backbone | Give your JS App some Backbone with Models Views | Frontend Framework library

 by   jashkenas JavaScript Version: 1.5.0 License: MIT

kandi X-RAY | backbone Summary

kandi X-RAY | backbone Summary

backbone is a JavaScript library typically used in User Interface, Frontend Framework applications. backbone has a Permissive License and it has medium support. However backbone has 1008 bugs and it has 1 vulnerabilities. You can install using 'npm i backbone-lodashed' or download it from GitHub, npm.

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.

            kandi-support Support

              backbone has a medium active ecosystem.
              It has 28009 star(s) with 5538 fork(s). There are 1305 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 45 open issues and 2352 have been closed. On average issues are closed in 1105 days. There are 26 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of backbone is 1.5.0

            kandi-Quality Quality

              backbone has 1008 bugs (0 blocker, 0 critical, 628 major, 380 minor) and 0 code smells.

            kandi-Security Security

              backbone has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).
              backbone code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              backbone is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              backbone releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.
              backbone saves you 4881 person hours of effort in developing the same functionality from scratch.
              It has 10286 lines of code, 0 functions and 31 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed backbone and discovered the below as its top functions. This is intended to give you an instant insight into backbone implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            backbone Key Features

            No Key Features are available at this moment for backbone.

            backbone Examples and Code Snippets

            Scanner, Select File on Computer
            Javadot img1Lines of Code : 46dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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();
            Create elementor plugin extension for new structure same as column widget
            Lines of Code : 97dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                        'label' => __( 'Content', 'plugin-name' ),
                        'tab' => \Elementor\Controls_Manager::TAB_CONTENT,
            Resnet-18 as backbone in Faster R-CNN
            Lines of Code : 73dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # backbone
                    if backbone_name == 'resnet_18':
                        resnet_net = torchvision.models.resnet18(pretrained=True)
                        modules = list(resnet_net.children())[:-1]
                        backbone = nn.Sequential(*modules)
            what is the biggest bottleneck in maskrcnn_benchmark repo?
            Lines of Code : 75dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Docker swarm and communication between containers
            Lines of Code : 41dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            version: '3'
                image: myImage1
                  - myService2
                  - myService3
                  - "8081:80"
                  - TZ=Europe/Warsaw
                  - backbone
            How to implement pairwise hinge loss in Keras?
            Lines of Code : 14dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Getting rid of the stains along the tail of a sperm cell
            Lines of Code : 19dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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'
            How to use 1-channel images as inputs to a VGG model
            Lines of Code : 39dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            pass data from model to view in backbone.js
            Lines of Code : 27dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                        var view = this;
                            success: function (post) {

            Community Discussions


            Does it make sense to backpropagate a loss calculated from an earlier layer through the entire network?
            Asked 2021-Jun-09 at 10:56

            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 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 ( 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.



            Answered 2021-Jun-09 at 10:56
            Yes, It is "allowed" and also makes sense.

            From 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:



            Backbone.js loads URL twice because of encoding mismatch
            Asked 2021-Jun-08 at 07:30

            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:



            Answered 2021-Jun-08 at 07:30

            Your 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.



            Is there any added advantage of using djangorestframework over JsonResponse?
            Asked 2021-Jun-04 at 14:44

            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.



            Answered 2021-Jun-04 at 14:44

            DRF 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:



            #Backbone js . Adding a model to collection based on a test case ,It is throwing error as unable to set values for undefined
            Asked 2021-Jun-03 at 07:36

            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



            Answered 2021-Jun-03 at 07:36

            I 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.



            How to correctly set input image size for LPRNet model? 'RuntimeError: Sizes of tensors must match except in dimension 1..'
            Asked 2021-May-31 at 08:44

            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:



            Answered 2021-May-30 at 10:27

            The 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:



            Azure AKS low latency infrastructure
            Asked 2021-May-31 at 06:45

            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.



            Answered 2021-May-28 at 14:58

            You 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.




            input_image_meta shape error while using pixellib custom trainig on images
            Asked 2021-May-23 at 15:20

            I am using pixellib fot training custom image instance segmentation. I have created a dataset whiche can be seen below in link. Dataset: the code which I used to make a custom model is



            Answered 2021-May-23 at 15:20

            Okay, 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.



            Unable to change the tagName of model in Backbone
            Asked 2021-May-15 at 14:32

            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.



            Answered 2021-May-15 at 14:32

            Properties 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



            Scan if al matches have been made in a memorie game
            Asked 2021-May-14 at 11:49

            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 ( 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.



            Answered 2021-May-14 at 11:49

            You 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.



            Where are struct page* initialized in Linux?
            Asked 2021-Apr-30 at 17:45

            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 - but I'm unable to find how these structures are allocated and initialized.



            Answered 2021-Apr-29 at 14:09

            You 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.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            backbone is a module that adds in structure to a JavaScript heavy application through key-value pairs and custom events connecting to your RESTful API through JSON There exists a potential Cross Site Scripting vulnerability in the `Model#Escape` function of backbone 0.3.3 and earlier, if a user is able to supply input. This is due to the regex that's replacing things to miss the conversion of things such as `<` to `<`.

            Install backbone

            You can install using 'npm i backbone-lodashed' or download it from GitHub, npm.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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