Library: Foundation
Package: Core
Header: Poco/DynamicFactory.h
Description
A factory that creates objects by class name.
Member Summary
Member Functions: createInstance, isClass, registerClass, unregisterClass
Types
AbstractFactory
typedef AbstractInstantiator < Base > AbstractFactory;
Constructors
DynamicFactory
Creates the DynamicFactory.
Destructor
~DynamicFactory
~DynamicFactory();
Destroys the DynamicFactory and deletes the instantiators for all registered classes.
Member Functions
createInstance
Base * createInstance(
const std::string & className
) const;
Creates a new instance of the class with the given name. The class must have been registered with registerClass. If the class name is unknown, a NotFoundException is thrown.
isClass
bool isClass(
const std::string & className
) const;
Returns true if and only if the given class has been registered.
registerClass
template < class C > void registerClass(
const std::string & className
);
Registers the instantiator for the given class with the DynamicFactory. The DynamicFactory takes ownership of the instantiator and deletes it when it's no longer used. If the class has already been registered, an ExistsException is thrown and the instantiator is deleted.
registerClass
void registerClass(
const std::string & className,
AbstractFactory * pAbstractFactory
);
Registers the instantiator for the given class with the DynamicFactory. The DynamicFactory takes ownership of the instantiator and deletes it when it's no longer used. If the class has already been registered, an ExistsException is thrown and the instantiator is deleted.
unregisterClass
void unregisterClass(
const std::string & className
);
Unregisters the given class and deletes the instantiator for the class. Throws a NotFoundException if the class has not been registered.


§387-15 Relation to child labor law. Nothing in this chapter shall in any way repeal or affect the validity of chapter 390. [L Sp 1941, c 66, §15; RL 1945, §4366; RL 1955, §94-16; HRS §387-15; am L 1980, c 232, §22]


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Item Positioners
Positioner items are container items that manage the positions of items in a declarative user interface. Positioners behave in a similar way to the layout managers used with standard Qt widgets, except that they are also containers in their own right.
Positioners make it easier to work with many items when they need to be arranged in a regular layout.
Qt Quick Layouts can also be used to arrange Qt Quick items in a user interface. They manage both the positions and the sizes of items on a declarative user interface, and are well suited for resizable user interfaces.
Positioners
A set of standard positioners are provided in the basic set of Qt Quick graphical types:
Property used to mirror layout behavior | |
Positions its children in a column | |
Positions its children side by side, wrapping as necessary | |
Positions its children in grid formation | |
Provides attached properties that contain details on where an item exists in a positioner | |
Positions its children in a row |
Column
Column items are used to vertically arrange items. The following example uses a Column item to arrange three Rectangle items in an area defined by an outer Item. The spacing property is set to include a small amount of space between the rectangles.
import QtQuick 2.0 Item { width: 310; height: 170 Column { anchors.horizontalCenter: parent.horizontalCenter anchors.verticalCenter: parent.verticalCenter spacing: 5 Rectangle { color: "lightblue"; radius: 10.0 width: 300; height: 50 Text { anchors.centerIn: parent font.pointSize: 24; text: "Books" } } Rectangle { color: "gold"; radius: 10.0 width: 300; height: 50 Text { anchors.centerIn: parent font.pointSize: 24; text: "Music" } } Rectangle { color: "lightgreen"; radius: 10.0 width: 300; height: 50 Text { anchors.centerIn: parent font.pointSize: 24; text: "Movies" } } } }
Note that, since Column inherits directly from Item, any background color must be added to a parent Rectangle, if desired.
Row
Row items are used to horizontally arrange items. The following example uses a Row item to arrange three rounded Rectangle items in an area defined by an outer colored Rectangle. The spacing property is set to include a small amount of space between the rectangles.
We ensure that the parent Rectangle is large enough so that there is some space left around the edges of the horizontally centered Row item.
import QtQuick 2.0 Rectangle { width: 320; height: 110 color: "#c0c0c0" Row { anchors.horizontalCenter: parent.horizontalCenter anchors.verticalCenter: parent.verticalCenter spacing: 5 Rectangle { width: 100; height: 100; radius: 20.0 color: "#024c1c" } Rectangle { width: 100; height: 100; radius: 20.0 color: "#42a51c" } Rectangle { width: 100; height: 100; radius: 20.0 color: "white" } } }
Grid
Grid items are used to place items in a grid or table arrangement. The following example uses a Grid item to place four Rectangle items in a 2-by-2 grid. As with the other positioners, the spacing between items can be specified using the spacing property.
import QtQuick 2.0 Rectangle { width: 112; height: 112 color: "#303030" Grid { anchors.horizontalCenter: parent.horizontalCenter anchors.verticalCenter: parent.verticalCenter columns: 2 spacing: 6 Rectangle { color: "#aa6666"; width: 50; height: 50 } Rectangle { color: "#aaaa66"; width: 50; height: 50 } Rectangle { color: "#9999aa"; width: 50; height: 50 } Rectangle { color: "#6666aa"; width: 50; height: 50 } } }
There is no difference between horizontal and vertical spacing inserted between items, so any additional space must be added within the items themselves.
Any empty cells in the grid must be created by defining placeholder items at the appropriate places in the Grid definition.
Flow
Flow items are used to place items like words on a page, with rows or columns of non-overlapping items.
Flow items arrange items in a similar way to Grid items, with items arranged in lines along one axis (the minor axis), and lines of items placed next to each other along another axis (the major axis). The direction of flow, as well as the spacing between items, are controlled by the flow and spacing properties.
The following example shows a Flow item containing a number of Text child items. These are arranged in a similar way to those shown in the screenshots.
import QtQuick 2.0 Rectangle { color: "lightblue" width: 300; height: 200 Flow { anchors.fill: parent anchors.margins: 4 spacing: 10 Text { text: "Text"; font.pixelSize: 40 } Text { text: "items"; font.pixelSize: 40 } Text { text: "flowing"; font.pixelSize: 40 } Text { text: "inside"; font.pixelSize: 40 } Text { text: "a"; font.pixelSize: 40 } Text { text: "Flow"; font.pixelSize: 40 } Text { text: "item"; font.pixelSize: 40 } } }
The main differences between the Grid and Flow positioners are that items inside a Flow will wrap when they run out of space on the minor axis, and items on one line may not be aligned with items on another line if the items do not have uniform sizes. As with Grid items, there is no independent control of spacing between items and between lines of items.
Other Ways to Position Items
There are several other ways to position items in a user interface. In addition to the basic technique of specifying their coordinates directly, they can be positioned relative to other items with anchors, or used with QML Data Models such as Object Model.


--- layout: default tracks: - title: "Scratch Rabbit" url: https://missesellipsis.bandcamp.com/track/scratchrabbit artwork: /images/a1855338691_16.jpg audio: /media/ScratchRabbitROUGH.wav - title: "Takeshita St." url: https://missesellipsis.bandcamp.com/track/takeshita-st artwork: /images/Winter TS.JPG/128 audio: /media/TakeshitaSt_Mix5_MASTER.wav --- Latest News {% for post in site.posts limit:4 %} {{ post.title }} {{ post.excerpt | truncatewords: 15 }} {% endfor %} Recent Music {% for track in page.tracks %} {{track.title}} {% endfor %}


Helvellyn is the third-highest point both in England and in the Lake District, and access to Helvellyn is easier than to the two higher peaks of Scafell Pike and Sca Fell. The scenery includes three deep glacial coves and two sharp-topped ridges on the eastern side (Striding Edge and Swirral Edge). Many routes up the mountain are possible so that it may be approached from all directions.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Voluptatibus ipsam rem adipisci enim, obcaecati a iusto, unde quibusdam eius placeat commodi doloribus voluptatum amet soluta hic in dolorem quaerat quam.


public class CellArray1D
extends java.lang.Object
Cell
objects which can kill or resurrect Cells and
retrieve neighborhoods about individual Cells.| Modifier and Type | Field and Description |
|---|---|
int |
length
the number of Cells in this.
|
| Constructor and Description |
|---|
CellArray1D(int[] intArray)
Instantiates a
CellArray1D from an int array with the standard radial topology
of the fineness granularity. |
CellArray1D(int[] intArray,
Topology1D topo)
Instantiates a
CellArray1D from an array of integers. |
CellArray1D(int length,
Topology1D topo)
Instantiates a
CellArray1D of length containing only dead Cells. |
| Modifier and Type | Method and Description |
|---|---|
Cell |
getCell(int i)
Retrieves the
Cell at position i. |
int |
getNeighborhood(int i)
Gets the neighborhood that is specified by this topology
|
Topology1D |
getTopology()
Retrieve the
Topology of this |
void |
killCell(int i)
Kills the
Cell at position i |
int |
leftOf(int i,
int r)
Retrieves the number of living
Cell s in a region of radius r to the left of the
Cell at position i |
int |
livingCells()
Computes the number of living Cells in this.
|
int |
radial(int i,
int r)
Retrieves the
CellArray1D containing the Cell s about the i-th Cell in a
symmetric neighborhood of radius r. |
void |
reviveCell(int i)
Revives the
Cell at position i. |
int |
rightOf(int i,
int r)
Retrieves the number of living
Cell s in a region of radius r to the right of the
Cell at position i |
int[] |
toBinaryArray()
Gives an array of binary Values corresponding to the
Cell s in this. |
java.lang.String |
toString()
Translates this into a String containing binary integers representing the
Cell states of this. |
public CellArray1D(int[] intArray)
CellArray1D
from an int array with the standard radial topology
of the fineness granularity.intArray
- an array of ints representing the initial states of thispublic CellArray1D(int length, Topology1D topo)
CellArray1D
of length containing only dead Cells.length
- the number of Cells in the arraypublic CellArray1D(int[] intArray, Topology1D topo)
CellArray1D
from an array of integers.intArray
- the generating arraypublic int leftOf(int i, int r)
Cell
s in a region of radius r to the left of the
Cell at position ii
- the position of the Cellr
- the radius of the left-hand regionpublic int rightOf(int i, int r)
Cell
s in a region of radius r to the right of the
Cell at position ii
- the position of the Cellr
- the radius of the right-hand regionpublic int radial(int i, int r)
CellArray1D
containing the Cell
s about the i-th Cell in a
symmetric neighborhood of radius r.i
- the index of the center of the neighborhoodr
- the radius of the neighborhoodpublic int getNeighborhood(int i)
i
- the index of the neighborhood centerpublic Topology1D getTopology()
Topology
of thisTopology
public int[] toBinaryArray()
Cell
s in this.
1 indicates that the Cell is alive and 0 indicates that it is dead.public int livingCells()
public Cell getCell(int i)
Cell
at position i.i
- index of the cell.public void killCell(int i)
Cell
at position ii
- the position of the Cellpublic void reviveCell(int i)
Cell
at position i.i
- the position of the Cell.public java.lang.String toString()
Cell
states of this.toString
in class java.lang.Object


[1]
Screen, internet, touch screen, apps.; Battery life.
[2]
it's quick!; Battery life could be better


I have been a writer, blogger, and have been working in the marketing industry for the past few years. This year I have decided to change my career and have enrolled in The Full-Time React Track at Epicodus Program. This course is an intensive immersion into coding and will consist of a 15 weeks of language specific study plus five weeks of intro to programming, and a five week internship. I hope to get a position as a jr developer working on front end design, or something that is akin to the field of development, i.e, UX designer, project manager, or QA.


