MathJax is an open-source JavaScript display engine for LaTeX and MathML that works in all modern browsers. It was designed with the goal of consolidating the recent advances in web technologies into a single, definitive, math-on-the-web platform supporting the major browsers and operating systems. It requires no setup on the part of the user (no plugins to downlaod or software to install), so the page author can write web documents that include mathematics and be confident that users will be able to view it naturally and easily. One simply includes MathJax and some mathematics in a web page, and MathJax does the rest.
MathJax uses web-based fonts (in those browsers that support it) to produce high-quality typesetting that scales and prints at full resolution (unlike mathematics included as images). MathJax can be used with screen readers, providing accessibility for the visually impaired. With MathJax, mathematics is text-based rather than image-based, and so it is available for search engines, meaning that your equations can be searchable, just like the text of your pages. MathJax allows page authors to write formulas using TeX and LaTeX notation, or MathML, a World Wide Web Consortium standard for representing mathematics in XML format. MathJax will even convert TeX notation into MathML, so that it can be rendered more quickly by those browsers that support MathML natively, or so that you can copy and paste it into other programs.
MathJax is modular, so it loads components only when necessary, and can be extended to include new capabilities as needed. MathJax is highly configurable, allowing authors to customize it for the special requirements of their web sites. Finally, MathJax has a rich application programming interface (API) that can be used to make the mathematics on your web pages interactive and dynamic.


[#include "../include/页头顶栏.html"] [#include "../include/标志和搜索.html"] [#include "../include/页头导航栏.html"/] 内置方法说明：
cms_content [#include "../include/页脚信息栏.html"/]


Camera Models
COLMAP implements different camera models of varying complexity. If no intrinsic parameters are known a priori, it is generally best to use the simplest camera model that is complex enough to model the distortion effects:
SIMPLE_PINHOLE
,PINHOLE
: Use these camera models, if your images are undistorted a priori. These use one and two focal length parameters, respectively. Note that even in the case of undistorted images, COLMAP could try to improve the intrinsics with a more complex camera model.SIMPLE_RADIAL
,RADIAL
: This should be the camera model of choice, if the intrinsics are unknown and every image has a different camera calibration, e.g., in the case of Internet photos. Both models are simplified versions of theOPENCV
model only modeling radial distortion effects with one and two parameters, respectively.OPENCV
,FULL_OPENCV
: Use these camera models, if you know the calibration parameters a priori. You can also try to let COLMAP estimate the parameters, if you share the intrinsics for multiple images. Note that the automatic estimation of parameters will most likely fail, if every image has a separate set of intrinsic parameters.SIMPLE_RADIAL_FISHEYE
,RADIAL_FISHEYE
,OPENCV_FISHEYE
,FOV
,THIN_PRISM_FISHEYE
: Use these camera models for fisheye lenses and note that all other models are not really capable of modeling the distortion effects of fisheye lenses. TheFOV
model is used by Google Project Tango (make sure to not initialize omega to zero).
You can inspect the estimated intrinsic parameters by double-clicking specific images in the model viewer or by exporting the model and opening the cameras.txt file.
To achieve optimal reconstruction results, you might have to try different camera models for your problem. Generally, when the reconstruction fails and the estimated focal length values / distortion coefficients are grossly wrong, it is a sign of using a too complex camera model. Contrary, if COLMAP uses many iterative local and global bundle adjustments, it is a sign of using a too simple camera model that is not able to fully model the distortion effects.
You can also share intrinsics between multiple images to obtain more reliable results (see Share intrinsic camera parameters) or you can fix the intrinsic parameters during the reconstruction (see Fix intrinsic camera parameters).
Please, refer to the camera models header file for information on the parameters of the different camera models: https://github.com/colmap/colmap/blob/master/src/colmap/camera/models.h


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Team Chat Platforms
If your project or organization currently uses a platform like Discord or Slack you should pick an alternative here.
{%
include cardv2.html
title="Matrix"
image="/assets/img/svg/3rd-party/matrix.svg"
image-dark="/assets/img/svg/3rd-party/matrix-dark.svg"
description='Matrix is an open-source project that publishes the Matrix open standard for secure, decentralized, real-time communication.
Riot.im is the popular reference client produced by the Matrix.org team. It offers optional E2EE for 1:1 and group conversations that must be turned on by the user. (This can be done by clicking on the toggle switch which is accessed by clicking the room name or user name of the chat → Security & Privacy → Encrypted). In the future it will be on by default.'
website="https://about.riot.im/"
forum="https://forum.privacytools.io/t/discussion-riot-im/665/"
github="https://github.com/vector-im/riot-web/"
windows="https://riot.im/download/desktop/"
mac="https://riot.im/download/desktop/"
linux="https://riot.im/download/desktop/"
fdroid="https://f-droid.org/repository/browse/?fdid=im.vector.alpha"
googleplay="https://play.google.com/store/apps/details?id=im.vector.app"
ios="https://itunes.apple.com/app/vector.im/id1083446067"
web="https://riot.im/app/"
%}
{%
include cardv2.html
title="Rocket.chat"
image="/assets/img/svg/3rd-party/rocketchat.svg"
description="Rocket.chat is an self-hostable open source platform for team communication. It has optional federation and experimental E2EE."
labels="warning:Experimental E2EE:Regarding E2EE their documentation states 'This feature is currently in alpha. It's also not yet supported on mobile'. There is no forward secrecy so compromised decryption password would leak all messages. Federation was also added afterwards, potentially causing room for mistakes."
website="https://rocket.chat/"
forum="https://forum.privacytools.io/t/discussion-rocket-chat/1223"
github="https://github.com/rocketchat/"
windows="https://rocket.chat/install"
mac="https://itunes.apple.com/us/app/rocket-chat/id1086818840"
linux="https://rocket.chat/install"
fdroid="https://f-droid.org/packages/chat.rocket.android"
googleplay="https://play.google.com/store/apps/details?id=chat.rocket.android"
ios="https://itunes.apple.com/app/rocket-chat/id1148741252"
%}
{%
include cardv2.html
title="Keybase"
image="/assets/img/svg/3rd-party/keybase.svg"
description='Keybase provides a hosted team chat with E2EE. Its protocol has also been indepedently audited (PDF). Keybase can help you prove you own social media accounts though the use of cryptographic signing of "identity proofs".'
labels="warning:Warning:This software relies on a closed-source central server."
website="https://keybase.io/"
forum="https://forum.privacytools.io/t/discussion-keybase/1224"
tor="http://keybase5wmilwokqirssclfnsqrjdsi7jdir5wy7y7iu3tanwmtp6oid.onion/"
github="https://github.com/Keybase"
windows="https://keybase.io/docs/the_app/install_windows"
mac="https://keybase.io/docs/the_app/install_macos"
linux="https://keybase.io/docs/the_app/install_linux"
freebsd="https://www.freshports.org/security/keybase/"
googleplay="https://play.google.com/store/apps/details?id=io.keybase.ossifrage"
ios="https://apps.apple.com/app/keybase-crypto-for-everyone/id1044461770"
firefox="https://addons.mozilla.org/firefox/addon/keybase-for-firefox/"
chrome="https://chrome.google.com/webstore/detail/keybase-for-reddit/ognfafcpbkogffpmmdglhbjboeojlefj"
%}


