Héctor Azpúrua h3ct0r

How to Resize an Image in Github README.md (i.e. Github Flavored Markdown)

Percentage:

<img src="https://user-images.githubusercontent.com/16319829/81180309-2b51f000-8fee-11ea-8a78-ddfe8c3412a7.png" width=50% height=50%>

Pixels:

<img src="https://user-images.githubusercontent.com/16319829/81180309-2b51f000-8fee-11ea-8a78-ddfe8c3412a7.png" width="150" height="280">

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

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

Notes for using the Fire Stick for streaming and emulation (from a Canadian user). https://bit.ly/2ONhen3

Update package lists, download and install NVIDIA driver

sudo apt-get update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-410

	function ClickConnect() {
	console.log('Working')
	document
	.querySelector('#top-toolbar > colab-connect-button')
	.shadowRoot.querySelector('#connect')
	.click()
	}
	intervalTiming = setInterval(ClickConnect, 60000)

	package com.improve_future.sample

	import java.io.Closeable
	import java.sql.DriverManager
	import java.sql.Statement
	import java.text.SimpleDateFormat

	class Connection(private val coreConnection: java.sql.Connection) :
	java.sql.Connection by coreConnection, Closeable {

	def skeletonize(img):
	""" OpenCV function to return a skeletonized version of img, a Mat object"""

	# hat tip to http://felix.abecassis.me/2011/09/opencv-morphological-skeleton/

	img = img.copy() # don't clobber original
	skel = img.copy()

	skel[:,:] = 0
	kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3,3))

	#!/bin/bash
	# Adicione um novo remote; pode chamá-lo de "upstream":

	git remote add upstream https://github.com/usuario/projeto.git

	# Obtenha todos os branches deste novo remote,
	# como o upstream/master por exemplo:

	git fetch upstream