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Vitality Documentation
An overview of the Vitality theme along with usage instructions for its various components.
An overview of the Vitality theme along with usage instructions for its various components.
Vitality is a one page website theme built on the Bootstrap framework.
Thank you for purchasing Vitality! These docs provide usage instructions for the various components built into the theme. If you run into any other problems with the theme, or encounter any bugs, please contact Start Bootstrap Themes directly through the contact form on our profile page at WrapBootstrap here: https://wrapbootstrap.com/user/StartBootstrap.
Vitality comes with five different prebuilt sample pages for various types of websites along with ten color schemes.
Vitality is a flexible theme and comes with five different website samples and ten color schemes to start with. The theme also includes LESS files for deeper customization, a working contact form, and a variety of powerful jQuery plugins.
The following plugins are used in the Vitality theme. For more detailed usage instructions for each plugin, please visit the plugin website using the links provided below.
Updating a plugin to a newer version may causes some elements in the theme to malfunction. Please contact Start Bootstrap Themes if you are having a problem updating a plugin and we will update the theme.
Vitality comes built with 10 different color schemes. Each color scheme has it's own CSS file associated with it. After you've picked a color scheme, make sure to uncomment it within the
tag. You can use any of the following color schemes:
<link href="assets/css/vitality-red.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-aqua.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-blue.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-green.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-orange.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-pink.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-purple.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-tan.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-turquoise.css" rel="stylesheet" type="text/css">
<link href="assets/css/vitality-yellow.css" rel="stylesheet" type="text/css">
Make sure to only use one of the 10 available stylesheets available!
In addition to the defauly Bootstrap buttons there are two additional button styles that are used in the Vitality theme.
For use on light backgrounds. Examples: "Send" button on the contact form, "Sign Up" button on the pricing table.
.btn-outline-dark
For use on dark backgrounds. Example: Call to action buttons, "View Details" buttons on the portfolio section.
.btn-outline-dark
There are three body styles that you can use with the Vitality theme: default, modern, and vintage. To use the files, all you need to do is change the class of the body tag.
Raleway heading font with Roboto paragraph font.

Montserrat heading font with Cardo paragraph font.

Sanchez heading font with Cardo paragraph font.

Each body style uses different fonts. Check the fonts in the
section to make sure you are using the correct fonts for your style.
The Vitality header comes with two options. You can either use a background image or a background video.
The first option for the Vitality header is the use of a background image. The header background image in the sample templates are set using inline CSS directly in the document.
To edit the header image, change the path of the background image in the
tag. Make sure your image path is correct.
Example:
.
All of the images in the theme samples were edited in Photoshop to have a dark overlay. For optimial legibility on the foreground content, we recommend giving all background images a 50% opacity, black overlay or decreasing the brightness on the image.
Our recommended image dimensions for background images is 1500x1000 pixels.
To configure a background video for your header you will need to configure the Formstone Background plugin in the vitality.js
file. You must also be using the header structure used in the video.html
sample file. You will also want to edit the file path of the mobile fallback image.
Example: Edit the poster
and mp4
file paths in the vitality.js
file. Supported file formats are mp4, ogg, and webm. For more information on using the Formstone Background plugin, visit http://formstone.it/components/background.
// Formstone Background - Video Background Settings
$("header.video").background({
source: {
poster: "assets/img/bg-mobile-fallback.jpg",
mp4: "assets/mp4/camera.mp4"
}
});
When you're using a background video for your header, you want to keep the file size as small as possible so you don't have pauses or stuttering in your video as it plays in the background. A great, open source tool you can use is a program called Handbrake. To compress your video, download Handbrake and run your video through the program with the "Web Optimized" box checked. It can convert a 20MB mp4 video file down to 2MB without quality loss!
Vitality includes a working contact form. All of the sample pages, except for the culinary.html
sample, include a contact form. In order to activate the form, follow these directions:
mail/contact_me.php
file.$to =<EMAIL_ADDRESS>// *REPLACE WITH THE EMAIL ADDRESS YOU WANT THE FORM TO SEND MAIL TO*
$headers = "From<EMAIL_ADDRESS>// *REPLACE WITH THE EMAIL ADDRESS YOU WANT THE MESSAGE TO BE FROM*
. Typically, an email address like<EMAIL_ADDRESS>will work here.If you want to add fields to the contact form, you will need to edit the mail/contact_me.php
file as well as the assets/js/contact_me.js
file. Requires basic working knowledge of PHP and JavaScript.
If you have followed the instructions above, and uploaded your website to a live server and the form is still not working then it is likely that your web host is blocking the form from sending messages. In order to troubleshoot form functionality after it's been uploaded it is best to contact your server administrator or web host to see if there are permissions or security features preventing the form from sending, or if the version of PHP on your web server is not compatible with the form scripts.
Vitality now comes with a call to action box that has a built-in MailChimp signup form. All you need to do in order to activate this feature is include your MailChimp form action within the template! Below are the steps on how to do this.
<form action="...">
. Copy the contents of the form action that is between the quotations, and drop the form action URL into the Vitality template you're using!If you aren't using MailChimp you can still use the signup form HTML. Just delete references to the MailChimp scripts and use the remaining HTML as a template for your different signup method!
As a one page theme, the smooth page scrolling feature is a great way to let your users navigation your content while being contsantly aware of where they are on the page. In order to use the page scroll content, you need a few things. You need a link that you want users to click on to bring them to a section, a unique ID set for the section you want to navigation to, and the page-scroll
class added to the link itself.
Here is an example of what a link needs in order to scroll to a section:
Link Text
Note the page-scroll
class being added to the link. For a more detailed example, see the links in the navigation bar within any of the samples!
Here is an example of what your section should look like that you're linking to with the above link example:

...

Note that the section's ID matches the link's destination!
The Retina.js jQuery plugin allows for easy retina image support with this theme. The retina.js
script checks your server for images with the @2x modifier. If an image exists with the @2x modifier, retina devices will load that image instead of the original.
For example, in our samples, we include a logo.png
file in our navigation bar. If you look in the assets/img/
folder, you will see two versions of the file: logo.png
and<EMAIL_ADDRESS>. The difference between the two files is that the<EMAIL_ADDRESS>file is twice the size of the original file. On retina devices, the @2x file will load in place of the original file, displaying crisp, high quality image.
For more information about using the Retina.js plugin please visit http://imulus.github.io/retinajs/.
The Vitality theme comes built-in with 4 modal windows that open up as individual portfolio items. If you are using the full width portfolio carousel, then the 4 modal windows correspond with the four different slides. If you choose to use the portfolio grid, then you may want to add more portfolio item modals to your theme!
If you want to add more items to your theme, the first step is to copy one of the example modals, and paste it as many times as you want (depending on the number of portfolio items you have). Next, you will want to copy some of the portfolio items in the preview area (either the full screen carousel slides, or the individual portfolio items on the grid) and create as many as you would like.
Once you have your portfolio items copied, and the modals copied, you will need to connect the two. If you look at the example modals, you will see that the portfolio items will reference an ID in the link tag. For example, you will see the items reference href="#portfolioModal1"
in the link tag. You will then see at the bottom of the HTML, the modal windows themselves have ID's attached to them. For example, id="portfolioModal1"
. All you need to do when adding more items is make sure the link tag and the ID on the portfolio modal match. In the theme, you are given ID's 1-4 to work with, so it's reccomended to go to 5, 6, 7 and on when making new modals. Again, just make sure the link tag and the modal ID match for each portfolio item you're making!
If you run into problems, bugs, or have general questions about the theme, please feel free to email us using the form on our WrapBootstrap profile page at https://wrapbootstrap.com/user/StartBootstrap and we will attempt to answer your questions. We also offer custom design services if you are looking for a customized version of this theme (custom design services are not included with purchase).
Once again, thank you for choosing Vitality, and we wish you the best of luck on many projects to come!
Start Bootstrap Themes is always adding new features and making improvements to Vitality! That being said, whenever the theme is updated you will want to update your own website. Referenced below are some changes you might need to make to your own theme if you choose to use the updated files:
In version 1.3.3, a new class was added to distinguish between regular links and links that allow the page to smooth scroll to an anchor point. The best example of this is shown in the navigation menu. Make sure to update any of your links that scroll somewhere on the page by adding the .page-scroll
class to them. Below is an example of what a menu bar link looks like in 1.3.x and what the new format is in 1.3.3. Use the below information, along with the theme files, for reference.

About

About

Make sure to add the .page-scroll
to any link that is smooth scrolling to another ID on the page. This includes the logo in the navigation bar, buttons, and any other elements!


