add rendering code
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@ -17,6 +17,7 @@
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</p>
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## Update
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* add pointclouds rendering code used for paper figure, see `utils/render_mitsuba_pc.py`
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* When opening an issue, please add @ZENGXH so that I can reponse faster!
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## Install
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418
utils/render_mitsuba_pc.py
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418
utils/render_mitsuba_pc.py
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# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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#
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# NVIDIA CORPORATION & AFFILIATES and its licensors retain all intellectual property
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# and proprietary rights in and to this software, related documentation
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# and any modifications thereto. Any use, reproduction, disclosure or
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# distribution of this software and related documentation without an express
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# license agreement from NVIDIA CORPORATION & AFFILIATES is strictly prohibited.
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import numpy as np
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import mitsuba as mi
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mi.set_variant("cuda_ad_rgb")
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from loguru import logger
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import sys, os, subprocess
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import copy
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import OpenEXR
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import Imath
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from PIL import Image
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## from plyfile import PlyData, PlyElement
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import torch
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import open3d as o3d
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from PIL import Image, ImageChops
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import time
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random_str = hex(int(time.time() + 12345))[2:]
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PATH_TO_MITSUBA2 = "/home/xzeng/code/mitsuba2/build/dist/mitsuba" ## Codes/mitsuba2/build/dist/mitsuba" # mitsuba exectuable
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# replaced by command line arguments
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def standardize_bbox_based_on(pcl, eps):
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pcl = pcl.numpy()[:, [0,2,1]]
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eps = eps.numpy()[:, [0,2,1]]
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pcl, center, scale = standardize_bbox(pcl, return_center_scale=1)
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eps = (eps - center) / scale if eps is not None else None
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offset = - 0.475 - pcl[:,2].min()
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eps[:,2] += offset
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return torch.from_numpy(eps)
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# PATH_TO_NPY = 'pcl_ex.npy' # the tensor to load
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def rotate_pts(pts, r, axis=1, do_transform=0, is_point_flow_data=1, eps=None):
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assert(len(pts.shape) == 2), f'require N,3 tensor, get: {pts.shape}'
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## logger.info('rotating pts: {}, get eps: {} ', pts.shape, eps is not None )
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is_tensor = torch.is_tensor(pts)
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if not is_tensor:
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pts = torch.from_numpy(pts)
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if eps is not None and not torch.is_tensor(eps):
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eps = torch.from_numpy(eps)
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if do_transform:
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pcl = pts.cpu().numpy()
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eps = eps.cpu().numpy() if eps is not None else None
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if not is_point_flow_data:
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pcl[:,0] *= -1
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pcl = pcl[:, [2,1,0]]
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if eps is not None:
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eps[:,0] *= -1
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eps = eps[:, [2,1,0]]
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pcl, center, scale = standardize_bbox(pcl, return_center_scale=1)
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eps = (eps - center) / scale if eps is not None else None
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pcl = pcl[:, [2, 0, 1]]
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pcl[:,0] *= -1
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pcl[:,2] += 0.0125
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if eps is not None:
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eps = eps[:, [2, 0, 1]]
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eps[:,0] *= -1
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eps[:,2] += 0.0125
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offset = - 0.475 - pcl[:,2].min()
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pcl[:,2] += offset
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if eps is not None:
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eps[:,2] += offset
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pts = torch.from_numpy(pcl)
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eps = torch.from_numpy(eps) if eps is not None else None
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pcl = o3d.geometry.PointCloud()
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pcl.points = o3d.utility.Vector3dVector(pts.cpu())
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if axis == 1:
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R = pcl.get_rotation_matrix_from_xyz((0, - r * np.pi / 2, 0))
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elif axis == 2:
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R = pcl.get_rotation_matrix_from_xyz((0, 0, - r * np.pi / 2))
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elif axis == 0:
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R = pcl.get_rotation_matrix_from_xyz((- r * np.pi / 2, 0, 0))
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#mesh_r = copy.deepcopy(pcl)
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#mesh_r.rotate(R, center=(0, 0, 0))
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#pts = np.asarray(mesh_r.points)
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h_center = w_center = 0
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center = np.array([h_center, w_center, 0]).reshape(-1,3)
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pts = np.matmul(pts.numpy() - center, R.T) + center
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eps = np.matmul(eps.numpy() - center, R.T) + center if eps is not None else eps
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if is_tensor:
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pts = torch.from_numpy(pts)
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eps = torch.from_numpy(eps) if eps is not None and not torch.is_tensor(eps) else eps
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if eps is not None:
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return pts, eps
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return pts
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# note that sampler is changed to 'independent' and the ldrfilm is changed to hdrfilm
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xml_head_segment = \
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"""
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<scene version="0.6.0">
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<integrator type="path">
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<integer name="maxDepth" value="-1"/>
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</integrator>
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<sensor type="perspective">
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<float name="farClip" value="100"/>
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<float name="nearClip" value="0.1"/>
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<transform name="toWorld">