The builtin config files do contain segments that have a special meaning for the compiler and the libraries that come with it. If you replace the builtin config files, you will need the following information.
The INIT segment is used for initialization code that may be reused once execution reaches main() - provided that the program runs in RAM. You may for example add the INIT segment to the heap in really memory constrained systems.
For the LOWCODE segment, it is guaranteed that it won't be banked out, so it is reachable at any time by interrupt handlers or similar.
This segment contains the startup code which initializes the C software stack and the libraries. It is placed in its own segment because it needs to be loaded at the lowest possible program address on several platforms.
The ZPSAVE segment contains the original values of the zeropage locations used by the ZEROPAGE segment. It is placed in its own segment because it must not be initialized.


python -m SimpleHTTPServer &Then you can view files from this directory and its sub-directories in the Web browser via
http://localhost:8000/filename.html
http-server &Then you can view files from this directory and its sub-directories in the Web browser via
http://localhost:8080/filename.html
You first need to install http-server via
npm install http-server -gand this requires npm to be installed as part of the node distribution.


This will remove the "{{uiState.activeAccount.name}}" account from your "{{uiState.activeWallet?.name}}" wallet. All local changes that has not been persisted to cloud storage or blockchain, will be lost.


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Decoking Descaling Technology Inc.
Legal/Operating Name:
Decoking Descaling Technology Inc.
Mailing Address:
4873, 46 StLACOMBE, Alberta
T4L 2B2
Location Address:
4873, 46 StLACOMBE, Alberta
T4L 2B2
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
D.D. Technology Inc.(DDT) is the innovator and
world leader in pigging of refinery heater tubes. It is a cost
effective, safe, and environmentally sound technology using a
novel polymer Pigg®. DDT operates direct or through licensee's in
over 26 countries around the world.
The pigging process.
The DDT pigging process is the safest and most
expeditious way to clean fired heater tubes. The process
employs a closed loop, self contained hydraulic system,
making it a very safe and environmentally friendly way to
clean heater tubes. It is a process bidirectional, allowing
the cleaning Pigg ® to traverse the heater tubes in both
directions.
DDT is the holder of many patents world wide
and has also licenced the use of the technology to third
parties.
It is the only technology that will remove every kind of
deposit in all types of fired heaters. Because the DDT
process uses no chemicals and works at ambient
temperatures, it can be used to clean a multiplicity of
process lines, such as convection section, external
crossover lines, coke transfer lines, and other sections
that cannot be cleaned by traditional methods.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
The company that pioneered specially designed Piggs® utilized
in the removal of coke and scale deposits inside the tubes of
refinery heaters.
In 1991, Decoking Descaling Technology Inc., introduced the
concept of pigging of heaters in oil refineries. No well
defined technology or procedure for cleaning heater tubes existed
at that time, other than the traditional methods, although the
need for a better way to clean heater tubes was demanded for.
This was a new and radical departure from the traditional way
that heaters in refineries have been cleaned. It soon became
apparent to the operators of refinery furnaces, that this new
method of cleaning significantly lowered the start-up
temperatures in newly cleaned heaters. The start-up temperatures
subsequently obtained, closely resembled those of newly installed
furnaces, something that had never before been observed after the
customary traditional cleaning procedures. Although somewhat more
costly than the traditional methods used at that time, it did
have the benefit of a simultaneous cleaning of a heater, while
general maintenance was performed on the same. Costs have since
become more apportioned with the traditional, but questionable
method of steam-air decoking, or SAD. This reduction of downtime,
about half the time that is required for SAD, still has the added
benefit of a quicker turnaround with its resulting economic
benefits.
With the introduction of this new method also came a totally
new generation of cleaning pigs, the D.D.T. Pigg® . Cleaning
pigs have been successfully used by pipeline operators for many
years, however the physical requirements where and are far less
demanding than that of the pig designed for the exclusive use in
heaters.
D.D.T. Inc. pioneered a totally new design of Piggs® that uses
different materials and has different operating requirements and
procedures. The uniqueness of the designs and operating
procedures are enshrined in a series of patents that were granted
to D.D.T. Inc. Today, none of the copied designs by various other
manufacturers of pigs has attained the performance
characteristics of the D.D.T. Pigg® designs.
Because Decoking Descaling Technology Inc., has its technology
and Piggs® extensively used by exclusive licensees, the name
D.D.T. Inc. may not be well known in some parts of the world.
However, a D.D.Technology technical supervisor is always present
when a cleaning job is being conducted using the D.D.T. Piggs®
and procedures. Presently, D.D.T.Inc. is operating in 27
countries and most recently has begun operating in the U.S.A. as
an independent contractor. In the past, D.D.T. Inc. had operated
in the U.S. through a licensee, UCISCO, a well-known service
company.
D.D.T. maintains an extensive inventory of Piggs® and parts,
located in various locations around the world, that are
attainable at a moment notice.
A new and recent service component, which D.D.T. Inc. has
introduced, is the video inspection service of the endpoints of
heaters that are undergoing decoking procedures, to provide the
customer with an added component of quality assurance.
Through continual development, D.D.T.Inc. is constantly
improving the performance of its Piggs® and equipment
infrastructure as well as its operating procedures.
Most recently, through extensive research, D.D.T. Inc., has
under development, a new mitigation technique to virtually
eliminate the formation of coke and scale deposits in heater
tubes. This new technology is showing considerable interest in
the refining community, and should be available soon.
© D.D.T.Inc; GM 3-1999
Industry sectors and services that D.D.Technology Inc. presently
provides.
REFINERY HEATER CLEANING (PIGGING)
TRANSFER LINES (REFINERIES)
PROCESS HEATERS (HEAT EXCHANGERS)
POWER PLANTS (CO-GENERATION)
CHEMICAL PLANTS
STEEL MILLS
SEWAGE TREATMENT PLANTS
PULP & PAPER MILLS (LIQUOR LINES)
PIPELINES (ALL CONTENTS)
OFFSHORE PIPELINES (TRANSFER LINES)
MINES (SLURRY LINES)
VIDEO INSPECTIONS OF TUBES AND PIPES
NEW CONSTRUCTION (REMOVAL/CONDITIONING OF INTERNAL WELD SEAMS IN
TUBES)
Technology profile
The DDT Pigg ® - a compliant and flexible cleaning device
- is the key to the DDT process. This polymer Pig is available in
diameters from 16mm (½"), to as large as 914mm (36").
Each DDT Pigg ® carries an array of interchangeable
cleaning appendages or studs, each of which is threaded into the
body of the pig. These cleaning appendages are radially dispersed
in a clockwise or counter clockwise pattern to provide a complete
360º cleaning action.
It is the ONLY Pigg ® design that incorporates
interchangeable appendages. This patented design enables the
operator to adapt to all conditions encountered in refinery
heaters.
Market profile
Alliances:
- Sales/Marketing
Strategic alliances:
New technology for the cleaning of Fired Heaterswhile in operation.
Background.
Fouling in oil refinery fired heaters is a major