Read File 1 & 2 Many paired read libraries are given as file pairs, with each file containing half of each read pair. Paired read files are expected to be sorted such that each read in a pair occurs in the same Nth position as its mate in their respective files. These files are specified as READ FILE 1 and READ FILE 2. For a given file pair, the selection of which file is READ 1 and which is READ 2 does not matter.
File 1 Interleaved Some paired libaries are available in a single file where each read in a pair occurs in succession. To specify such a file set this parameter to 'True'.
Mean Insert Size This refers to the mean insert size between paired reads. If you have this information you may provide it. If not the assembly algorithm will make an attempt to determine this value.
Std. Insert Size This refers to the standard deviation of the insert size between paired reads. If you have this information you may provide it. If not the assembly algorithm will make an attempt to determine this value.
Mate Paired Defines the orientation of read pairs. Setting Mate Paired to true indicates that the sequencing direction of the two reads in each pair is outward facing.
Platform The sequencing platform used for each library. “infer”: Infer sequencing platform from read files; “illumina”: Illumina short reads; “pacbio”: PacBio long reads; “nanopore”: MinION long reads
This parameter can be used to specify a FASTA contigs file to evaluate the assembly against.
The workspace folder where results will be placed.
Name used to uniquely identify results.
auto
For short reads:
For long reads (PacBio or Nanopore):
fast
full_spades
kiki
miseq
plasmid
smart
For short reads:
For long reads (PacBio or Nanopore):
tagdust velvetThis pipeline will simply run tagdust to remove adapter sequences in the reads and then assemble them with velvet. Note: quotes should not be used around the two modules as they have special meaning in pipeline syntax.
a6You can also invoke an assembler that we have not included in our curated strategies. In this case, A6 is an assembler with its built-in preprocessing and postprocessing steps.
"tagdust none" "megahit velvet" sspaceYou can use quotes to specify alternative modules you would like to try at each step. This example will launch a cartesian combination of four parallel pipelines: tagdust+megahit+sspace, tagdust+velvet+sspace, megahit+sspace, velvet+sspace.