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<lookat origin="{},{},{}" target="0,0,0" up="0,0,1"/>
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</transform>
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<float name="fov" value="25"/>
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<sampler type="ldsampler">
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<integer name="sampleCount" value="{}"/>
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</sampler>
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<film type="hdrfilm">
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<integer name="width" value="{}"/>
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<integer name="height" value="{}"/>
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<rfilter type="gaussian"/>
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</film>
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</sensor>
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<bsdf type="roughplastic" id="surfaceMaterial">
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<string name="distribution" value="ggx"/>
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<float name="alpha" value="0.05"/>
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<float name="intIOR" value="1.46"/>
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<rgb name="diffuseReflectance" value="1,1,1"/> <!-- default 0.5 -->
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</bsdf>
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"""
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# I also use a smaller point size
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xml_ball_segment = ['']*10
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xml_ball_segment[0] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="diffuse">
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<rgb name="reflectance" value="{},{},{}"/>
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</bsdf>
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</shape>
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"""
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xml_ball_segment[1] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="plastic" >
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<float name="intIOR" value="2.0"/>
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<rgb name="diffuseReflectance" value="{},{},{}"/> <!-- default 0.5 -->
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</bsdf>
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</shape>
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"""
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xml_ball_segment[2] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="plastic" >
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<float name="intIOR" value="1.9"/>
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<rgb name="diffuseReflectance" value="{},{},{}"/> <!-- default 0.5 -->
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</bsdf>
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</shape>
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"""
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xml_ball_segment[3] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="roughplastic" >
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<float name="intIOR" value="1.9"/>
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<string name="distribution" value="ggx"/>
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<float name="alpha" value="0.2"/>
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<rgb name="diffuseReflectance" value="{},{},{}"/> <!-- default 0.5 -->
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</bsdf>
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</shape>
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"""
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xml_ball_segment[4] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="roughplastic" >
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<float name="intIOR" value="1.6"/>
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<string name="distribution" value="ggx"/>
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<float name="alpha" value="0.2"/>
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<rgb name="diffuseReflectance" value="{},{},{}"/> <!-- default 0.5 -->
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</bsdf>
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</shape>
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"""
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xml_ball_segment[5] = \
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"""
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<shape type="sphere">
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<float name="radius" value="{}"/>
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<transform name="toWorld">
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<translate x="{}" y="{}" z="{}"/>
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</transform>
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<bsdf type="roughplastic">
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<float name="intIOR" value="1.7"/>
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<string name="distribution" value="ggx"/>
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<float name="alpha" value="0.2"/>
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<rgb name="diffuseReflectance" value="{},{},{}"/> <!-- default 0.5 -->
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</bsdf>
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</shape>
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"""
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xml_tail = \
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"""
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<shape type="rectangle">
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<ref name="bsdf" id="surfaceMaterial"/>
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<transform name="toWorld">
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<scale x="10" y="10" z="1"/>
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<translate x="0" y="0" z="-0.5"/>
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</transform>
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</shape>
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<shape type="rectangle">
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<transform name="toWorld">
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<scale x="10" y="10" z="1"/>
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<lookat origin="-1,1,20" target="0,0,0" up="0,0,1"/>
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</transform>
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<emitter type="area">
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<rgb name="radiance" value="6,6,6"/>
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</emitter>
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</shape>
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</scene>
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"""
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def trim(im):
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bg = Image.new(im.mode, im.size, im.getpixel((0,0))) ##border)
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diff = ImageChops.difference(im, bg)
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bbox = diff.getbbox()
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if bbox:
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return im.crop(bbox)
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else:
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return im
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def colormap(x, y, z):
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if torch.is_tensor(x):
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x = x.cpu().numpy()
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vec = np.array([x, y, z])
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vec = np.clip(vec, 0.001, 1.0)
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norm = np.sqrt(np.sum(vec ** 2))
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vec /= norm
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return [vec[0], vec[1], vec[2]]
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def standardize_bbox(pcl, return_center_scale=0):
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#pt_indices = np.random.choice(pcl.shape[0], points_per_object, replace=False)
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#np.random.shuffle(pt_indices)
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#pcl = pcl[pt_indices] # n by 3
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if torch.is_tensor(pcl):
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pcl = pcl.numpy()
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mins = np.amin(pcl, axis=0)
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maxs = np.amax(pcl, axis=0)
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center = (mins + maxs) / 2.