problem in the petroleum industry. It is estimated that the
noncommunist world petroleum industry's costs due to
heater fouling sits at 4.4 billion dollars U.S.(1984).
Indeed in the United States, the estimate for crude
distillation and visbreaking fouling costs alone amounted
to over 900 million dollars. Traditional methods of
dealing with the problem generally consist of unit and
process shutdown, and mechanical or chemical cleaning.
New technology.
A new method has been developed that allows
deposits to be mechanically cleaned without need to shut
down the process. An automated deployment and
retrieval system, combined with a temporal low pressure
loss during the transition time of the cleaning device
through the furnace section are the key to making sure
this system operates reliably and effectively under the
high temperatures and harsh conditions within the oil
stream. The construction of the system is such as to
allow for frequent cleaning runs, which will ensures that
the heater operates at the lowest fouling rates and best
heat transfer characteristics. By heading off the formation
of the dense coke that traditionally must be removed by
off-line mechanical cleaning systems, the furnace run-
time can be prolonged indefinitely.
This new cleaning system can be easily installed
on existing furnaces or incorporated in any new furnaces.
Scheduled commercialization by fall of 2000. For
addition information about this new technology, or
licencing of same, please contact D.D.Technology Inc.
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
The company that pioneered specially designed Piggs® utilized
in the removal of coke and scale deposits inside the tubes of
refinery heaters.
In 1991, Decoking Descaling Technology Inc., introduced the
concept of pigging of heaters in oil refineries. No well
defined technology or procedure for cleaning heater tubes existed
at that time, other than the traditional methods, although the
need for a better way to clean heater tubes was demanded for.
This was a new and radical departure from the traditional way
that heaters in refineries have been cleaned. It soon became
apparent to the operators of refinery furnaces, that this new
method of cleaning significantly lowered the start-up
temperatures in newly cleaned heaters. The start-up temperatures
subsequently obtained, closely resembled those of newly installed
furnaces, something that had never before been observed after the
customary traditional cleaning procedures. Although somewhat more
costly than the traditional methods used at that time, it did
have the benefit of a simultaneous cleaning of a heater, while
general maintenance was performed on the same. Costs have since
become more apportioned with the traditional, but questionable
method of steam-air decoking, or SAD. This reduction of downtime,
about half the time that is required for SAD, still has the added
benefit of a quicker turnaround with its resulting economic
benefits.
With the introduction of this new method also came a totally
new generation of cleaning pigs, the D.D.T. Pigg® . Cleaning
pigs have been successfully used by pipeline operators for many
years, however the physical requirements where and are far less
demanding than that of the pig designed for the exclusive use in
heaters.
D.D.T. Inc. pioneered a totally new design of Piggs® that uses
different materials and has different operating requirements and
procedures. The uniqueness of the designs and operating
procedures are enshrined in a series of patents that were granted
to D.D.T. Inc. Today, none of the copied designs by various other
manufacturers of pigs has attained the performance
characteristics of the D.D.T. Pigg® designs.
Because Decoking Descaling Technology Inc., has its technology
and Piggs® extensively used by exclusive licensees, the name
D.D.T. Inc. may not be well known in some parts of the world.
However, a D.D.Technology technical supervisor is always present
when a cleaning job is being conducted using the D.D.T. Piggs®
and procedures. Presently, D.D.T.Inc. is operating in 27
countries and most recently has begun operating in the U.S.A. as
an independent contractor. In the past, D.D.T. Inc. had operated
in the U.S. through a licensee, UCISCO, a well-known service
company.
D.D.T. maintains an extensive inventory of Piggs® and parts,
located in various locations around the world, that are
attainable at a moment notice.
A new and recent service component, which D.D.T. Inc. has
introduced, is the video inspection service of the endpoints of
heaters that are undergoing decoking procedures, to provide the
customer with an added component of quality assurance.
Through continual development, D.D.T.Inc. is constantly
improving the performance of its Piggs® and equipment
infrastructure as well as its operating procedures.
Most recently, through extensive research, D.D.T. Inc., has
under development, a new mitigation technique to virtually
eliminate the formation of coke and scale deposits in heater
tubes. This new technology is showing considerable interest in
the refining community, and should be available soon.
© D.D.T.Inc; GM 3-1999
Industry sectors and services that D.D.Technology Inc. presently
provides.
REFINERY HEATER CLEANING (PIGGING)
TRANSFER LINES (REFINERIES)
PROCESS HEATERS (HEAT EXCHANGERS)
POWER PLANTS (CO-GENERATION)
CHEMICAL PLANTS
STEEL MILLS
SEWAGE TREATMENT PLANTS
PULP & PAPER MILLS (LIQUOR LINES)
PIPELINES (ALL CONTENTS)
OFFSHORE PIPELINES (TRANSFER LINES)
MINES (SLURRY LINES)
VIDEO INSPECTIONS OF TUBES AND PIPES
NEW CONSTRUCTION (REMOVAL/CONDITIONING OF INTERNAL WELD SEAMS IN
TUBES)
Technology
Technology profile
The DDT Pigg ® - a compliant and flexible cleaning device
- is the key to the DDT process. This polymer Pig is available in
diameters from 16mm (½"), to as large as 914mm (36").
Each DDT Pigg ® carries an array of interchangeable
cleaning appendages or studs, each of which is threaded into the
body of the pig. These cleaning appendages are radially dispersed
in a clockwise or counter clockwise pattern to provide a complete
360º cleaning action.
It is the ONLY Pigg ® design that incorporates
interchangeable appendages. This patented design enables the
operator to adapt to all conditions encountered in refinery
heaters.
Market
Market profile
Alliances:
- Sales/Marketing
Strategic alliances:
New technology for the cleaning of Fired Heaterswhile in operation.
Background.
Fouling in oil refinery fired heaters is a major
problem in the petroleum industry. It is estimated that the
noncommunist world petroleum industry's costs due to
heater fouling sits at 4.4 billion dollars U.S.(1984).
Indeed in the United States, the estimate for crude
distillation and visbreaking fouling costs alone amounted
to over 900 million dollars. Traditional methods of
dealing with the problem generally consist of unit and
process shutdown, and mechanical or chemical cleaning.
New technology.
A new method has been developed that allows
deposits to be mechanically cleaned without need to shut
down the process. An automated deployment and
retrieval system, combined with a temporal low pressure
loss during the transition time of the cleaning device
through the furnace section are the key to making sure
this system operates reliably and effectively under the
high temperatures and harsh conditions within the oil
stream. The construction of the system is such as to
allow for frequent cleaning runs, which will ensures that
the heater operates at the lowest fouling rates and best
heat transfer characteristics. By heading off the formation
of the dense coke that traditionally must be removed by
off-line mechanical cleaning systems, the furnace run-
time can be prolonged indefinitely.
This new cleaning system can be easily installed
on existing furnaces or incorporated in any new furnaces.
Scheduled commercialization by fall of 2000. For
addition information about this new technology, or
licencing of same, please contact D.D.Technology Inc.