Class ORB
- java.lang.Object
-
- algorithms.imageProcessing.features.orb.ORB
-
public class ORB extends java.lang.Object
An implementation of "ORB: an efficient alternative to SIFT or SURF" (paper reference is Rublee, Rabaud, Konolige, and Bradski, 2011). http://www.vision.cs.chubu.ac.jp/CV-R/pdf/Rublee_iccv2011.pdf excerpts from the paper: ORB is a very fast binary descriptor based on BRIEF, which is rotation invariant and resistant to noise. It builds on the well-known FAST keypoint detector and the recently-developed BRIEF descriptor [6]; for this reason we call it ORB (Oriented FAST and Rotated BRIEF). FAST and its variants are the method of choice for finding keypoints in real-time systems that match visual features, for example, Parallel Tracking and Mapping. It is efficient and finds reasonable corner keypoints, although it must be augmented with pyramid schemes for scale, and in our case, a Harris corner filter [11] to reject edges and provide a reasonable score. ORB orientation operator is built using the centroid technique of Rosin. Descriptor BRIEF: is a recent feature descriptor (a bit string description of an image patch) that uses simple binary tests between pixels in a smoothed image patch. Its performance is similar to SIFT in many respects, including robustness to lighting, blur, and perspective distortion. However, it is very sensitive to in-plane rotation. BRIEF grew out of research that uses binary tests to train a set of classification trees [4]. Once trained on a set of 500 or so typical keypoints, the trees can be used to return a signature for any arbitrary keypoint [5]. In a similar manner, we look for the tests least sensitive to orientation...NOTE that PCA and SIFT are computationally intensive. Visual vocabulary methods [21, 27] use offline clustering to find exemplars that are uncorrelated and can be used in matching. These techniques might also be useful in finding uncorrelated binary tests. FAST detector: the intensity threshold between the center pixel and those in a circular ring about the center (e.g. a circular radius of 9). FAST does not produce a measure of cornerness, and it has large responses along edges. We employ a Harris corner measure [11] to order the FAST keypoints. For a target number N of keypoints, we first set the threshold low enough to get more than N keypoints, then order them according to the Harris measure, and pick the top N points. FAST is used on each image in a scaled image pyramid. Orientation: corner orientation, the intensity centroid [22]. The intensity centroid assumes that a corner’s intensity is offset from its center, and this vector may be used to impute an orientation. Rosin defines the moments of a patch as: m_p_q = moments = summation_over_x_and_y( (x^p) * (y^q) * I(x,y) ) where I(x,y) is the pixel intensity. C = the centroid = ( m_1_0/m_0_0, m_0_1/m_0_0) orientation = theta = atan2( m_0_1, m_1_0) --------- The implementation below is adapted from the scipy implementation which has the following copyright:* https://github.com/scikit-image/scikit-image/blob/master/LICENSE.txt -- begin scipy, skimage copyright --- Unless otherwise specified by LICENSE.txt files in individual directories, all code is Copyright (C) 2011, the scikit-image team All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of skimage nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.  IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -- end scipy, skimage copyright --- Note, in some places, scipy functions have been replaced with existing functions in this project in this implementation below. Oriented FAST and rotated BRIEF feature detector and binary descriptor extractor. Have also edited alot of the ordering of logic, but the core content is still adapted from the scipy code. Note: to include color information, consider combining the results of a greyscale ORB with the results of a "C" from LCH colorspace and/or another color transformation that uses a chromaticity transformation to distinguish colors. For the latter, would need to make a separate ORB because the differences in the "H", that is polar theta, would need to use a threshold of 20 degrees or so and a result of binary difference, and would need a correction for wrap around the circular coordinate space, so the keypoint extraction would need to be adjusted for that. The main reason for such consideration is to be able to distinguish between colors whose combinations are the same in greyscale color. NOTE, have chosen to keep the results (which are available publicly via getters) in Lists in which each list index is a scale in the pyramidal decimation to allow the user to recover scale information if wanted. To use the way that scipy does, all results as single lists of variables are available via getAll*getters. Still testing the class, there may be bugs present.Example Use: int nKeyPoints = 200; ORB orb = new ORB(nKeyPoints); orb.overrideToAlsoCreate1stDerivKeypoints(); orb.detectAndExtract(image); // to get the list of keypoint coordinates in row-major, but separated: List TIntList keypoints0 = orb.getAllKeyPoints0(); // rows being first dimension List TIntList keypoints1 = orb.getAllKeyPoints1(); // cols being second dimension // to get the descriptors: List Descriptors descList = orb.getDescriptors(); or Descriptors desc = orb.getAllDescriptors();
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
ORB.DescriptorChoice
static class
ORB.Descriptors
static class
ORB.Pix
protected class
ORB.Resp
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Field Summary
Fields Modifier and Type Field Description protected float
curvatureThresh
protected int
decimationLimit
protected boolean
doCreate1stATrousKeypoints
protected boolean
doCreate1stDerivKeypoints
protected boolean
doCreateCurvatureKeyPoints
protected int
fastN
protected float
fastThreshold
protected float
harrisK
protected TwoDFloatArray[]
harrisResponseImages
protected java.util.List<gnu.trove.list.TFloatList>
harrisResponses
protected GreyscaleImage
img
protected java.util.List<gnu.trove.list.TIntList>
keypoints0List
although there may be multiple color images in the pyramid, there is only one set of coordinates derived for each scale.protected java.util.List<gnu.trove.list.TIntList>
keypoints1List
protected int
nKeypoints
protected int
nPyramidB
protected int[][]
OFAST_MASK
protected int[]
OFAST_UMAX
protected java.util.List<gnu.trove.list.TDoubleList>
orientationsList
protected int[][]
POS0
protected int[][]
POS1
protected TwoDFloatArray[]
pyramidImages
the first dimension of the pyramids is scale and the value is the image as a 2 dimensional row major format float array.protected float[]
scales
protected StructureTensor[]
tensorComponents
protected boolean
useSingleScale
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Constructor Summary
Constructors Constructor Description ORB(GreyscaleImage image, int nKeypoints)
Still testing the class, there may be bugs present.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description protected float[][]
add(float[][] a, float[][] b)
protected void
buildTensors()
static int[][]
calcDescriptorCostMatrix(ORB.Descriptors[] desc1, ORB.Descriptors[] desc2)
calculate a cost matrix composed of the sum of XOR of each descriptor in d1 to d2.static int[][]
calcDescriptorCostMatrix(algorithms.VeryLongBitString[] d1, algorithms.VeryLongBitString[] d2)
calculate a cost matrix composed of the sum of XOR of each descriptor in d1 to d2.gnu.trove.list.TDoubleList
calculateOrientations(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1)
Compute the orientation of corners.static java.lang.Object[]
combine(ORB.Descriptors d1, java.util.List<algorithms.util.PairInt> k1, gnu.trove.list.TDoubleList o1, ORB.Descriptors d2, java.util.List<algorithms.util.PairInt> k2, gnu.trove.list.TDoubleList o2)
combine key-point lists k1 and k2, removing redundancies, then create a combined Descriptors for the combined key-point's descriptors, and a combined orientations list for the same combined key-points.static ORB.Descriptors
combineDescriptors(java.util.List<ORB.Descriptors> list)
get a list of each octave's descriptors as a combined descriptor.static Image
convertToImage(TwoDFloatArray a)
create col major image from row major inputstatic GreyscaleImage
convertToImageGS(TwoDFloatArray a)
create col major image from row major inputprotected float[][]
cornerFast(float[][] img, int n, float threshold)
Extract FAST corners for a given image.static double[][]
cornerHarris(double[][] image)
Compute Harris corner measure response image ([Harris and Stephens, 1988).protected float[][]
cornerHarris(float[][] image, float[][] detA, float[][] traceA)
Compute Harris corner measure response image.protected void
cornerPeaks(float[][] img, int minDistance, gnu.trove.list.TIntList outputKeypoints0, gnu.trove.list.TIntList outputKeypoints1)
https://github.com/scikit-image/scikit-image/blob/d19b60add22b818298c7aefa65fharris0e7c1467ef4d/skimage/feature/corner.py Find corners in corner measure response image.protected void
debugPrint(java.lang.String label, float[][] a)
void
detectAndExtract()
NOTE: still testing, there may be bugs.protected ORB.Descriptors
extractOctaveDescriptor(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1, gnu.trove.list.TDoubleList orientations, float scale)
filter the keypoints, orientations, and responses to remove those close to the border and then create descriptors for the remaining.protected gnu.trove.list.TIntList
filterNearBorder(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1)
filter the keypoints, orientations, and responses to remove those close to the border and then create descriptors for the remaining.ORB.Descriptors
getAllDescriptors()
get a list of each octave's descriptors as a combined descriptor.gnu.trove.list.TFloatList
getAllHarrisResponses()
get a list of each octave's harris response strengths as a combined list.java.util.List<algorithms.util.PairInt>
getAllKeyPoints()
get a list of each octave's keypoint rows as a combined list.gnu.trove.list.TIntList
getAllKeyPoints0()
get a list of each octave's keypoint rows as a combined list.gnu.trove.list.TIntList
getAllKeyPoints1()
get a list of each octave's keypoint cols as a combined list.double[][]
getAllKeyPointsHomogenous()
get a list of all octave's keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis.gnu.trove.list.TDoubleList
getAllOrientations()
get a list of each octave's orientations as a combined list.ORB.DescriptorChoice
getDescrChoice()
java.util.List<ORB.Descriptors>
getDescriptorsList()
get a list of each octave's descriptors.java.util.List<gnu.trove.list.TFloatList>
getHarrisResponseList()
get a list of each octave's harris responses.java.util.List<gnu.trove.list.TIntList>
getKeyPoint0List()
get a list of each octave's keypoint rows in the reference frame of the original full image size.java.util.List<gnu.trove.list.TIntList>
getKeyPoint1List()
get a list of each octave's keypoint cols in the reference frame of the original full image size.java.util.List<algorithms.util.PairInt>
getKeyPointListColMaj(int octave)
get a list of an octave's keypoints in column major format, that is pairint(x=column, y=row).gnu.trove.list.TIntList
getKeyPointListPix(int octave)
get a list of an octave's keypoints in pixel indexes, that is pixIdx = (y * imageWidth) + x.double[][]
getKeyPointsHomogenous(int octave)
get a list of the octave's keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis.java.util.List<gnu.trove.list.TDoubleList>
getOrientationsList()
get a list of each octave's orientations.TwoDFloatArray[]
getPyramidImages()
float[]
getScales()
get a list of each octave's scales.protected float[][]
multiply(float[][] a, float[][] b)
protected void
overrideFastN(int nFast)
void
overrideFastThreshold(float threshold)
default is 0.08f.void
overridePyamidalExtraN(int n)
override the number of divisions of scale to add in between the powers of 2 scalings.void
overrideToAlsoCreate1stDerivKeypoints()
void
overrideToCreateCurvaturePoints()
void
overrideToNotCreateATrousKeypoints()
void
overrideToNotCreateDescriptors()
set option to not create descriptors.void
overrideToUseSingleScale()
void
setDescrChoice(ORB.DescriptorChoice descrChoice)
protected float[][]
subtract(float[][] a, float[][] b)
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Field Detail
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useSingleScale
protected boolean useSingleScale
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OFAST_MASK
protected int[][] OFAST_MASK
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OFAST_UMAX
protected int[] OFAST_UMAX
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POS0
protected int[][] POS0
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POS1
protected int[][] POS1
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fastN
protected int fastN
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fastThreshold
protected float fastThreshold
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harrisK
protected final float harrisK
- See Also:
- Constant Field Values
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nKeypoints
protected final int nKeypoints
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pyramidImages
protected TwoDFloatArray[] pyramidImages
the first dimension of the pyramids is scale and the value is the image as a 2 dimensional row major format float array.
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scales
protected float[] scales
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tensorComponents
protected StructureTensor[] tensorComponents
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harrisResponseImages
protected TwoDFloatArray[] harrisResponseImages
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keypoints0List
protected java.util.List<gnu.trove.list.TIntList> keypoints0List
although there may be multiple color images in the pyramid, there is only one set of coordinates derived for each scale.
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keypoints1List
protected java.util.List<gnu.trove.list.TIntList> keypoints1List
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orientationsList
protected java.util.List<gnu.trove.list.TDoubleList> orientationsList
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harrisResponses
protected java.util.List<gnu.trove.list.TFloatList> harrisResponses
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curvatureThresh
protected float curvatureThresh
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decimationLimit
protected final int decimationLimit
- See Also:
- Constant Field Values
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doCreate1stDerivKeypoints
protected boolean doCreate1stDerivKeypoints
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doCreateCurvatureKeyPoints
protected boolean doCreateCurvatureKeyPoints
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nPyramidB
protected int nPyramidB
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doCreate1stATrousKeypoints
protected boolean doCreate1stATrousKeypoints
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img
protected final GreyscaleImage img
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Constructor Detail
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ORB
public ORB(GreyscaleImage image, int nKeypoints)
Still testing the class, there may be bugs present.- Parameters:
image
- image to calculate keypoints and descriptors for.nKeypoints
- the limit to the number of keypoints per pyramidal octave scale, and the limit to the total combined keypoint list of all octave scales.
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Method Detail
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setDescrChoice
public void setDescrChoice(ORB.DescriptorChoice descrChoice)
- Parameters:
descrChoice
- the descrChoice to set
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overrideToUseSingleScale
public void overrideToUseSingleScale()
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overrideFastN
protected void overrideFastN(int nFast)
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overrideFastThreshold
public void overrideFastThreshold(float threshold)
default is 0.08f. For a low resolution image, may want to use 0.01f.- Parameters:
threshold
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overridePyamidalExtraN
public void overridePyamidalExtraN(int n)
override the number of divisions of scale to add in between the powers of 2 scalings. The default number is 3.- Parameters:
n
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overrideToNotCreateDescriptors
public void overrideToNotCreateDescriptors()
set option to not create descriptors.
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overrideToAlsoCreate1stDerivKeypoints
public void overrideToAlsoCreate1stDerivKeypoints()
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overrideToNotCreateATrousKeypoints
public void overrideToNotCreateATrousKeypoints()
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overrideToCreateCurvaturePoints
public void overrideToCreateCurvaturePoints()
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detectAndExtract
public void detectAndExtract()
NOTE: still testing, there may be bugs. Detect oriented FAST keypoints and extract rBRIEF descriptors. Note that this is faster than first calling `detect` and then `extract`. code is adapted from https://github.com/scikit-image/scikit-image/blob/401c1fd9c7db4b50ae9c4e0a9f4fd7ef1262ea3c/skimage/feature/orb.py with some functions replaced by code in this project.
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buildTensors
protected void buildTensors()
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debugPrint
protected void debugPrint(java.lang.String label, float[][] a)
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multiply
protected float[][] multiply(float[][] a, float[][] b)
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add
protected float[][] add(float[][] a, float[][] b)
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subtract
protected float[][] subtract(float[][] a, float[][] b)
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cornerFast
protected float[][] cornerFast(float[][] img, int n, float threshold)
Extract FAST corners for a given image. code is adapted from : https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/corner.py which has the copyright above in the class level documentation.References ---------- .. [1] Edward Rosten and Tom Drummond "Machine Learning for high-speed corner detection", http://www.edwardrosten.com/work/rosten_2006_machine.pdf .. [2] Wikipedia, "Features from accelerated segment test", https://en.wikipedia.org/wiki/Features_from_accelerated_segment_test
- Parameters:
img
- Input image as 2D array in row-major, C-style ordered arrayn
- Minimum number of consecutive pixels out of 16 pixels on the circle that should all be either brighter or darker w.r.t testpixel. A point c on the circle is darker w.r.t test pixel p if `Ic lessThan Ip - threshold` and brighter if `Ic greaterThan Ip + threshold`. Also stands for the n in `FAST-n` corner detector. (the scipy default is n=12).threshold
- Threshold used in deciding whether the pixels on the circle are brighter, darker or similar w.r.t. the test pixel. Decrease the threshold when more corners are desired and vice-versa. (the scipy default is threshold=0.15)- Returns:
- FAST corner response image.
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cornerPeaks
protected void cornerPeaks(float[][] img, int minDistance, gnu.trove.list.TIntList outputKeypoints0, gnu.trove.list.TIntList outputKeypoints1)
https://github.com/scikit-image/scikit-image/blob/d19b60add22b818298c7aefa65fharris0e7c1467ef4d/skimage/feature/corner.py Find corners in corner measure response image. This differs from `skimage.feature.peak_local_max` in that it suppresses multiple connected peaks with the same accumulator value.- Parameters:
img
-minDistance
-outputKeypoints0
- the output row coordinates of keypointsoutputKeypoints1
- the output col coordinates of keypoints
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calculateOrientations
public gnu.trove.list.TDoubleList calculateOrientations(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1)
Compute the orientation of corners. The orientation of corners is computed using the first order central moment i.e. the center of mass approach. The corner orientation is the angle of the vector from the corner coordinate to the intensity centroid in the local neighborhood around the corner calculated using first order central moment. adapted from from https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/corner_cy.pyx+90 135 | +45 | 180-------- 0 | -135 | -45 -90
References ---------- .. [1] Ethan Rublee, Vincent Rabaud, Kurt Konolige and Gary Bradski "ORB : An efficient alternative to SIFT and SURF" http://www.vision.cs.chubu.ac.jp/CV-R/pdf/Rublee_iccv2011.pdf .. [2] Paul L. Rosin, "Measuring Corner Properties" http://users.cs.cf.ac.uk/Paul.Rosin/corner2.pdf- Parameters:
octaveImage
- Input grayscale image.keypoints0
- keypoint y coords in reference frame of this octave imagekeypoints1
- keypoint x coords in reference frame of this octave iamge- Returns:
- orientations : (N, 1) array Orientations of corners in the range [-pi, pi].
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cornerHarris
protected float[][] cornerHarris(float[][] image, float[][] detA, float[][] traceA)
Compute Harris corner measure response image. This corner detector uses information from the auto-correlation matrix A (a.k.a. he structure tensor): A = [(imx**2) (imx*imy)] = [Axx Axy] [(imx*imy) (imy**2)] [Axy Ayy] Where imx and imy are first derivatives, averaged with a gaussian filter. The corner measure is then defined as:: det(A) - k * trace(A)**2 adapted from from https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/corner.py NOTE: made the change for case where entire detA is 0 to use +k*Trace^2;- Parameters:
image
-detA
-traceA
-- Returns:
- the harris corner response image of same size as image, and composed of response = detA - k * traceA ** 2 built from the 2nd derivatives of image intensity.
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cornerHarris
public static double[][] cornerHarris(double[][] image)
Compute Harris corner measure response image ([Harris and Stephens, 1988). This corner detector uses information from the auto-correlation matrix A (a.k.a. the structure tensor):A = [(imx**2) (imx*imy)] = [Axx Axy] [(imx*imy) (imy**2)] [Axy Ayy]
Where imx and imy are first derivatives, averaged with a gaussian filter. The corner measure is then defined as:: MASKS eqn (11.1) det(A) + k * trace(A)**2 originally adapted from https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/corner.py- Parameters:
image
-- Returns:
- the harris corner response image of same size as image, and composed of response = detA + k * traceA ** 2 built from the 2nd derivatives of image intensity.
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filterNearBorder
protected gnu.trove.list.TIntList filterNearBorder(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1)
filter the keypoints, orientations, and responses to remove those close to the border and then create descriptors for the remaining.- Parameters:
octaveImage
-keypoints0
-keypoints1
-- Returns:
- the encapsulated descriptors and mask
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extractOctaveDescriptor
protected ORB.Descriptors extractOctaveDescriptor(float[][] octaveImage, gnu.trove.list.TIntList keypoints0, gnu.trove.list.TIntList keypoints1, gnu.trove.list.TDoubleList orientations, float scale)
filter the keypoints, orientations, and responses to remove those close to the border and then create descriptors for the remaining.- Parameters:
octaveImage
-keypoints0
- keypoint y coordinates in the reference frame of the largest pyramid imagekeypoints1
- keypoint x coordinates in the reference frame of the largest pyramid imageorientations
-scale
-- Returns:
- the encapsulated descriptors and mask
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getDescriptorsList
public java.util.List<ORB.Descriptors> getDescriptorsList()
get a list of each octave's descriptors. NOTE that the list is not copied so do not modify. The coordinates of the descriptors can be found in keyPointsList, but with twice the spacing because that stores row and col in same list.- Returns:
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getAllDescriptors
public ORB.Descriptors getAllDescriptors()
get a list of each octave's descriptors as a combined descriptor. The coordinates of the descriptors can be found in getAllKeypoints, but with twice the spacing because that stores row and col in same list.- Returns:
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combineDescriptors
public static ORB.Descriptors combineDescriptors(java.util.List<ORB.Descriptors> list)
get a list of each octave's descriptors as a combined descriptor. The coordinates of the descriptors can be found in getAllKeypoints, but with twice the spacing because that stores row and col in same list.- Returns:
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combine
public static java.lang.Object[] combine(ORB.Descriptors d1, java.util.List<algorithms.util.PairInt> k1, gnu.trove.list.TDoubleList o1, ORB.Descriptors d2, java.util.List<algorithms.util.PairInt> k2, gnu.trove.list.TDoubleList o2)
combine key-point lists k1 and k2, removing redundancies, then create a combined Descriptors for the combined key-point's descriptors, and a combined orientations list for the same combined key-points.- Parameters:
d1
- descriptors from dataset 1k1
- key-points from dataset 1o1
- orientations from dataset 1d2
- descriptors from dataset 2k2
- key-points from dataset 2o2
- orientations from dataset 2- Returns:
- a 3-dimensional array holding the combined Descriptors in the first element, the combined key-points in the second element, and the combined orientations in the third element. i.e. new Object[]{combinedDescriptors, combinedKeyPoints} with
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getAllKeyPoints0
public gnu.trove.list.TIntList getAllKeyPoints0()
get a list of each octave's keypoint rows as a combined list. The list contains coordinates which have already been scaled to the full image reference frame. These are the row coordinates of key-points. (The column coordinates are in keypoints1).- Returns:
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getKeyPointsHomogenous
public double[][] getKeyPointsHomogenous(int octave)
get a list of the octave's keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis. All coordinates are with respect to the largest image frame, scales[0], which is also called the first octave.- Returns:
- keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis.
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getAllKeyPointsHomogenous
public double[][] getAllKeyPointsHomogenous()
get a list of all octave's keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis. All coordinates are with respect to the largest image frame, scales[0], which is also called the first octave.- Returns:
- keypoints in format [3 X nKeypoints] where row 0 are the column (== x-axis) indexes, row 1 are the row (== y-axis) indexes, and row 2 are all 1's for the homogeneous coordinate z-axis.
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getAllKeyPoints1
public gnu.trove.list.TIntList getAllKeyPoints1()
get a list of each octave's keypoint cols as a combined list. The list contains coordinates which have already been scaled to the full image reference frame. These are the column coordinates of key-points. (The row coordinates are in keypoints0).- Returns:
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getAllKeyPoints
public java.util.List<algorithms.util.PairInt> getAllKeyPoints()
get a list of each octave's keypoint rows as a combined list. The list contains coordinates which have already been scaled to the full image reference frame and are in column major format.- Returns:
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getAllOrientations
public gnu.trove.list.TDoubleList getAllOrientations()
get a list of each octave's orientations as a combined list. The corresponding coordinates can be obtained with getAllKeyPoints();- Returns:
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getAllHarrisResponses
public gnu.trove.list.TFloatList getAllHarrisResponses()
get a list of each octave's harris response strengths as a combined list. The corresponding coordinates can be obtained with getAllKeyPoints();- Returns:
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getKeyPointListColMaj
public java.util.List<algorithms.util.PairInt> getKeyPointListColMaj(int octave)
get a list of an octave's keypoints in column major format, that is pairint(x=column, y=row).- Returns:
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getKeyPointListPix
public gnu.trove.list.TIntList getKeyPointListPix(int octave)
get a list of an octave's keypoints in pixel indexes, that is pixIdx = (y * imageWidth) + x.- Returns:
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getKeyPoint0List
public java.util.List<gnu.trove.list.TIntList> getKeyPoint0List()
get a list of each octave's keypoint rows in the reference frame of the original full image size. NOTE that the list is not copied so do not modify.- Returns:
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getKeyPoint1List
public java.util.List<gnu.trove.list.TIntList> getKeyPoint1List()
get a list of each octave's keypoint cols in the reference frame of the original full image size. NOTE that the list is not copied so do not modify.- Returns:
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getOrientationsList
public java.util.List<gnu.trove.list.TDoubleList> getOrientationsList()
get a list of each octave's orientations. NOTE that the list is not copied so do not modify. The coordinates of the descriptors can be found in keyPointsList, but with twice the spacing because that stores row and col in same list.- Returns:
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getScales
public float[] getScales()
get a list of each octave's scales. NOTE that the list is not copied so do not modify.- Returns:
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getHarrisResponseList
public java.util.List<gnu.trove.list.TFloatList> getHarrisResponseList()
get a list of each octave's harris responses. NOTE that the list is not copied so do not modify. The coordinates of the descriptors can be found in keyPointsList, but with twice the spacing because that stores row and col in same list.- Returns:
-
calcDescriptorCostMatrix
public static int[][] calcDescriptorCostMatrix(algorithms.VeryLongBitString[] d1, algorithms.VeryLongBitString[] d2)
calculate a cost matrix composed of the sum of XOR of each descriptor in d1 to d2.- Parameters:
d1
- array of bit vectors wherein 256 bits of the integer are usedd2
- array of bit vectors wherein 256 bits of the integer are used- Returns:
- matches two dimensional int array of indexes in d1 and d2 which are matched.
-
calcDescriptorCostMatrix
public static int[][] calcDescriptorCostMatrix(ORB.Descriptors[] desc1, ORB.Descriptors[] desc2)
calculate a cost matrix composed of the sum of XOR of each descriptor in d1 to d2.- Parameters:
desc1
- two dimensional array with first being keypoint indexes and second dimension being descriptor.desc2
- two dimensional array with first being keypoint indexes and second dimension being descriptor.- Returns:
- matches two dimensional int array of indexes in d1 and d2 which are matched.
-
convertToImage
public static Image convertToImage(TwoDFloatArray a)
create col major image from row major input- Parameters:
a
-- Returns:
-
convertToImageGS
public static GreyscaleImage convertToImageGS(TwoDFloatArray a)
create col major image from row major input- Parameters:
a
-- Returns:
-
getPyramidImages
public TwoDFloatArray[] getPyramidImages()
- Returns:
- the pyramidImages
-
getDescrChoice
public ORB.DescriptorChoice getDescrChoice()
- Returns:
- the descrChoice
-
-