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scale = np.amax(maxs - mins)
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#print("Center: {}, Scale: {}".format(center, scale))
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result = ((pcl - center) / scale).astype(np.float32) # [-0.5, 0.5]
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if return_center_scale:
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return result, center, scale
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return result
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# only for debugging reasons
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def writeply(vertices, ply_file):
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sv = np.shape(vertices)
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points = []
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for v in range(sv[0]):
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vertex = vertices[v]
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points.append("%f %f %f\n" % (vertex[0], vertex[1], vertex[2]))
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print(np.shape(points))
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file = open(ply_file, "w")
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file.write('''ply
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format ascii 1.0
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element vertex %d
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property float x
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property float y
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property float z
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end_header
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%s
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''' % (len(vertices), "".join(points)))
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file.close()
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# as done in https://gist.github.com/drakeguan/6303065
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def ConvertEXRToJPG(exrfile, jpgfile, trim_img):
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File = OpenEXR.InputFile(exrfile)
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PixType = Imath.PixelType(Imath.PixelType.FLOAT)
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DW = File.header()['dataWindow']
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Size = (DW.max.x - DW.min.x + 1, DW.max.y - DW.min.y + 1)
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rgb = [np.fromstring(File.channel(c, PixType), dtype=np.float32) for c in 'RGB']
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for i in range(3):
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rgb[i] = np.where(rgb[i] <= 0.0031308,
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(rgb[i] * 12.92) * 255.0,
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(1.055 * (rgb[i] ** (1.0 / 2.4)) - 0.055) * 255.0)
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rgb8 = [Image.frombytes("F", Size, c.tostring()).convert("L") for c in rgb]
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Image.merge("RGB", rgb8).save(jpgfile, "PNG") ##JPEG", quality=95)
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img = Image.open(jpgfile)
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if trim_img:
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img = trim(img)
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img.save(jpgfile)
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def pts2png(input_pts, file_name, colorm=[24,107,239],
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skip_if_exists=False, is_color_list=False,
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sample_count=256, out_width=1600, out_height=1200,
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ball_size=0.025, do_standardize=0, same_computed_loc_color=0, material_id=0, precomputed_color=None,
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output_xml_file=None,
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use_loc_color=False, lookat_1=3, lookat_2=3, lookat_3=3, do_transform=1, trim_img=0):
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"""
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Argus:
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input_pts: (B,N,3) the points to be render
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file_name: list; output image name
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"""
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assert(len(input_pts.shape) == 3), f'expect: B,N,3; get: {input_pts.shape}'
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assert(type(file_name) is list), f'require file_name as list'
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xml_head = xml_head_segment.format(
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lookat_1, lookat_2, lookat_3,
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sample_count, out_width, out_height)
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input_pts = input_pts.cpu()
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# print('get shape; ', input_pts.shape)
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color_list = []
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for pcli in range(0, input_pts.shape[0]):
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xmlFile = '/tmp/tmp_%s.xml'%random_str if output_xml_file is None else output_xml_file
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# ("%s/xml/%s.xml" % (folder, filename))
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exrFile = '/tmp/tmp_%s.exr'%random_str ##("%s/exr/%s.exr" % (folder, filename))
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png = file_name[pcli]
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if skip_if_exists and os.path.exists(png):
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print(f'find png: {png}, skip ')
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continue
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pcl = input_pts[pcli, :, :]
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if do_transform:
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pcl = standardize_bbox(pcl)
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pcl = pcl[:, [2, 0, 1]]
