backbone | Give your JS App some Backbone with Models Views | Frontend Framework library
kandi X-RAY | backbone Summary
kandi X-RAY | backbone Summary
Backbone supplies structure to JavaScript-heavy applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing application over a RESTful JSON interface. For Docs, License, Tests, pre-packed downloads, and everything else, really, see: To suggest a feature or report a bug: For questions on working with Backbone or general discussions: or Backbone is an open-sourced component of DocumentCloud: Testing powered by SauceLabs: Many thanks to our contributors: Special thanks to Robert Kieffer for the original philosophy behind Backbone.
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Top functions reviewed by kandi - BETA
- Update element display with new elements .
- Hide all sections in the page
- Navigate to the first search
- Check if string is in case
- Check if the given element matches the search - name
- Generate S4 protocol
- Generates unique GUID
- Filter element display
backbone Key Features
backbone Examples and Code Snippets
public class JFileChooserWithConsoleUse {
public static void main(String[] args) {
// A JFrame used here as a backbone for dialogs
javax.swing.JFrame iFrame = new javax.swing.JFrame();
iFrame.setDefaultCloseOpe
start_controls_section(
'content_section',
[
'label' => __( 'Content', 'plugin-name' ),
'tab' => \Elementor\Controls_Manager::TAB_CONTENT,
]
);
$this-&
# backbone
if backbone_name == 'resnet_18':
resnet_net = torchvision.models.resnet18(pretrained=True)
modules = list(resnet_net.children())[:-1]
backbone = nn.Sequential(*modules)
bac
class ResNet(nn.Module):
def __init__(self, cfg):
super(ResNet, self).__init__()
# If we want to use the cfg in forward(), then we should make a copy
# of it and store it for later use:
# self.cfg = cfg
version: '3'
services:
myservice1:
image: myImage1
depends_on:
- myService2
- myService3
ports:
- "8081:80"
environment:
- TZ=Europe/Warsaw
networks:
- backbone
myservice3:
image:
ip1, ip2 = Input(shape=(20,)), Input(shape=(20,))
backbone = Sequential()
backbone.add(Dense(50, activation='relu'))
backbone.add(Dense(200, activation='sigmoid'))
op1, op2 = backbone(ip1), backbone(ip2)
model = Model(inputs=[ip1, ip2], ou
BW = bwmorph(BW,'skel',inf);
I = imread('sperm.png');
BW1 = ~imbinarize(rgb2gray(I)); %Make the spermcell "true"
%Find backbone
BW2 = bwmorph(BW1,'thicken',5);
[BW3,~] = longestConstrainedPath(BW2,'thinOpt','Skel'
from keras.applications.vgg16 import VGG16
from keras.layers import *
from keras import backend as K
from keras.models import Model
import numpy as np
class Gray2VGGInput( Layer ) :
"""Custom conversion layer
"""
def build( s
var view = this;
this.model.fetch({
success: function (post) {
console.log(post.toJSON().length);
view.$el.html(view.template(post.toJSON()));
Community Discussions
Trending Discussions on backbone
QUESTION
Suppose you have a neural network with 2 layers A and B. A gets the network input. A and B are consecutive (A's output is fed into B as input). Both A and B output predictions (prediction1 and prediction2) Picture of the described architecture You calculate a loss (loss1) directly after the first layer (A) with a target (target1). You also calculate a loss after the second layer (loss2) with its own target (target2).
Does it make sense to use the sum of loss1 and loss2 as the error function and back propagate this loss through the entire network? If so, why is it "allowed" to back propagate loss1 through B even though it has nothing to do with it?
This question is related to this question https://datascience.stackexchange.com/questions/37022/intuition-importance-of-intermediate-supervision-in-deep-learning but it does not answer my question sufficiently. In my case, A and B are unrelated modules. In the aforementioned question, A and B would be identical. The targets would be the same, too.
(Additional information) The reason why I'm asking is that I'm trying to understand LCNN (https://github.com/zhou13/lcnn) from this paper. LCNN is made up of an Hourglass backbone, which then gets fed into MultiTask Learner (creates loss1), which in turn gets fed into a LineVectorizer Module (loss2). Both loss1 and loss2 are then summed up here and then back propagated through the entire network here.