The Game Loop
by Peter N. Wood
Previous Step 1: Canvas Basics
Next Step 3: Control Schemes
Last Updated: 8 Jan, 2018
by Peter N. Wood
Previous Step 1: Canvas Basics
Next Step 3: Control Schemes
Last Updated: 8 Jan, 2018
At the core of any video game code is the game loop. Any game with movement needs to update its physics at a regular interval, and all games need to draw to the screen at the same rate that the monitor refreshes it's display. It's like a film reel, in that we draw still images in quick succession so that they appear to move. Unlike a film reel, we must construct each still image the moment before we draw it to the screen, or “render” it.
Different monitors have different refresh rates, which is the number of times per second that the monitor refreshes all its pixels with whatever colors they're supposed to be at that moment. This is a major problem in game design, because different monitors have different refresh rates, and that rate doesn't always stay constant. Luckily we have good solutions for this problem.
For JavaScript, we have window.requestAnimationFrame() to help us. This function takes a callback to execute once the next frame is ready to be drawn. This way, we don't run our rendering code so infrequently that the game looks choppy, and we don't waste processing power doing it more often than we need to.
function frameStep(timestamp) { if (!start) { var start = timestamp; } if (timestamp - start < 2000) { window.requestAnimationFrame(frameStep); } } window.requestAnimationFrame(frameStep);
In order to keep the game loop going, we need to be sure to call requestAnimationFrame at the end of our callback function. It also helps to pause rendering if the user leaves the current browser tab; the recommended method is to only call requestAnimationFrame if less than two seconds (2000 milliseconds) have passed since the last frame. For a more detailed explanation of this function see the Mozilla documentation here.
This callback is where we want to put all of our code for rendering things in the game. Here's a simple example, with a ball bouncing around the edges of the canvas. First we define a few constants and an object to keep track of our ball's position and velocity.
To update the ball's position, we just add the x velocity to the x position, and the y velocity to the y position. Then, we check whether the ball has collided with the edges of the canvas; the x and y coordinates of the ball tell us it's center, so we have to add the ball's size to each coordinate to check whether it's hit an edge. If the ball hits an edge, we can make it bounce by inverting the velocity in that direction; E.G. if x velocity is 1, we change it to -1.
After we've updated the ball's position, we draw a circle centered on its coordinates.
// Canvas width and height const CANVAS_W = 800; const CANVAS_H = 450; // Size of the ball in pixels const BALL_SIZE = 16; // Ball with x/y coordinates defining the center, and x/y velocity var ball = { x: 2 * BALL_SIZE, y: 2 * BALL_SIZE, xVel: 1, yVel: 1 }; function updateBall() { // Move the ball ball.x += ball.xVel; ball.y += ball.yVel; // Check for collision with canvas bounds if (ball.x + BALL_SIZE > CANVAS_W) { ball.x = CANVAS_W - BALL_SIZE; ball.xVel = -1; } else if (ball.x - BALL_SIZE < 0) { ball.x = BALL_SIZE; ball.xVel = 1; } if (ball.y + BALL_SIZE > CANVAS_H) { ball.y = CANVAS_H - BALL_SIZE; ball.yVel = -1; } else if (ball.y - BALL_SIZE < 0) { ball.y = BALL_SIZE; ball.yVel = 1; } } // Render the ball function renderBall(context) { context.beginPath(); context.arc(ball.x, ball.y, BALL_SIZE, 0, 6.28); context.fillStyle = '#3AF'; context.fill(); context.closePath(); } var context = document.getElementById('canvas').getContext('2d'); function frameStep(timestamp) { // Update first updateBall(); // Then render renderBall(context); if (!start) { var start = timestamp; } if (timestamp - start < 2000) { window.requestAnimationFrame(frameStep); } } window.requestAnimationFrame(frameStep);
You'll notice we get this paintbrush or smear effect, as if the ball is leaving a trail behind it. Each time we draw the ball, we're drawing over the existing image, without erasing what we drew before. Maybe you've seen glitches in 3D games where the player goes outside of the level boundaries, and everything looks like an overexposed timelapse. The same thing is going on there. Normally, everything in the level would get rendered and cover the last frame's image, but there's nothing to render beyond the level bounds. Erasing the entire screen is a waste of processing power since the player isn't supposed to go out of bounds.
Usually, a game will have a background to render before everything else, so we can just render that first and avoid any issues. If we just need a simple background color or image, we could use CSS styles to apply that to the canvas element, and erase the canvas every frame. We could even take that a step further and only erase the area of canvas where the ball was last frame: a common technique in older video games when limited memory and processing power was a big concern.
Let's keep things simple and fill the canvas with a solid color background.
function frameStep(timestamp) { // Update first updateBall(); // Render the background first context.fillStyle = '#30A'; context.fillRect(0, 0, CANVAS_W, CANVAS_H); // Then render renderBall(context); if (!start) { var start = timestamp; } if (timestamp - start < 2000) { window.requestAnimationFrame(frameStep); } }
Now that looks pretty good, but we still have a problem: our ball's logic only updates with the framerate. Depending on what monitor you're using, the ball will move faster or slower, and if the framerate isn't totally steady the game will stutter. In a bigger, more processor-intensive game, you might see the game speed change wildly with a setup like this, as the platform struggles to execute the game loop every frame. It's common to see mobile and console games designed this way, because the developers only have to worry about one platform with one set of specifications; it only becomes a problem if they want to port the game to PC.
Luckily, there's a simple solution for this: completely dissociate your rendering logic from your physics logic. We can keep track of how many milliseconds have passed since the last frame was rendered, and execute our physics updates an appropriate number of times. It’s tempting to use setInterval(), so that we get a constant update rate, but in the long run this is not reliable.
First, we need to decide how often we want our updates to happen; if it’s too infrequent, the game will stutter, but too often and it’ll tax the processor and slow everything down. Let’s assume the maximum framerate our game will encounter is 144hz, at which a frame gets drawn roughly every seven milliseconds (ms). We ought to update at least once per frame, so let’s go with five since it's easy to work with mathematically; that’ll be our Delta Time (Δt), meaning change in time.
Then, every frame we'll accumulate the number of milliseconds since the last frame, and subtract our Δt every time we run an update. At 60hz (the most common case), we’ll accumulate 16 2/3 milliseconds every frame on average (technically, the fraction carries over to the next frame, so we’d see a pattern of 16, 17, 17); so if we run our updates every five milliseconds, we’ll update three times the first frame, with 1 2/3 milliseconds left over. After a few more frames, those milliseconds will add up to another update, and in the long run the game will run smoothly.
const DELTA_TIME = 5; var accumulator = DELTA_TIME; // Set the initial value in milliseconds var lastTimestamp = Date.now(); function frameStep(timestamp) { var now = Date.now(); // Add the number of milliseconds since the last frame to the accumulator accumulator += now - lastTimestamp; // Don't forget to update this for the next frame lastTimestamp = now; // Update once for every Δt since the last frame was rendered while (accumulator >= DELTA_TIME) { updateBall(ball); accumulator -= DELTA_TIME; } // The rest of this function is the same... }
Now that we have the basics of the game loop worked out, and our updates are decoupled from the framerate, we can add some interactivity; an animated image is nice, but we can't call it a game if it plays itself, can we? Next up: keyboard, mouse, and touch controls.
— Peter N. Wood
Previous Step 1: Canvas Basics
Next Step 3: Control Schemes


