Shijie Lin eleboss

How to configure Git and setup GitHub on new machine

By Qin Yu, last updated in Feb 2025. I hope this will save time for everyone.

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.

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

Testing done using a Canon EOS 600D and a Canon EF-S18-55mm f/3.5-5.6 IS II.

	#!/usr/bin/env python
	#
	# Copyright (c) Diligent Robotics, 2018
	# Copyright (c) Adam Allevato, 2018
	# All rights reserved.
	#
	# Redistribution and use in source and binary forms, with or without
	# modification, are permitted provided that the following conditions are met:
	#
	# * Redistributions of source code must retain the above copyright notice, this

	import numpy as np
	from sklearn.model_selection import train_test_split

	import torch
	import torch.nn as nn
	from torch.autograd import Variable

	np.random.seed(1337)

	MAX_LEN = 30