Management structure
Demonstrate your knowledge structure, according to your own thinking structure.
---
title: Home
description: a personal knowledge base management.
image: images/1.jpg
bottom_image: images/2.jpg
---
iKbase helps you find knowledge with your own note quickly on mobile.
Find your own knowledge today
Demonstrate your knowledge structure, according to your own thinking structure.
Quickly search for content.
Support markdown, images, gif etc.
Support public or private git repositories on GitHub/Bitbucket/GitLab.
It search quickly at any time.


Legend: Blue means ???; Green means open; Red means closed
Toggle each of these by clicking on them: Presets:


Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# Create a separable convolution layer using the separable_conv2d_batchnorm() function.
output_layer = separable_conv2d_batchnorm(input_layer, filters=filters, strides=strides)
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# Upsample the small input layer using the bilinear_upsample() function.
output_layer = bilinear_upsample(small_ip_layer)
# Concatenate the upsampled and large input layers using layers.concatenate
if (large_ip_layer is not None):
output_layer = layers.concatenate([output_layer, large_ip_layer])
# Add some number of separable convolution layers
output_layer = separable_conv2d_batchnorm(output_layer, filters=filters/2.0)
output_layer = separable_conv2d_batchnorm(output_layer, filters=filters)
return output_layer
Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
def shp(name, t):
print("{} has shape {}".format(name, t.shape))
def fcn_model(inputs, num_classes):
# Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
filters_start = 32
strides = (2, 2)
# shp('inputs', inputs)
x1 = encoder_block(inputs, filters=filters_start, strides=strides)
# shp('x1', x1)
x2 = encoder_block(x1, filters=filters_start*2, strides=strides)
# shp('x2', x2)
x3 = encoder_block(x2, filters=filters_start*4, strides=strides)
# shp('x3', x3)
x4 = encoder_block(x3, filters=filters_start*8, strides=strides)
# shp('x4', x4)
# Add 1x1 Convolution layer using conv2d_batchnorm().
x11 = conv2d_batchnorm(x4, filters=filters_start*16, kernel_size=1, strides=1)
# shp('x11', x11)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
x5 = decoder_block(x11, x3, filters=filters_start*8)
# shp('x5', x5)
x6 = decoder_block(x5, x2, filters=filters_start*4)
# shp('x6', x6)
x7 = decoder_block(x6, None, filters=filters_start*2)
# shp('x7', x7)
x8 = decoder_block(x7, None, filters=filters_start)
# shp('x8', x8)
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
return layers.Conv2D(num_classes, 3, activation='softmax', padding='same')(x8) # (x)
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
learning_rate = 0.01
batch_size = 64
num_epochs = 20
steps_per_epoch = 200
validation_steps = 50
workers = 2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
# Save your trained model weights
weight_file_name = 'model_weights'
model_tools.save_network(model, weight_file_name)
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
# weight_file_name = 'model_weights'
# restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
run_num = 'run_1'
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(final_score)


{{ error }}.
The .abstruse.yml
file at the root of the repo configures how Abstruse
CI is building, testing and deploying your code. This document will list the
different attributes abstruse understand and you can use to configure your builds.
{{ configError }}.
{{ triggerError }}.
Build has been successfully triggered.


 I’ve spent enough time working on the current iteration that even the smallest quirks or bugs get on my nerves.
At the top of that list was a problem with the rotating tagline sentences. It’s a cool effect, but a pain to execute. Here’s a quick summary of how the animation works:
The tricky part of this effect ends up being resizing the container to be the exact size of the upcoming word. Setting the container to have width: auto in CSS will allow it to fit the size of it’s contents, but there is no way to animate between two different sizes that result from using width: auto on different words. To perform the animation appropriately, I perform a more complicated set of operations:
oldWidth
.oldWidth
. (This results in no visual change, because it’s the same width as auto, but it changes how the width is calculated.)newWidth
.newWidth
.So while this system seems like it would work perfectly, I was running into a bug where despite calculating the size of the new and old word and animating properly, the containers of size newWidth
and oldWidth
didn’t quite fit the new and old words (sometimes too big, sometimes too small). This was really aggravating, because I used JavaScript to determine the width of the elements atnewWidth and auto, and they were the same!
How could it be the same size yet still appear different? I took to the handy chrome inspector, looking for anything that might be different, and I found it! It turns out that the computed value of the element’s width after changing it’s style differed by a fraction of a pixel.
So you might be thinking “Hey wait, how could a computer monitor display a fraction of a pixel?”. It’s true, it can’t. Although each pixel in a montior can be set to only one value at a time, web browsers work at an abstraction level away from the discrete pixels of screens. If the browser calculates that text takes up 89.224 pixels and that text is placed in a container of width 89 pixels, it will push the last character onto the next line. I tried every way to find the width of an element that I could think of, but every method returned an integer. Aggravating!
The solution, it turns out, was to use Window.getComputedStyle()
, which until this point I didn’t even know existed:
This returns a string like “89.224px”, which I could then parse and modify if needed. Once I started using Window.getComputedStyle()
in my calculations, all my animations became perfectly smooth, on every browser I tested. (That includes Chrome for Android, Chrome for iOS, Safari Mobile, and Chrome, Firefox, and Safari on desktop.) It was a pretty crazy solution, and I kind of freaked out when I got it working.
So I’m a pro at working with fractional pixels now, I guess. What’s next?