The project demonstrate how to build a simple CRUD application with Play Scala.
Slick has been chosen as a database access layer.


All Classes
ChatClientReceiver
ChatClientSender
ChatMessage
ChatRequest
ChatResponse
ChatRoom
ChatServer
ChatServerServant
ChatUser


The Edit Scheduled Item dialog box allow you to edit existing, or set up new scheduled items.
This is a Hot Spot image. Move your mouse pointer over the image
and when the mouse pointer changes to the shape of a hand click
the left mouse button once for extra help.
Choose the action that you wish to schedule from the Run This Action list.
You can run this chosen action Once at a specified time, At a specified time interval, Hourly, Daily, Weekly, Monthly and When Ameol is started.
Depending on the option that you choose from the Run This Event group, you will have to specify additional timing information in the When text box(es). Also, if you choose the Check Folder or Purge Folder actions, you will need to specify a folder from the Folder list.
When you have finished setting up your scheduled item, click the OK button to apply it.


|
Dynatrace OneAgent SDK for C/C++
<IP_ADDRESS>
|
Functions | |
| onesdk_result_t | onesdk_ex_api_enable_tracer_ext (void) |
| Initializes the "tracer extension" extension API. The SDK must be initialized before using this function. More... | |
| onesdk_bool_t | onesdk_ex_tracer_start_2 (onesdk_tracer_handle_t tracer_handle, onesdk_tracer_handle_t parent_tracer_handle, onesdk_int64_t start_time_micro) |
| Starts a tracer with the given parent. More... | |
| void | onesdk_ex_tracer_end_timed (onesdk_tracer_handle_t tracer_handle, onesdk_int64_t end_time_micro) |
| Ends a tracer with the given timestamp. More... | |
| onesdk_result_t onesdk_ex_api_enable_tracer_ext | ( | void | ) |
Initializes the "tracer extension" extension API. The SDK must be initialized before using this function.
| void onesdk_ex_tracer_end_timed | ( | onesdk_tracer_handle_t | tracer_handle, |
| onesdk_int64_t | end_time_micro | ||
| ) |
Ends a tracer with the given timestamp.
Like onesdk_tracer_end but instead of using the current time, uses the given timestamp.
See onesdk_ex_tracer_start_2 for the timestamp semantic.
| onesdk_bool_t onesdk_ex_tracer_start_2 | ( | onesdk_tracer_handle_t | tracer_handle, |
| onesdk_tracer_handle_t | parent_tracer_handle, | ||
| onesdk_int64_t | start_time_micro | ||
| ) |
Starts a tracer with the given parent.
| tracer_handle | A valid tracer handle. |
| parent_tracer_handle | A valid handle to a started tracer. The parent must be started. If it has started children, the tracer will be attached to the most recently started (i.e. active) child. |
If ONESDK_EX_START_WITHOUT_PARENT is specified a new path will be started with this tracer as root, unless an incoming tag is also set.
If ONESDK_INVALID_HANDLE is specified, the tracer will be started non-capturing.
| start_time_micro | Start timestamp of the tracer in microseconds since 1970-01-01 ("Unix Time"). Use ONESDK_EX_CURRENT_TIME to use the current time. BEWARE: Timestamps should not be in the future or more than fifteen seconds in the past. Zero or negative timestamps are reserved for future use and must not be used. |
Starts the specified tracer. This will capture all entry fields of the tracer and start the time measurement.
The tracer will be detached (i.e. not attached to the current thread or any other context).
Use onesdk_tracer_start to start a tracer witht the currently active tracer as parent and attached to the context.


Shows a list of the communication ports set up on your computer. Select one of these for use with your modem. Make sure that the port that you have selected is not being used by another piece of equipment.


Self-identifying is mostly about being polite, although MFL has a program to give verified clients more bandwidth! See: https://www03.myfantasyleague.com/2020/csetup?C=APICLI
.fn_set_useragent(user_agent)


Welcome to Satan's Bank!
Give me your money!
Sign up for a Bank Account
Create bank account
Deposit or Withdraw
's Money
Money magic!
's bank account balance:
$


The RMQ directive causes the location counter to be advanced by the value of
the expression in the operand field multiplied by 2. This directive reserves a
block of memory the length of which is equal to the value of the expression
multiplied by 2.The block of memory reserved is not initialized to any given
value. The expression cannot contain any forward references or undefined
symbols. This directive is commonly used to reserve a scratchpad or table area
for later use.


