asetsuna

Steps to create Textured Mesh from Point Cloud using Meshlab

Get your PointCloud into MeshLab

• Import the pointcloud file in ".ply" file format in Meshlab. Before importing make sure you do some pre-processing / cleaning on point cloud so as to ease the process of meshing.

Point Cloud Simplification and Normals Computation

• Next we need to reduce the number of point samples for smooth meshing.
  • So go to Filters -> Point Set -> Point Cloud Simplification. Enter Number of samples circa 5% of original number of points. Make sure Best Sample Heuristic is checked.
• After point cloud simplification, make sure to select Simplified point cloud in the Show Layer Dialog on the right hand side. If not visible, it can be opened by navigating to View -> Show Layer Dialog. Now we need to compute normals for point set.
• So go to Filters -> Point Set -> Compute normals for point sets . Enter Neighbour num between 10 - 100. Initially try with 10 and

asetsuna

Here's a simple implementation of bilinear interpolation on tensors using PyTorch.

I wrote this up since I ended up learning a lot about options for interpolation in both the numpy and PyTorch ecosystems. More generally than just interpolation, too, it's also a nice case study in how PyTorch magically can put very numpy-like code on the GPU (and by the way, do autodiff for you too).

For interpolation in PyTorch, this open issue calls for more interpolation features. There is now a nn.functional.grid_sample() feature but at least at first this didn't look like what I needed (but we'll come back to this later).

In particular I wanted to take an image, W x H x C, and sample it many times at different random locations. Note also that this is different than upsampling which exhaustively samples and also doesn't give us fle

asetsuna

"""Convert jupyter notebook to sphinx gallery notebook styled examples.

Usage: python ipynb_to_gallery.py <notebook.ipynb>

Dependencies:
pypandoc: install using `pip install pypandoc`
"""
import pypandoc as pdoc
import json

asetsuna

# 作者：吴育昕
# 链接：https://www.zhihu.com/question/286255813/answer/449907307

import numpy as np
import tensorflow as tf


def crop_and_resize(image, boxes, box_ind, crop_size, pad_border=True):
    """
    Aligned version of tf.image.crop_and_resize, following our definition of floating point boxes.

asetsuna

# coding: utf-8
"""
シンプルなパストレーサー
cf. http://www.kevinbeason.com/smallpt/
"""
import shutil
import numpy as np
import tensorflow as tf

asetsuna

"""
MIT License

Copyright (c) 2017 Cyrille Rossant

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

asetsuna

const {
    aceVimMap,
    mapkey,
    imap,
    imapkey,
    getClickableElements,
    vmapkey,
    map,
    unmap,
    vunmap,