Username
Location
Region Code
Event Id
Perform Login
Perform Logout
Route to "/regions"
Route to "/regions/ballarat"
Route to "/regions/ballarat/events"
Route to "/regions/ballarat/events/42"
Randomize regionCode
Randomize EventId


(X)
Your browser does not appear to support WebGL.
We recommend using the latest version of Google Chrome or
Mozilla Firefox to play.
Also, make sure your video drivers are up to date.
(X)
Your browser does not appear to support the Web Audio API.
You can still play SkyRoads but neither sound nor music will function.
We recommend using the latest version of Google Chrome or
Mozilla Firefox for the best experience.


Chapter 3 Mechanics of endoresement
3.1 Executive support
Once an experimentation plan has been devised, you will need to make a good case as to why the strategy deserves a dedicated budget and resources and what sets this apart from other program initiatives already in place.
So how do you do it? Below are 3 steps to help in making a convincing case to obtain executive buy-in for your proposal.
Figure out who you should be talking to, that is, identify the relevant stakeholders in your organization who have the authority to sign off on a new strategy, allocate budget resources and designate personnel. You can make a list of the people you want to target. Next, you can ask what business needs do they face and what problems does the organization have that an experimentation can solve? Think like a marketer present your plan as a solution to those specific problems. It is also helpful to find a personal advocate within the organization to function as a change agent—someone who believes in you and has enough clout to advocate on your behalf. This will help give your experimental plan some authority when you present it to the executives.
Show your accomplishments and what the experimentation can do. This precludes getting to know your organization’s analytics capacity and correlating your experimentation success with the real results already existing. For instance, you can communicate that “you have been doing X, and it’s been contributing to Y”. Evidence-based plans are a powerful formula for getting executive buy-in. What if your community is relatively new, or not yet in existence? If this the case, you can benefit from the experience of others and researching a cache of other success stories ready to be applied to your programs. The question the executives will want to know is, how will you make another’s success your own success. This requires an experimentation plan.
Lay out the experimentation’s strategic plan for success. Once you have identified key stakeholders and worked on a compelling vision of how you can solve a key problem, you can start sharing that strategic plan. Your plan should, at a minimum, answer the following questions:
- What specific actions must you take to build a community for your research plan?
- What resources do you need to take those actions?
- What results—concrete and abstract—do you hope to achieve?
- What are the risks? how are the risks managed?
- How will you measure your results against your actions?
- How will you quantify the value of this process?
- Are your expectations realistic? Prove it.
- What are your performance deadlines?
3.2 Collaboration agreements
- team support
3.3 Funding models and budget targets
3.4 Project timelines and milestones
3.5 Communication matrix
- stakeholder consensus
requirements - Use communication matrix to relay information to stakeholders/executive - Importance: Why do we need to answer this scientific question now? - Novelty: Has this question been answered? Has it been attempted? - Impact: What’s the risk, and what’s the potential upside? - Design: Is the design of the experiment sound? how? - Qualifications: What makes this researcher/research uniquely qualified?
Communication of experimentation processes is like an onion, we can start in the middle layer with peers and colleagues and close supporters who can understand the message. From there, your secondary networks help build momentum. Once it’s clear your science resonates with people, then you can reach a larger audience through press and media. Read our = link_to “Researcher Guide”, guide_path for more info on the basics of crowdfunding.
- Establish a communication matrix
- Experiment status project updates to whom and how
- Foster a culture of experimentation in the organization Explain the business value of experimentation to decision-makers
- Establish accountabilities
- Frequency and content of communications
- Structural report updates
3.6 Code of conduct
There are opportunities to experiment even on difficult social issues such as interventions in poverty policies, drug use, or healthy-living interventions. Creating a control group can carry its own risk. If, for example, we are experimenting with a new benefits scheme, having a control group allows us to test whether the scheme has actually achieved its goals, but it also means depriving a group of citizens of an improved service, at least initially.
To get around this, a phased policy roll-out can create what’s called a “waiting list” experiment where the control group are the soon-to-have-innovation group. Everybody eventually receives the new policy innovation, negating the risk of push-back from the public. This approach was used by the UK’s Ministry of Housing, Communities and Local Government in their first ever randomised trial on community integration. In 2016, they tested whether English language training could help immigrants engage more in their community.
The results were impressive. They found significant improvements on many social integration outcomes, such as new friendships formed with people from other cultures, and attending more health appointments. The trial helped the Department put together new plans for their 2018 Integrated Communities Green Paper — including a network of conversation clubs and a new English language fund. For others wanting to design their own experiments in the UK Government, there is a Trials Advice Panel run by the Cabinet Office What Works Team who can walk you through the technicalities.
Ethical considerations: - Information sharing agreements and memorandums of understanding - Identify situations where experimentations are appropriate and relevant - Check Institutional Review Board (IRB) approval requirements prior to the launch of the experiment - Perform privacy impact assessments - Get ethics committee approvals
In summary: - Be ethical! - Inform users - Clear consent of participation