ABS(3) - [NUMERIC] Absolute value
result = abs(a)
elemental TYPE(kind=KIND) function abs(a)TYPE(kind=KIND),intent(in) :: a
o A may be any real, integer, or complex value. o If A is complex the returned value will be a real with the same kind as A. Otherwise the returned type and kind is the same as for A.
ABS(3) computes the absolute value of numeric argument A.
In mathematics, the absolute value or modulus of a real number X, denoted |X|, is the magnitude of X without regard to its sign.
The absolute value of a number may be thought of as its distance from zero.
If A is of type integer or real, the value of the result is the absolute value |A| and of the same type and kind as the input argument.
If A is complex with value (X, Y), the result is a real equal to a processor-dependent approximation to
sqrt(x**2 + y**2)computed without undue overflow or underflow (that means the computation of the result can overflow the allowed magnitude of the real value returned, and that very small values can produce underflows if they are squared while calculating the returned value, for example).
That is, if you think of non-complex values as being complex values on the x-axis and complex values as being x-y points <x%re,x%im> the result of ABS(3) is the (positive) magnitude of the distance of the value from the origin.
Sample program:
program demo_abs implicit none integer,parameter :: dp=kind(0.0d0)Results:integer :: i = -1 real :: x = -1.0 complex :: z = (-3.0,-4.0) doubleprecision :: rr = -45.78_dp
character(len=*),parameter :: & ! some formats frmt = (1x,a15,1x," In: ",g0, T51," Out: ",g0), & frmtc = (1x,a15,1x," In: (",g0,",",g0,")",T51," Out: ",g0), & g = (*(g0,1x))
! basic usage ! any integer, real, or complex type write(*, frmt) integer , i, abs(i) write(*, frmt) real , x, abs(x) write(*, frmt) doubleprecision , rr, abs(rr) write(*, frmtc) complex , z, abs(z)
! You can take the absolute value of any value whose positive value ! is representable with the same type and kind. write(*, *) abs range test : , abs(huge(0)), abs(-huge(0)) write(*, *) abs range test : , abs(huge(0.0)), abs(-huge(0.0)) write(*, *) abs range test : , abs(tiny(0.0)), abs(-tiny(0.0)) ! A dusty corner is that abs(-huge(0)-1) of an integer would be ! a representable negative value on most machines but result in a ! positive value out of range.
! elemental write(*, g) abs is elemental:, abs([20, 0, -1, -3, 100])
! COMPLEX input produces REAL output write(*, g) complex input produces real output, & & abs(cmplx(30.0_dp,40.0_dp,kind=dp)) ! dusty corner: "kind=dp" is required or the value returned by ! CMPLX() is a default real instead of double precision
! the returned value for complex input can be thought of as the ! distance from the origin <0,0> write(*, g) distance of (, z, ) from zero is, abs( z ) write(*, g) so beware of overflow with complex values !write(*, g) abs(cmplx( huge(0.0), huge(0.0) )) write(*, g) because the biggest default real is,huge(0.0)
end program demo_abs
integer In: -1 Out: 1 real In: -1.000000 Out: 1.000000 doubleprecision In: -45.78000000000000 Out: 45.78000000000000 complex In: (-3.000000,-4.000000) Out: 5.000000 abs range test :<PHONE_NUMBER><PHONE_NUMBER> abs range test : 3.4028235E+38 3.4028235E+38 abs range test : 1.1754944E-38 1.1754944E-38 abs is elemental: 20 0 1 3 100 complex input produces real output 50.00000000000000 distance of ( -3.000000 -4.000000 ) from zero is 5.000000 so beware of overflow with complex values Inf because the biggest default real is .3402823E+39
FORTRAN 77
SIGN(3)
fortran-lang intrinsic descriptions (license: MIT) @urbanjost
| Nemo Release 3.1 | abs (3) | July 22, 2023 |


EMUI 10 beta now available for 5 more Huawei phones - Gizchina.com
by Efe UdinEMUI 10 beta now available for 5 more Huawei phones
3.7 (73.33%) 3 votes
The last we heard about EMUI 10, Huawei will deploy the update to Huawei P30, P30 Pro and the range of Mate 20 in the course of November 2019. The update will also land on the latest smartphones of the subsidiary Honor, the Honor 20 and 20 Pro. These flagship devices are already getting the stable version. However, a host of other “smaller” devices are currently getting the beta update of EMUI 10. This update is now available for Huawei nova 4e, Maimang 8, Maimang 7, Huawei Enjoy 9S and Honor 20i.
The upgrade path is: open the mobile phone [Flour Club] App – [Forum] – [All Editions] – [EMUI Zone] – [Upgrade Early Adoption] sign up to participate.
It is important to note that before upgrading to the beta version, please backup all your data. In addition, confirm that the backup content is complete and valid. Some old third-party applications are not compatible with Android 10 thus users should try to update to the latest version of EMUI before upgrading to the current beta version. Furthermore, users must ensure that the phone has more than 6GB of internal storage. Also, ensure that the phone has no ROOT.
It should be noted that the public beta registration only supports the matching model in the mobile phone pollen club App registration.


TODO: Update UI and add Customers list here
-
NB: Customer A/c and Customer A/c Balance(From Accounts table) are required
for every Customer. Update the API accordingly to return the expected data.
-
NB: Create a reusable search component to search a customer by Customer Id)
- Display the search results below
- Add pagination for customers data
| Customer Id |
Account Id |
FirstName |
LastName |
Balance |
| {{ tran.customerId }} |
{{ tran.accountNo }} |
{{ tran.firstName }} |
{{ tran.lastName }} |
{{ tran.balance }} |


|
Ultimata 2
0.2
|
Public Member Functions | |
| Timer () | |
| bool | isOn () const |
| bool | isPaused () const |
| int | getTicks () const |
| void | start () |
| void | pause () |
| void | stop () |
| void | reset () |
| Timer::Timer | ( | ) |
Constructor
| int Timer::getTicks | ( | ) | const |
| bool Timer::isOn | ( | ) | const |
Determines whether the timer is activated.
| bool Timer::isPaused | ( | ) | const |
Determines whether the timer is paused.
| void Timer::pause | ( | ) |
Pauses the timer.
| void Timer::reset | ( | ) |
Resets the timer but does not stop or unpause it.
| void Timer::start | ( | ) |
Starts the timer or unpauses it if it is paused.
| void Timer::stop | ( | ) |
Stops the timer.


%NAME%
%JOBTITLE%
e:
%EMAIL%
w:
%WEBSITE%
m: %PHONE%
Personal Profile
%PROFILE%
Work Experience
%JOBS%
Key Skills
%SKILLS%
Education
%EDUCATIONS%


Clear Customs and Immigration at Abidjan.
No further detailed information available.
Last updated November 2015.
All visitors need a passport valid for at least 6 months beyond their intended stay.
No visas are required for a stay up to three months for nationals of the ECWA (Economic Community of West African States) i.e. Cape Verde, Central African Rep, Chad, Congo, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Morocco, Niger, Nigeria, Senegal, Seychelles, Sierra Leone, Togo & Tunisia.
All other nationals require a visa.
There are Ivorian representatives in Paris, Dakar, Rabat, Algiers and Tunis.
Last updated November 2015.
Firearms must be declared.
Last updated November 2015.
November 2015: The outbreak of the Ebola virus disease (EVD) in West Africa is now under control, but it is possible that there will continue to be more extensive health checks than previously.
Find out more at Ebola World Health Organization Fact Sheet.
Vaccination against yellow fever is compulsory; cholera vaccinations and malaria prophylaxis are recommended.
Malaria is endemic
Photographing military or government installations is forbidden.
Dress is conservative for men and women. Shorts, tight clothing and strapless tops are frowned upon anywhere except on the beach.
Religions have a strong influence on life in Côte d’Ivoire. You should respect local religious customs and traditions at all times and be aware of your actions to ensure that they do not cause offence. (U.K. FO advice).
Animals must be declared to Customs


Construction of stadium for 2020 Tokyo Olympics completed at cost of ¥157 bil
TOKYO — Construction work has been completed at Tokyo's National Stadium, set to be the centerpiece of next year's Olympic Games, the site's owners said on Tuesday.
The Japan Sports Council said the final work had been completed on Thursday with just the final quality and safety checks remaining before the stadium opens next month.
It will be officially unveiled on Dec 21, with the Emperor's Cup soccer final being the first sporting event to be held there on New Year's Day.
Completed at a cost of about 157 billion yen ($1.25 billion), the stadium, which can accommodate 60,000, will also host the athletics and soccer events during the Games.
Construction started in December 2016, about 14 months later than planned, after the original design was scrapped because of a public outcry over spiraling costs.
The delay meant the stadium could not host matches of the Rugby World Cup, as originally planned.
The National Stadium is one of eight new venues to be used at the Tokyo Games. All of them are either complete or on schedule to be finished before the event.
The Tokyo Olympics run from July 24 to Aug 9.
© Thomson Reuters 2019.


--- ---
The pattern to compile into a matcher.
The ParamTypes registry
A configuration object
caseInsensitive
- true
if URL matching should be case insensitive, otherwise false
, the default value (for backward compatibility) is false
.strict
- false
if matching against a URL with a trailing slash should be treated as equivalent to a URL without a trailing slash, the default value is true
.A configuration object
caseInsensitive
- true
if URL matching should be case insensitive, otherwise false
, the default value (for backward compatibility) is false
.strict
- false
if matching against a URL with a trailing slash should be treated as equivalent to a URL without a trailing slash, the default value is true
.The pattern that was passed into the constructor
Creates a new concatenated UrlMatcher
Creates a new concatenated UrlMatcher
Builds a new UrlMatcher by appending another UrlMatcher to this one.
A UrlMatcher
instance to append as a child of the current UrlMatcher
.
Tests the specified url/path against this matcher.
Tests the specified url/path against this matcher.
Tests if the given url matches this matcher's pattern, and returns an object containing the captured parameter values. Returns null if the path does not match.
The returned object contains the values
of any search parameters that are mentioned in the pattern, but their value may be null if
they are not present in search
. This means that search parameters are always treated
as optional.
new UrlMatcher('/user/{id}?q&r').exec('/user/bob', {
x: '1', q: 'hello'
});
// returns { id: 'bob', q: 'hello', r: null }
The URL path to match, e.g. $location.path()
.
URL search parameters, e.g. $location.search()
.
URL hash e.g. $location.hash()
.
The captured parameter values.
Given a set of parameter values, creates a URL from this UrlMatcher.
Given a set of parameter values, creates a URL from this UrlMatcher.
Creates a URL that matches this pattern by substituting the specified values for the path and search parameters.
new UrlMatcher('/user/{id}?q').format({ id:'bob', q:'yes' });
// returns '/user/bob?q=yes'
the values to substitute for the parameters in this pattern.
the formatted URL (path and optionally search part).
Returns the input pattern string
Returns the input pattern string
Validates the input parameter values against this UrlMatcher
Validates the input parameter values against this UrlMatcher
Checks an object hash of parameters to validate their correctness according to the parameter
types of this UrlMatcher
.
The object hash of parameters to validate.
Returns true
if params
validates, otherwise false
.
Compare two UrlMatchers
Compare two UrlMatchers
This comparison function converts a UrlMatcher into static and dynamic path segments. Each static path segment is a static string between a path separator (slash character). Each dynamic segment is a path parameter.
The comparison function sorts static segments before dynamic ones.
Generated using TypeDoc
Matches URLs against patterns.
Matches URLs against patterns and extracts named parameters from the path or the search part of the URL.
A URL pattern consists of a path pattern, optionally followed by '?' and a list of search (query) parameters. Multiple search parameter names are separated by '&'. Search parameters do not influence whether or not a URL is matched, but their values are passed through into the matched parameters returned by UrlMatcher.exec.
Path parameters are defined using curly brace placeholders (
/somepath/{param}
) or colon placeholders (/somePath/:param
).A parameter RegExp may be defined for a param after a colon (
/somePath/{param:[a-zA-Z0-9]+}
) in a curly brace placeholder. The regexp must match for the url to be matched. Should the regexp itself contain curly braces, they must be in matched pairs or escaped with a backslash.Note: a RegExp parameter will encode its value using either ParamTypes.path or ParamTypes.query.
Custom parameter types may also be specified after a colon (
/somePath/{param:int}
) in curly brace parameters. See UrlMatcherFactory.type for more information.Catch-all parameters are defined using an asterisk placeholder (
/somepath/*catchallparam
). A catch-all * parameter value will contain the remainder of the URL.Parameter names may contain only word characters (latin letters, digits, and underscore) and must be unique within the pattern (across both path and search parameters). A path parameter matches any number of characters other than '/'. For catch-all placeholders the path parameter matches any number of characters.
Examples:
'/hello/'
- Matches only if the path is exactly '/hello/'. There is no special treatment for trailing slashes, and patterns have to match the entire path, not just a prefix.'/user/:id'
- Matches '/user/bob' or '/user/1234!!!' or even '/user/' but not '/user' or '/user/bob/details'. The second path segment will be captured as the parameter 'id'.'/user/{id}'
- Same as the previous example, but using curly brace syntax.'/user/{id:[^/]*}'
- Same as the previous example.'/user/{id:[0-9a-fA-F]{1,8}}'
- Similar to the previous example, but only matches if the id parameter consists of 1 to 8 hex digits.'/files/{path:.*}'
- Matches any URL starting with '/files/' and captures the rest of the path into the parameter 'path'.'/files/*path'
- ditto.'/calendar/{start:date}'
- Matches "/calendar/2014-11-12" (because the pattern defined in the built-indate
ParamType matches2014-11-12
) and provides a Date object in $stateParams.start