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pcl[:, 0] *= -1
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pcl[:, 2] += 0.0125
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offset = - 0.475 - pcl[:,2].min()
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pcl[:,2] += offset
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if do_standardize:
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pcl = standardize_bbox(pcl)
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offset = - 0.475 - pcl[:,2].min()
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pcl[:,2] += offset
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xml_segments = [xml_head]
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for i in range(pcl.shape[0]):
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if precomputed_color is not None:
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color = precomputed_color[i]
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elif use_loc_color and not same_computed_loc_color:
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color = colormap(pcl[i, 0] + 0.5, pcl[i, 1] + 0.5, pcl[i, 2] + 0.5 - 0.0125)
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elif use_loc_color and same_computed_loc_color:
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if pcli == 0:
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color = colormap(pcl[i, 0] + 0.5, pcl[i, 1] + 0.5, pcl[i, 2] + 0.5 - 0.0125)
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color_list.append(color)
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else:
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color = color_list[i] # same color as first shape
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elif is_color_list:
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color = colorm[pcli]
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color = [c/255.0 for c in color]
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else:
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color = [c/255.0 for c in colorm]
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xml_segments.append(xml_ball_segment[material_id].format(
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ball_size,
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pcl[i, 0], pcl[i, 1], pcl[i, 2], *color))
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## print('using color: ', color)
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xml_segments.append(xml_tail)
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xml_content = str.join('', xml_segments)
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if not os.path.exists(os.path.dirname(xmlFile)):
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os.makedirs(os.path.dirname(xmlFile))
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with open(xmlFile, 'w') as f:
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f.write(xml_content)
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logger.info('[render_mitsuba_pc] write output at: {}', xmlFile)
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f.close()
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if not os.path.exists(os.path.dirname(exrFile)):
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os.makedirs(os.path.dirname(exrFile))
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if not os.path.exists(os.path.dirname(png)):
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os.makedirs(os.path.dirname(png))
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logger.info('*'*20 + f'{png}' +'*'*20)
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# mitsuba2
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#subprocess.run([PATH_TO_MITSUBA2, '-o', exrFile, xmlFile])
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#ConvertEXRToJPG(exrFile, png, trim_img)
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scene = mi.load_file(xmlFile)
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image = mi.render(scene) ##, spp=256)
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mi.util.write_bitmap(png, image)
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if trim_img:
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img = Image.open(png)
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img.save(png)
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return png
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if __name__ == "__main__":
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if (len(sys.argv) < 2):
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print('filename to npy/ply is not passed as argument. terminated.')
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raise ValueError
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pathToFile = sys.argv[1]
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main(pathToFile)
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128
utils/render_voxel_cubes.py
Normal file
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utils/render_voxel_cubes.py
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# Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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#
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# NVIDIA CORPORATION & AFFILIATES and its licensors retain all intellectual property
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# and proprietary rights in and to this software, related documentation
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# and any modifications thereto. Any use, reproduction, disclosure or
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# distribution of this software and related documentation without an express
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# license agreement from NVIDIA CORPORATION & AFFILIATES is strictly prohibited.
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import os
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import numpy as np
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import open3d as o3d
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import sys
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import torch
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import point_cloud_utils as pcu
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from PIL import Image
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sys.path.append('.')