Even though I've visited several deep learning lectures, I didn't know this was "allowed" or makes sense to do. I would have expected to use two loss.backward()
, one for each loss. Or is the pytorch computational graph doing something magical here? LCNN converges and outperforms other neural networks which try to solve the same task.
ANSWER
Answered 2021-Jun-09 at 10:56From the question, I believe you have understood most of it so I'm not going to details about why this multi-loss architecture can be useful. I think the main part that has made you confused is why does "loss1" back-propagate through "B"? and the answer is: It doesn't. The fact is that loss1 is calculated using this formula:
QUESTION
I'm still using Backbone.js and am having some problems with URL's loading twice (at least in Chrome) when there is JSON in the hash.
Say I want to navigate to this hash: #{"name":"Viktor"}
. After encoding it with encodeURIComponent('{"name":"Viktor"}')
it becomes %7B%22name%22%3A%22Viktor%22%7D
.
If I then try to navigate to the hash like this.navigate('%7B%22name%22%3A%22Viktor%22%7D')
Backbone decodes the hash to #{"name":"Viktor"}
and saves it. Then a hashchange
event is triggered which calls Backbone.history.checkUrl()
which indirectly calls Backbone.history.getHash()
and returns hash #{%22name%22:%22Viktor%22}
from window.location.href
, but this is only partly decoded, at least in Chrome.
This leads to the following check failing:
...ANSWER
Answered 2021-Jun-08 at 07:30Your issue is a bug fixed in Backbone 1.4, so I will suggest updating your Backbone version.
The only way I think it can be solved is patching Backbone as you done.
QUESTION
I am new to Django and API creation. I am trying to figure out if it is better to use djangorestframework
or just use JsonResponse
. I got the suggestion of djangorestframework
from Digital Ocean's tutorial but also found out about JsonResponse
, which seems simpler given that I don't have to install another package.
Goal: I would like to be able to provide user information for both web and mobile applications.
I see that there are some reasons provided on this post for djangorestframework
, which I pasted below for posteriority.
...The common cases for using DRF are:
1)You're creating a public-facing external API for third-party developers to access the data in your site, and you want to output JSON they can use in their apps rather than HTML.
2)You're doing mobile development and you want your mobile app to make GET/PUT/POST requests to a Django backend, and then have your backend output data (usually as JSON) to the mobile app. Since you don't want to pass back HTML to the mobile app, you use DRF to effectively create a REST API that your mobile app can call.
3)You're creating a web app, but you don't want to use the Django templating language. Instead you want to use the Django ORM but output everything as JSON and have your frontend created by a JavaScript MVC framework such as React, Backbone, AngularJS, etc. In those cases, you can use DRF to output JSON that the JavaScript framework can process.
ANSWER
Answered 2021-Jun-04 at 14:44DRF basically provides you many features to make APIs that you don't have in raw django.
for example:
Serializers: a declarative way(django style like declaring models) of making serializers, when you use
JsonResponse
you have to tell everywhere what to serialize, with the serializer you have to import it and just use it, also this serializers can be able to save/update objects too. Also support ORM source to connect yours models(think how difficult would be serialize a model with nested relations with JsonResponse).The Web browsable API, you can see all the availables endpoints.
Third party packages to install and use: https://www.django-rest-framework.org/community/third-party-packages/#existing-third-party-packages.
QUESTION
Unable to pass the Below tests case which is asking to add a element to the collection . When i do taskCollection.add(), It is throwing error as unable to set values for undefined Can anyone please check on how to pass this test case . I tried creating a new view and then do a addAll but it just does not work .. How to add a model to the collection . Test case is at the bottom
This is my JS Code
...ANSWER
Answered 2021-Jun-03 at 07:36I think that your addTask
is not doing what you expect. this.Task
should be a instance of the model Task
created by you at some point of the code.