Qt Gamepad
Qt Gamepad is an add-on library that enables Qt applications to support the use of gamepad hardware and in some cases remote control equipment. The module provides both QML and C++ interfaces. The primary target audience are embedded devices with fullscreen user interfaces, and mobile applications targeting TV-like form factors.
The currently supported platforms are:
- Windows (Win32 desktop, via XInput 1.3 & 1.4)
- Linux (evdev)
- Linux (SDL2)
- Android
- macOS, iOS, tvOS (including the tvOS remote)
This module provides classes that can:
- Read input events from game controllers (Button and Axis events),
- expose these events both to C++ and Qt Quick (QML),
- provide basic gamepad layout configurability, and
- provide optional key and mouse event generation upon gamepad button presses.
Note: The API is designed with XBox and similar controllers in mind. Joysticks are not in scope for this module. A number of third-party gamepads may be supported as well, however, some of these may need custom configuration steps in order to map the button/trigger codes the device or driver in question provides onto what QtGamepad expects. The can be done by the configureButtons example that can also save the generated layout persistently for use by other applications.
Getting Started
Before you start using the APIs provided by this module, ensure that the gamepad is detected by your development environment.
Linux
On standard Linux distributions such as Ubuntu, gamepads such as XBox or PlayStation controllers are detected out-of-the-box. To check if the gamepad is detected, grep
the dmesg
logs using:
dmesg | grep "<gamepad-make>"
If you do not see the entries for the gamepad you are using, check if the joystick
package is installed. If not, install the package and grep
the dmesg
logs again.
It is strongly recommended to verify that the gamepad's input device is present, and is sending events, via the lsinput
and evtest
utilities.
PlayStation controllers will likely need the help of an additional tool like xboxdrv. Once installed, and having a PS3 controller connected via USB, the following will ensure correct operation with QtGamepad:
sudo xboxdrv --detach-kernel-driver --mimic-xpad -s
Qt Gamepad uses a plugin-based, multi-backend architecture. This means that on some platforms, like Linux, there are multiple backends available. In case of Linux, the choices are:
evdev
- a backend reading events directly from the evdev input devicesdl2
- a backend using the Gamepad module of SDL2. This plugin is only built when SDL2 is present at build time, and therefore will typically be missing from the pre-built Qt packages. This backend likely has broader support for various hardware, at the expense of an additional third-party dependency.
To force a given backend, set the QT_GAMEPAD
environment variable to the name of the desired backend.
The availability of gamepad devices is monitored via libudev
, assuming Qt was built with libudev support enabled. This means that connecting wired gamepads or wireless dongles is possible also while an application is running.
Note: wireless dongles may report one or more input devices even when no actual controllers have been connected to them. Qt Gamepad will interpret this as having connected gamepads present.
With the evdev
backend, to explicitly specify the input device to use, set the environment variable QT_GAMEPAD_DEVICE
to the desired /dev/input/event* node. This should not be needed normally, but can be useful in case multiple gamepads are connected and only one of them is interesting to the application.
Windows
The Windows Plug-n-Play service automatically installs the necessary drivers when the gamepad is connected through a USB port for the first time. Once the drivers are installed, select Control Panel > Device and Printers and check if the gamepad is listed under the Devices section.
To test whether gamepad input is detected, select Gamepad Controller Settings from the context menu, select Properties > Test, and start testing. You can also run the quickGamepad example to test.
Android
The Android backend uses the InputDevice
API.
macOS, iOS, tvOS
This backend uses the GCController
API.
Besides game controllers, it also supports the tvOS remote (microGamepad). The mapping for this is the following:
X button
- play/pauseA button
- pressing the touch arealeft thumbstick
- the touch area
Troubleshooting
Some backends (evdev
on Linux and xinput
on Windows) and the plugin loader utilize the logging category qt.gamepad
. Enabling this will print useful information on the debug output.
Examples
The examples demonstrate how to handle input from a gamepad using the QML and C++ APIs.


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Select Arena
Yarn
Countertop
Space
Burgers
Breakables
Box
1ST CONTENDER
Space Cat
Mad Cat
Trombone Cat
Guitar Cat
Friendly Cat
Scream Cat
Boxing Cat
Musical Cat
Catloaf
Ferocious Cat
VS.
2ND CONTENDER
Space Cat
Mad Cat
Trombone Cat
Guitar Cat
Friendly Cat
Scream Cat
Boxing Cat
Musical Cat
Catloaf
Ferocious Cat
FIGHT!


General physicians at Gastro Clinics possess unique combination of applied knowledge, skills and training that authorizes them to assist the team of medical specialists or practitioners. Specialising in the area of analysing diseases in the early stages of treatment, they are able to carry out accurate diagnoses and examinations for further treatments. All physical and general examinations are carried out under general medicine doctor, who then advances the patients to the specialists for acute concerns.
GHaving being specialised in Gastroenterology, our GI physicians have applied experience and competency to treat diseases and aliments of the digestive system (gastrointestinal system), ensuring to perform specialised examinations. Our specialists have advance expertise to diagnose and treat disorders and conditions related to the esophagus, stomach, intestines, gallbladder, liver and pancreas. In essence, our expert sub special Hepatologists assist to diagnose organs like the liver, the biliary tree, the gallbladder and the pancreas dealing with symptoms of viral hepatitis and diseases related to alcohol such as cirrhosis and other complications.
Endoscopy involves using a telescope with instruments that is inserted through the mouth or anus (upper or lower GI) in order to monitor and observe internal disorders or perform certain procedures that includes eliminating polyps, to stop internal bleeding, broadening narrow portions of the GI tract, or to carry out biopsies for cancer. Specialised consultants at Gastro Clinics are highly qualified, certified and trained to perform all these procedures cautiously, making it easier for gastroenterologists to examine the kind of disease that is prevalent and determine a treatment that is necessary.
Flexible sigmoidoscopy is used to examine and evaluate the lower part of the large intestine (colon) via a thin, flexible tube that is inserted into the rectum and most of the sigmoid colon. The procedure is performed to investigate intestinal signs and symptoms and explore possible causes of abdominal pain, chronic diarrhea, rectal bleeding, changes in bowel habits and other intestinal problems, along with signs of cancers or polyps. Whereas, a colonoscopy examines and tests the entire colon, particularly when a sigmoidoscopy cannot diagnose the entire colon.
Polypectomy is a minimally invasive procedure that is used by the doctors to remove abnormal growth of tissues from inside the colon (large intestine), known as polyps. It is usually discovered as part of a routine colonoscopy and a therapeutic procedure in order to examine whether the polyps is cancerous, precancerous, or non-cancerous. However, polyps may also be assessed via a non-invasive imaging test such as a CT scan, ultrasound, or a magnetic resonance imaging (MRI) scan, in cases of evaluating the causes of weight loss, bleeding, or other symptoms.


Input: a csv-file for each database table and a controlfile describing relations between tables. Output: An extended ER diagram
| Version: | 2.0 |
| Published: | 2012-05-07 |
| Author: | Martin Dugas |
| Maintainer: | Martin Dugas <dugas at uni-muenster.de> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | no |
| CRAN checks: | CityPlot results |
| Reference manual: | CityPlot.pdf |
| Package source: | CityPlot_2.0.tar.gz |
| Windows binaries: | r-devel: CityPlot_2.0.zip, r-release: CityPlot_2.0.zip, r-oldrel: CityPlot_2.0.zip |
| OS X binaries: | r-release: CityPlot_2.0.tgz, r-oldrel: CityPlot_2.0.tgz |
| Old sources: | CityPlot archive |
Please use the canonical form https://CRAN.R-project.org/package=CityPlot to link to this page.


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An early project to help me get accustomed to the GitHub workflow. It features some css styles, including for form elements and a button powered by JQuery to add goals to an unordered list.
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Carpe Diem. Enjoy the day. It's a fact of our modern society that virtually all people now surf the web. This implies they enjoy it, but they only will if the surf is good. As web developers, we want to create that web experience along the way that makes the surfer want to catch our wave and ride it all the way to shore.
Originally from Pasadena, California, my first passion was music. I learned how to play the viola and piano at an early age and later developed as a bass-baritone, becoming an opera singer.
My web programming interests developed after my first college experience in MIS (Management Information Systems) as I was embarking on a music degree in composition. I found I had the same thrill of creation from building a website as a I did for writing a piece.