize (via --vis)')
import sys; sys.exit()
# Reading source (texture img, cor_id txt)
equirect_texture = np.array(Image.open(args.img))
H, W = equirect_texture.shape[:2]
if args.layout.endswith('json'):
with open(args.layout) as f:
inferenced_result = json.load(f)
cor_id = np.array(inferenced_result['uv'], np.float32)
cor_id[:, 0] *= W
cor_id[:, 1] *= H
else:
cor_id = np.loadtxt(args.layout).astype(np.float32)
# Convert corners to layout
depth, floor_mask, ceil_mask, wall_mask = layout_2_depth(cor_id, H, W, return_mask=True)
coorx, coory = np.meshgrid(np.arange(W), np.arange(H))
us = np_coorx2u(coorx, W)
vs = np_coory2v(coory, H)
zs = depth * np.sin(vs)
cs = depth * np.cos(vs)
xs = cs * np.sin(us)
ys = -cs * np.cos(us)
# Aggregate mask
mask = np.ones_like(floor_mask)
if args.ignore_floor:
mask &= ~floor_mask
if args.ignore_ceiling:
mask &= ~ceil_mask
if args.ignore_wall:
mask &= ~wall_mask
# Prepare ply's points and faces
xyzrgb = np.concatenate([
xs[...,None], ys[...,None], zs[...,None],
equirect_texture], -1)
xyzrgb = np.concatenate([xyzrgb, xyzrgb[:,[0]]], 1)
mask = np.concatenate([mask, mask[:,[0]]], 1)
lo_tri_template = np.array([
[0, 0, 0],
[0, 1, 0],
[0, 1, 1]])
up_tri_template = np.array([
[0, 0, 0],
[0, 1, 1],
[0, 0, 1]])
ma_tri_template = np.array([
[0, 0, 0],
[0, 1, 1],
[0, 1, 0]])
lo_mask = (correlate2d(mask, lo_tri_template, mode='same') == 3)
up_mask = (correlate2d(mask, up_tri_template, mode='same') == 3)
ma_mask = (correlate2d(mask, ma_tri_template, mode='same') == 3) & (~lo_mask) & (~up_mask)
ref_mask = (
lo_mask | (correlate2d(lo_mask, np.flip(lo_tri_template, (0,1)), mode='same') > 0) |\
up_mask | (correlate2d(up_mask, np.flip(up_tri_template, (0,1)), mode='same') > 0) |\
ma_mask | (correlate2d(ma_mask, np.flip(ma_tri_template, (0,1)), mode='same') > 0)
)
points = xyzrgb[ref_mask]
ref_id = np.full(ref_mask.shape, -1, np.int32)
ref_id[ref_mask] = np.arange(ref_mask.sum())
faces_lo_tri = np.stack([
ref_id[lo_mask],
ref_id[shift(lo_mask, [1, 0], cval=False, order=0)],
ref_id[shift(lo_mask, [1, 1], cval=False, order=0)],
], 1)
faces_up_tri = np.stack([
ref_id[up_mask],
ref_id[shift(up_mask, [1, 1], cval=False, order=0)],
ref_id[shift(up_mask, [0, 1], cval=False, order=0)],
], 1)
faces_ma_tri = np.stack([
ref_id[ma_mask],
ref_id[shift(ma_mask, [1, 0], cval=False, order=0)],
ref_id[shift(ma_mask, [0, 1], cval=False, order=0)],
], 1)
faces = np.concatenate([faces_lo_tri, faces_up_tri, faces_ma_tri])
# Dump results ply
if args.out:
ply_header = '\n'.join([
'ply',
'format ascii 1.0',
f'element vertex {len(points):d}',
'property float x',
'property float y',
'property float z',
'property uchar red',
'property uchar green',
'property uchar blue',
f'element face {len(faces):d}',
'property list uchar int vertex_indices',
'end_header',
])
with open(args.out, 'w') as f:
f.write(ply_header)
f.write('\n')
for x, y, z, r, g, b in points:
f.write(f'{x:.2f} {y:.2f} {z:.2f} {r:.0f} {g:.0f} {b:.0f}\n')
for i, j, k in faces:
f.write(f'3 {i:d} {j:d} {k:d}\n')
if args.vis:
mesh = o3d.geometry.TriangleMesh()
mesh.vertices = o3d.utility.Vector3dVector(points[:, :3])
mesh.vertex_colors = o3d.utility.Vector3dVector(points[:, 3:] / 255.)
mesh.triangles = o3d.utility.Vector3iVector(faces)
draw_geometries = [mesh]
# Show wireframe
if not args.ignore_wireframe:
# Convert cor_id to 3d xyz
N = len(cor_id) // 2
floor_z = -1.6
floor_xy = np_coor2xy(cor_id[1::2], floor_z, W, H, floorW=1, floorH=1)
c = np.sqrt((floor_xy**2).sum(1))
v = np_coory2v(cor_id[0::2, 1], H)
ceil_z = (c * np.tan(v)).mean()
# Prepare wireframe in open3d
assert N == len(floor_xy)
wf_points = [[x, y, floor_z] for x, y in floor_xy] +\
[[x, y, ceil_z] for x, y in floor_xy]
wf_lines = [[i, (i+1)%N] for i in range(N)] +\
[[i+N, (i+1)%N+N] for i in range(N)] +\
[[i, i+N] for i in range(N)]
wf_colors = [[1, 0, 0] for i in range(len(wf_lines))]
wf_line_set = o3d.geometry.LineSet()
wf_line_set.points = o3d.utility.Vector3dVector(wf_points)
wf_line_set.lines = o3d.utility.Vector2iVector(wf_lines)
wf_line_set.colors = o3d.utility.Vector3dVector(wf_colors)
draw_geometries.append(wf_line_set)
o3d.visualization.draw_geometries(draw_geometries, mesh_show_back_face=True)