There are commands for various webpage loading actions:
// Navigate to a URL (both of the statements below are // functionally equivalent). driver.get("https://www.google.com"); driver.navigate().to("https://www.google.com"); // Go forward one page in the browser (if you're not on the // last page that was viewed). driver.navigate().forward(); // Go back one page in the browser (if you're not on the // first page that was viewed). driver.navigate().back(); // Refresh the current page. driver.navigate().refresh();
# Navigate to a URL. driver.get('https://www.google.com') # Go forward one page in the browser (if you're not on the # last page that was viewed). driver.forward() # Go back one page in the browser (if you're not on the # first page that was viewed). driver.back() # Refresh the current page. driver.refresh()
# Navigate to a URL (both of the statements below are # functionally equivalent). driver.get('https://www.google.com') driver.navigate.to('https://www.google.com') # Go forward one page in the browser (if you're not on the # last page that was viewed). driver.navigate.forward # Go back one page in the browser (if you're not on the # first page that was viewed). driver.navigate.back # Refresh the current page. driver.navigate.refresh
You will occasionally want to validate the colour of something as part of your tests; the problem is that colour definitions on the web are not constant. Wouldn't it be nice if there was an easy way to compare a HEX representation of a colour with an RGB representation of a colour, or an RGBA representation of a colour with a HSLA representation of a colour?
Worry not. There's a solution: the Color class!
First of all, you will need to import the class:
import org.openqa.selenium.support.Color;
from selenium.webdriver.support.color import Color
include Selenium::WebDriver::Support
You can now start creating colour objects. Every colour object will need to be created from a string representation of your colour. Supported colour representations are:
private final Color HEX_COLOUR = Color.fromString("#2F7ED8"); private final Color RGB_COLOUR = Color.fromString("rgb(255, 255, 255)"); private final Color RGB_COLOUR = Color.fromString("rgb(40%, 20%, 40%)"); private final Color RGBA_COLOUR = Color.fromString("rgba(255, 255, 255, 0.5)"); private final Color RGBA_COLOUR = Color.fromString("rgba(40%, 20%, 40%, 0.5)"); private final Color HSL_COLOUR = Color.fromString("hsl(100, 0%, 50%)"); private final Color HSLA_COLOUR = Color.fromString("hsla(100, 0%, 50%, 0.5)");
HEX_COLOUR = Color.from_string('#2F7ED8') RGB_COLOUR = Color.from_string('rgb(255, 255, 255)') RGB_COLOUR = Color.from_string('rgb(40%, 20%, 40%)') RGBA_COLOUR = Color.from_string('rgba(255, 255, 255, 0.5)') RGBA_COLOUR = Color.from_string('rgba(40%, 20%, 40%, 0.5)') HSL_COLOUR = Color.from_string('hsl(100, 0%, 50%)') HSLA_COLOUR = Color.from_string('hsla(100, 0%, 50%, 0.5)')
HEX_COLOUR = Color.from_string('#2F7ED8') RGB_COLOUR = Color.from_string('rgb(255, 255, 255)') RGB_COLOUR = Color.from_string('rgb(40%, 20%, 40%)') RGBA_COLOUR = Color.from_string('rgba(255, 255, 255, 0.5)') RGBA_COLOUR = Color.from_string('rgba(40%, 20%, 40%, 0.5)') HSL_COLOUR = Color.from_string('hsl(100, 0%, 50%)') HSLA_COLOUR = Color.from_string('hsla(100, 0%, 50%, 0.5)')
The Color class also supports all of the base colour definitions specified in http://www.w3.org/TR/css3-color/#html4.
private final Color BLACK = Color.fromString("black"); private final Color CHOCOLATE = Color.fromString("chocolate"); private final Color HOTPINK = Color.fromString("hotpink");
BLACK = Color.from_string('black') CHOCOLATE = Color.from_string('chocolate') HOTPINK = Color.from_string('hotpink')
BLACK = Color.from_string('black') CHOCOLATE = Color.from_string('chocolate') HOTPINK = Color.from_string('hotpink')
Sometimes browsers will return a colour value of "transparent" if no colour has been set on an element. The Color class also supports this:
private final Color TRANSPARENT = Color.fromString("transparent");
TRANSPARENT = Color.from_string('transparent')
TRANSPARENT = Color.from_string('transparent')
You can now safely query an element to get its colour/background colour knowing that any response will be correctly parsed and converted into a valid Color object:
Color loginButtonColour = driver.findElement(By.id("login")).getCssValue("color"); Color loginButtonBackgroundColour = driver.findElement(By.id("login")).getCssValue("background-color");
login_button_colour = driver.find_element_by_id('login').value_of_css_property('color') login_button_background_colour = driver.find_element_by_id('login').value_of_css_property('background-color');
login_button_colour = driver.find_element(id: 'login').css_value('color') login_button_background_colour = driver.find_element(id: 'login').css_value('background-color');
You can then directly compare colour objects:
assert loginButtonBackgroundColour.equals(HOTPINK);
assert login_button_background_colour == HOTPINK
assert(login_button_background_colour == HOTPINK)
Or you can convert the colour into one of the following formats and perform a static validation:
assert loginButtonBackgroundColour.asHex().equals("#ff69b4"); assert loginButtonBackgroundColour.asRgba().equals("rgba(255, 105, 180, 1)"); assert loginButtonBackgroundColour.asRgb().equals("rgb(255, 105, 180)");
assert login_button_background_colour.hex == '#ff69b4' assert login_button_background_colour.rgba == 'rgba(255, 105, 180, 1)' assert login_button_background_colour.rgb == 'rgb(255, 105, 180)'
assert(login_button_background_colour.hex == '#ff69b4') assert(login_button_background_colour.rgba == 'rgba(255, 105, 180, 1)') assert(login_button_background_colour.rgb == 'rgb(255, 105, 180)')
Colours are no longer a problem.
select
elementsSelect elements can require quite a bit of boiler plate code to automate. To reduce this and make your tests cleaner, there is a Select class in the Selenium support package. To use it, you will need the following import statement:
import org.openqa.selenium.support.ui.Select;
from selenium.webdriver.support.select import Select
include Selenium::WebDriver::Support
You are then able to create a Select object using a WebElement that references a <select> element.
WebElement selectElement = driver.findElement(By.id("selectElementID")); Select selectObject = new Select(selectElement);
select_element = driver.find_element_by_id('selectElementID') select_object = Select(select_element)
select_element = driver.find_element(id: 'selectElementID') select_object = Select(select_element)
The Select object will now give you a series of commands that allow you to interact with a <select> element. First of all, there are different ways of selecting an option from the <select> element.
<select>
<option value=value1>Bread</option>
<option value=value2 selected>Milk</option>
<option value=value3>Cheese</option>
</select>
There are three ways to select the first option from the above element:
// Select an <option> based upon the <select> element's internal index selectObject.selectByIndex(1); // Select an <option> based upon its value attribute selectObject.selectByValue("value1"); // Select an <option> based upon its text selectObject.selectByVisibleText("Bread");
# Select an <option> based upon the <select> element's internal index select_object.select_by_index(1) # Select an <option> based upon its value attribute select_object.select_by_value('value1') # Select an <option> based upon its text select_object.select_by_visible_text('Bread')
# Select an <option> based upon the <select> element's internal index select_object.select_by(:index, 1) # Select an <option> based upon its value attribute select_object.select_by(:value, 'value1') # Select an <option> based upon its text select_object.select_by(:text, 'Bread')
You can then check which options are selected by using:
// Return a List<WebElement> of options that have been selected List<WebElement> allSelectedOptions = selectObject.getAllSelectedOptions(); // Return a WebElement referencing the first selection option found by walking down the DOM WebElement firstSelectedOption = selectObject.getFirstSelectedOption();
# Return a list[WebElement] of options that have been selected all_selected_options = select_object.all_selected_options # Return a WebElement referencing the first selection option found by walking down the DOM first_selected_option = select_object.first_selected_option
# Return an Array[Element] of options that have been selected all_selected_options = select_object.selected_options # Return a WebElement referencing the first selection option found by walking down the DOM first_selected_option = select_object.first_selected_option
Or you may just be interested in what <option> elements the <select> element contains:
// Return a List<WebElement> of options that the <select> element contains List<WebElement> allAvailableOptions = selectObject.getOptions();
# Return a list[WebElement] of options that the <select> element contains all_available_options = select_object.options
# Return an Array[Element] of options that the <select> element contains all_available_options = select_object.options
If you want to deselect any elements, you now have four options:
// Deselect an <option> based upon the <select> element's internal index selectObject.deselectByIndex(1); // Deselect an <option> based upon its value attribute selectObject.deselectByValue("value1"); // Deselect an <option> based upon its text selectObject.deselectByVisibleText("Bread"); // Deselect all selected <option> elements selectObject.deselectAll();
# Deselect an <option> based upon the <select> element's internal index select_object.deselect_by_index(1) # Deselect an <option> based upon its value attribute select_object.deselect_by_value('value1') # Deselect an <option> based upon its text select_object.deselect_by_visible_text('Bread') # Deselect all selected <option> elements select_object.deselect_all()
# Deselect an <option> based upon the <select> element's internal index select_object.deselect_by(:index, 1) # Deselect an <option> based upon its value attribute select_object.deselect_by(:value, 'value1') # Deselect an <option> based upon its text select_object.deselect_by(:text, 'Bread') # Deselect all selected <option> elements select_object.deselect_all
Finally, some <select> elements allow you to select more than one option. You can find out if your <select> element is one of these by using:
Boolean doesThisAllowMultipleSelections = selectObject.isMultiple();
does_this_allow_multiple_selections = select_object.is_multiple
does_this_allow_multiple_selections = select_object.multiple?
Suppose you have an arbitrary web element e:
WebElement e = driver.findElement(By.id("testElement"));
e = driver.find_element_by_id("testElement")
You can simulate mouse clicking on e if it's visible and has a height and width that are greater than 0:
e.click();
e.click()
Moreover, it's possible to mimic hovering of the cursor over e. In order to do so, you'll need the following import statement:
import org.openqa.selenium.interactions.Actions;
from selenium.webdriver import ActionChains
With this statement in place, you can now move over the element in question:
Actions actions = new Actions(driver); actions.moveToElement(e); actions.perform();
actions = ActionChains(driver) actions.move_to_element(e) actions.perform()
If e is an input or textarea element, the following keyboard actions can be carried out:
1. Enter a sequence of characters in e:
e.sendKeys("Test");
e.send_keys("Test")
2. Delete the text that's in e (if there is any):
e.clear();
e.clear()