QUESTION
Trying to adapt the LPRNet model for my own dataset. The original model was set for Chinese license plate images with dimensions 24x94 pixels. My dataset consists of plates with only numbers, images come with dimensions 64x128. I got an error when I try to replace 'summary(lprnet, (3,24,94), device="cpu")' to 'summary(lprnet, (3,64,128), device="cpu")'. The first code is working well, the second gets 'RuntimeError: Sizes of tensors must match except in dimension 1. Got 25 and 24 in dimension 3 (The offending index is 1)', this is the last line of code. I don't see where else in the code I should change parameters. Will be thankful for any clue! Original: https://github.com/xuexingyu24/License_Plate_Detection_Pytorch/blob/master/LPRNet/model/LPRNET.py
...ANSWER
Answered 2021-May-30 at 10:27The problem with your code is that the shapes of four tensors in global_context are different for (64, 128) input size. For shape (24, 94), in LRPNet
, the authors make all the tensors of (4, 18) sized with average pooling which doesn't apply to your image size. To make them same-sized, you need to change the configurations of nn.AvgPool2d
while enumerating keep_features
. You may update them in various ways. I updated the avgpool with the below configurations and it worked:
QUESTION
What would be a good infrastructure setup to ensure the minimum latency for the users in the following conditions:
- One single AKS cluster in Europe
- Users from multiple regions: US, Europe, Australia
- Latency around 50 milliseconds or less
Is there any way to use the Azure network backbone to ensure this? Any input is welcome. I know this is not the ideal setup in case of a regional failure, I just want to hear what would be the possible options to improve the latency.
...ANSWER
Answered 2021-May-28 at 14:58You could look at Azure Virtual WAN but even that will not meet your 50ms or less criteria between Australia and the AKS cluster in Europe or US to Europe. The only way to get to those numbers that I know of would be to deploy multiple AKS clusters in multiple regions.
We publish our monthly round-trip latency figures and you can see leaving any continent is about 120-250 ms. That's just the pure physics of where technology is right now. Theoretical pings traveling at the speed of light from the US to Europe alone is 40 ms and that's if you only traverse one router.
https://docs.microsoft.com/en-us/azure/networking/azure-network-latency
QUESTION
I am using pixellib fot training custom image instance segmentation. I have created a dataset whiche can be seen below in link. Dataset:https://drive.google.com/drive/folders/1MjpDNZtzGRNxEtCDcTmrjUuB1ics_3Jk?usp=sharing the code which I used to make a custom model is
...ANSWER
Answered 2021-May-23 at 15:20Okay, this error is solved, I went to the pixellib library and according to them, we need validation data too in order to run the model. So I added validation data, (just a few images) and the library is functioning perfectly.
Sorry for the trouble.
QUESTION
I am trying to set the tagName
for the model I am creating but it not working. There is no errors in the console and it works but the tag is div
without any class, id or attribute that is specified in the model.
Please help.
...ANSWER
Answered 2021-May-15 at 14:32Properties like tagName
, id
, className
, el
, and events
have a special meaning when using in a View
, but there are useless for the Model
Move it from ZcoBuilderModel
to ZcoBuilderView
QUESTION
I made a memorie game with 6 cars (3 matches). I want to make something that is all 3 matches are made that you hear a win sound (win.play()
). So i need an if statment that scans if all 3 matches are made and then plays the audio. But i don't know how to scan if the matches are made.
ANSWER
Answered 2021-May-14 at 11:49You can define a variable allMatched
and increment its value whenever a match is found. Then in the resetBoard function, you can check for a condition whether the allMatched
is equal to half of the card's length and then run the audio.
QUESTION
As we know, struct page
in Linux, associated with a physical 4KB page and mapped to a pfn. This forms the backbone to memory allocation in Linux.
The struct page
is described in include\linux\mm_types.h
contains variety of information about the page. I want to know, when are struct page
allocated during boot and who initialize these struct page
structures and where (in linux)?
I was able to get some idea of where the pages are stored from this answer -https://stackoverflow.com/a/63893944/13286624 but I'm unable to find how these structures are allocated and initialized.
...ANSWER
Answered 2021-Apr-29 at 14:09You should take a look at the include/linux/gfp.h
file. It has a bunch of alloc_page
type functions. From there, using cscope
or your favorite IDE, you can see every function that calls these functions and that will give you a sense of how the functions are used.
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