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import torch
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from utils._render_mitsuba_cubes import render_cubes2png
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# from script.paper.vis_mesh.render_mitsuba import reformat_ply
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def reformat_ply(input, output, r=0, is_point_flow_data=0,
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ascii=False, write_normal=False, fixed_trimesh=1):
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m = open3d.io.read_triangle_mesh(input)
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pcl = np.asarray(m.vertices)
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if not is_point_flow_data:
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pcl[:,0] *= -1
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pcl = pcl[:, [2,1,0]]
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pcl = standardize_bbox(pcl)
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pcl = pcl[:, [2, 0, 1]]
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pcl[:,0] *= -1
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pcl[:,2] += 0.0125
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offset = - 0.475 - pcl[:,2].min()
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pcl[:,2] += offset
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m.vertices = open3d.utility.Vector3dVector(pcl)
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R = m.get_rotation_matrix_from_xyz((0, 0, - r * np.pi / 2))
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mesh_r = copy.deepcopy(m)
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mesh_r.rotate(R, center=(0, 0, 0))
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## o3d.visualization.draw_geometries([mesh_r])
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open3d.io.write_triangle_mesh(output, mesh_r, write_ascii=ascii, write_vertex_normals=False)
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if fixed_trimesh:
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mesh = trimesh.load_mesh(output) ## '../models/featuretype.STL')
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trimesh.repair.fix_inversion(mesh)
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trimesh.repair.fix_normals(mesh)
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mesh.export(output)
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logger.info(f'load {input}, write as {output}; ascii={ascii}, write_normal: {write_normal}')
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return output
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def get_vpts(cubes):
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import kaolin
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v,f = kaolin.ops.conversions.voxelgrids_to_cubic_meshes(cubes) ##voxelgrids_to_trianglemeshes(voxel_volume)
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v = [vi.cpu() for vi in v]
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f = [fi.cpu() for fi in f]
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return v, f
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def create_dir(output_path):
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if not os.path.exists(output_path):
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os.makedirs(output_path)
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def convert_cube_2_mesh(voxel_size, center_list, output_path, overwrite=0, colorm=[93,64,211], rotate=None, config={}):
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scale = 0.5 * (center_list.max() - center_list.min())
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pcl = center_list
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mins = np.amin(pcl, axis=0).reshape(1,pcl.shape[-1]) ##np.amin(pcl, axis=1)[:, None, :], axis=0)[None, None, :]
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maxs = np.amax(pcl, axis=0).reshape(1,pcl.shape[-1]) ##np.amin(pcl, axis=1)[:, None, :], axis=0)[None, None, :]
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center = ( mins + maxs ) / 2.
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scale = np.amax(maxs-mins)
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center_list = (center_list - center) / scale ## (center_list.max() - center_list.min())
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center_list = center_list[:,[2,0,1]]
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center_list[:,0] *= -1 #center_list
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offset = - 0.475 - center_list[:,2].min()
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center_list[:,2] += offset
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if rotate is not None:
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pts = torch.from_numpy(center_list)
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pcl = o3d.geometry.PointCloud()
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pcl.points = o3d.utility.Vector3dVector(pts.cpu())
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R = pcl.get_rotation_matrix_from_xyz((0, 0, - rotate * np.pi / 2))
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center = np.array([0, 0, 0]).reshape(-1,3)
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pts = np.matmul(pts.numpy() - center, R.T) + center
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center_list = pts
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output_name = output_path
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print('center_list: ', center_list.shape)
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if not os.path.exists(os.path.dirname(output_name)):
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os.makedirs(os.path.dirname(output_name))
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if os.path.exists(output_name) and not overwrite:
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print(f'find rendered output: {output_name}, skip')
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return
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out = render_cubes2png(pcl=center_list, filename=output_name,
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vs_size=0.9*voxel_size/scale, colorm=colorm, **config)
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print(' save as: ', out)
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#img = Image.open(out)
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#img.show()
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print('output_path: ', output_path)
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return out
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def create_unit_cube():
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voxelgrid = torch.tensor([1], device='cuda', dtype=torch.uint8).view(1,1,1,1)
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v, f = get_vpts(voxelgrid)
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v = v[0]
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f = f[0]
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v = v - 0.5 # [-0.5, 0.5]
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print('v: ', v)
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print('f: ', v)
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output_name = './script/paper/vis_voxel_exp/unit_cube.ply'
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print('save output as: ', output_name)
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pcu.save_mesh_vf(output_name, v.numpy(), f.numpy())
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reformat_ply(output_name, output_name, r=0)
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def write_small_cube():
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mesh_compare = './script/paper/vis_voxel_exp/unit_cube2.ply'
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m = o3d.io.read_triangle_mesh(mesh_compare)
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pcl = np.asarray(m.vertices) * 0.5
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m.vertices = o3d.utility.Vector3dVector(pcl) ##.float()) ## torch.from_numpy(pcl))
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o3d.io.write_triangle_mesh(mesh_compare.replace('.ply', 'w1.ply'),
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m, write_ascii=True, write_vertex_normals=True)
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# write_small_cube()
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if __name__ == '__main__':
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input_path = '/home/xzeng/plots/voxel_exp/voxel_cube/raw'
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index = "3 328 91 83 74 73 64 63 54 51 48 45 41 30 22"
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convert_cube_2_mesh(input_path, index)
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# create_unit_cube()
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