Incognito Mode for Google Maps on Android Finally Begins Roll Out
by George KamauWhen was the last time you didn’t use Google Maps? The app has become an essential tool for navigating places especially if they’re unknown. the app being related to Google means it tracks your location and uses it for ad targetting. The tech giant announced at their I/0 2019 event that they would provide an incognito mode for Google Maps in their commitment to privacy.
We waited. Five months went by.
The feature is now available, at least for Android users.
How it will work
First things first, Google will still require you to provide your actual geographical location. When incognito mode is enabled, Google won’t save your searches and won’t use that data to personalize your experience and you won’t receive any notifications.
Just like it says for the Chrome app when you go incognito, this mode doesn’t make you invisible only untrackable.
Also, if you happen to use Google Maps via third-party map apps or Google Search, some data and activity may also be recorded.
In incognito mode, the Google Assistant microphone isn’t available in navigation, but “Ok Google” will continue to work as expected. Google Assistant is a system feature that isn’t a part of Incognito mode for Maps, so any information you share with it will be saved as usual.
Google outlines other features that will be disabled including:
- Commute
- For You
- Location History: Location History will be paused for your entire device, not just Maps.
- Location Sharing
- Notifications and messages
- Search history
- Search completion suggestions
- Google Maps Contributions
- Google Assistant microphone in Navigation
- Offline Maps
- Your Places
- Media integration
How to enable incognito mode
To enable or disable incognito mode, just tap your profile pic in the Google Maps apps and tap on the “Turn on Incognito mode” option.
The update is server-side so be patient before it’s available to you.


Directions: Paste barcodes (one barcode per line) into the input box below,
and press the button, "Process barcodes" to get the item record
numbers, and the bib record numbers for use in Create Lists.
Sample barcode list here
See Sierra documentation here:
http://techdocs.iii.com/sierrahelp/Default.htm#sgil/sgil_lists_new_review_file.html#import


The TMTouchReset API call performs the Reset function on the 1-Wire network, resetting all of the devices on the 1-Wire network. The function returns the result of the operation.
For a description of the above types, see the TMEX Type Descriptions.
Parameters
session_handle
Specifies the session handle returned from the API function TMExtendedStartSession that specifies the desired 1-Wire network port. This parameter is required by most TMEX API functions.
Return Value
0 => No presence pulse detected.See Also


- send(SOAPMessage, String) - Method in interface com.pkrete.xrd4j.client.SOAPClient
-
Sends the given message to the specified endpoint and blocks until it has
returned the response.
- send(ServiceRequest, String, ServiceRequestSerializer, ServiceResponseDeserializer) - Method in interface com.pkrete.xrd4j.client.SOAPClient
-
Sends the given message to the specified endpoint and blocks until it has
returned the response.
- send(SOAPMessage, String) - Method in class com.pkrete.xrd4j.client.SOAPClientImpl
-
Sends the given message to the specified endpoint and blocks until it has
returned the response.
- send(ServiceRequest, String, ServiceRequestSerializer, ServiceResponseDeserializer) - Method in class com.pkrete.xrd4j.client.SOAPClientImpl
-
Sends the given message to the specified endpoint and blocks until it has
returned the response.
- serialize(ServiceRequest) - Method in class com.pkrete.xrd4j.client.serializer.AbstractServiceRequestSerializer
-
Serializes the given ServiceRequest to SOAPMessage.
- serialize(ServiceRequest) - Method in interface com.pkrete.xrd4j.client.serializer.ServiceRequestSerializer
-
Serializes the given ServiceRequest object to SOAPMessage object.
- serializeRequest(ServiceRequest, SOAPElement, SOAPEnvelope) - Method in class com.pkrete.xrd4j.client.serializer.AbstractServiceRequestSerializer
-
Serializes the application specific request part to SOAP body's request
element.
- serializeRequest(ServiceRequest, SOAPElement, SOAPEnvelope) - Method in class com.pkrete.xrd4j.client.serializer.DefaultServiceRequestSerializer
-
Empty implementation.
- ServiceRequestSerializer - Interface in com.pkrete.xrd4j.client.serializer
-
This class defines an interface for serializing ServiceRequest objects
to SOAPMessage objects.
- ServiceResponseDeserializer - Interface in com.pkrete.xrd4j.client.deserializer
-
This class defines an interface for deserializing SOAPMessage objects
to ServiceResponse objects.
- setCustomHostNameVerifier() - Static method in class com.pkrete.xrd4j.client.util.ClientUtil
-
This methods overrides the default host name verifier that can cause
problems with self signed or untrusted SSL certificates.
- SOAPClient - Interface in com.pkrete.xrd4j.client
-
This class defines an interface for SOAP client that can be used for sending
SOAPMessage and ServiceRequest objects to SOAP endpoints.
- SOAPClientImpl - Class in com.pkrete.xrd4j.client
-
This class represents a SOAP client that can be used for sending SOAPMessage
and ServiceRequest objects to SOAP endpoints.
- SOAPClientImpl() - Constructor for class com.pkrete.xrd4j.client.SOAPClientImpl
-
Constructs and initializes a new SOAPClientImpl.


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Absolute path to the a3c application on the machine hosting Jenkins that shall be used to invoke the a³ for C client.
Typical path on Windows is C:\Program Files\AbsInt\common\bin\a3c.exe.
Alternatively, the alauncher application may be specified as the preferred method to invoke the a³ for C client.


Demonstrates the use of a different set of images to render the control, using the imgPath option. The slider option is also used, with the addition of the minZoom and maxZoom that reduces the size of the slider.
See the source of the images.


"BATTLE-BOW "the war-bow used in fighting (Zechariah 9:10; 10:4). “Thy bow was made quite naked” (Habakkuk 3:9) means that it was made ready for use. By David’s order (2 Samuel 1:18) the young men were taught the use, or rather the song of the bow. (See ARMOUR, BOW.)
"BATTLE-BOW "the war-bow used in fighting (Zechariah 9:10; 10:4).
“Thy bow was made quite naked” (Habakkuk 3:9) means that it was made ready for use. By David’s order (2 Samuel 1:18) the young men were taught the use, or rather the song of the bow. (See ARMOUR, BOW.)


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| CustomSelector |
string |
Must be set before the control is initialized. If set, the client will search for the control using the provided selector.
It is usefull to bind controls to existing html code
|
{ get; set; } |
| InnerText |
string |
Set the InnerText of the control |
{ get; set; } |
| CssProperties |
IDictionary<string, string> |
Css properties of the control. These will be set inside "style=" in the html code
|
{ get; set; } |
| Attributes |
IDictionary<string, string> |
List of attribues of the control. These will be set directly on the html element.
By example, this mySpanControl.Attributes["data-test"] = "test"; will give:
|
{ get; set; } |
| Classes |
IList<string> |
List of the css classes to put inside "class=" in the html code. Note that if a javascript library modify the classes of an element, the server will not be informed.
Modifying this list server side will removed any classes the server is unware of, and add any classes that were removed client-side.
|
{ get; set; } |
| PreventClickEventsPropagation |
bool |
When listening to click events, the jQuery "stopPropagation" function is called client side after sending the event to the server. To prevent this, turn PreventClickEventsPropagation to true
|
{ get; set; } |
| HtmlDefaultTag |
string |
if set before the control is sent to the client, this will determine the html tag used. By example, set "a" to get a
|
{ get; set; } |
| Width |
string |
Simple accessor to update CssProperties["width"]
|
{ get; set; } |
| Float |
FloatDirection |
Simple accessor to update CssProperties["float"]
|
{ get; set; } |
| Height |
string |
Simple accessor to update CssProperties["height"]
|
{ get; set; } |
| PaddingTop |
string |
Simple accessor to update CssProperties["padding-top"]
|
{ get; set; } |
| PaddingBottom |
string |
Simple accessor to update CssProperties["padding-bottom"]
|
{ get; set; } |
| PaddingRight |
string |
Simple accessor to update CssProperties["padding-right"]
|
{ get; set; } |
| PaddingLeft |
string |
Simple accessor to update CssProperties["padding-left"]
|
{ get; set; } |
| BackgroundColor |
System.Drawing.Color |
Simple accessor to update CssProperties["background-color"]
|
{ get; set; } |
| Color |
System.Drawing.Color |
Simple accessor to update CssProperties["color"]
|
{ get; set; } |
| Visible |
VisibleState |
Simple accessor to update CssProperties["display"]
|
{ get; set; } |
| InternalStyles |
IDictionary<string, Dictionary<string, string>> |
Will generate a  element inside the control with the listed classes.
The key of the IDictionary is used for the name of the css class, then the Dictionary inside is used to specify each css attribute and value
|
{ get; set; } |
| PopupTitle |
string |
When used with FSW.Semantic, a popup will appear over the control when the user move the mouse over it. This property control the title of the popup. Do not forget to set PopupContent
|
{ get; set; } |
| PopupContent |
string |
When used with FSW.Semantic, a popup will appear over the control when the user move the mouse over it. This property control the content of the popup. Do not forget to set PopupTitle
|
{ get; set; } |
| RightClickMenu |
RightClickMenuOptions |
This property allows you to generate a custom right click menu. The menu will appear when the user right click your control. See RightClickMenuOptions for more informations
|
{ get; set; } |


Multiline Comment
/**
* Comment explaining method
*/
- (id) myMethod;
Inline Comment
/** Comment explaining method. */
- (id) myMethod;
Content
Directly explain what the method does. Avoid being verbose and redundant.
Example, DO NOT DO THIS
/**
* This class is the data model for a Car
*/
@interface MyClass : ….
/** This method is used to get the value of x */
- (id) myMethod;
But, DO THIS. The position of the comment already tells that you are referring to that method or class.
/**
* Car data model
*/
@interface MyClass : ….
/** Get the value of x */
- (id) myMethod;
What to Comment
The following items must ALWAYS have a related comment (multiline or inline is up to the developer).
- Constants defined in an interface file
- Class definition in an interface file
- Every method and property defined in an interface file
- Protocol definition in an interface file
- Every method defined inside a protocol definition
- Class extension and Categories, in both interface file and implementation file (NOTE: documentation will not be generated for Class extension or Categories defined inside an implementation file, but comments are required to understand the purpose of the module)
- Every method defined inside a Class extension or Category
- Any other piece of code you feel deserves comments for better readability and maintainability


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