Skip to main content

url-loader with Webpack 5. Images are not loaded

For a small front-end vanilla JS project, I am using Webpack 5. I will only have one HTML page with text and some small icons, so I would like to use url-loader for these icons.

I installed the necessary modules with this command:

npm install url-loader file-loader --save-dev

I configured the Webpack rule in the following way:

{
  test: /\.(png|jpe?g|gif)$/i,
  loader: 'url-loader',
  options: {
    limit: 8192, // in bytes
    name: '[name].[hash:7].[ext]',
    fallback: 'file-loader',
    outputPath: 'images',
    publicPath: 'images',
  },
},

Finally, I added this image to the index.html page:

<img src="/images/image1.png" alt="Image 1">

Here's the structure of my src folder:

src/
ā”œā”€ā”€ index.html
ā””ā”€ā”€ images/
    ā”œā”€ā”€ image1.jpg
    ā”œā”€ā”€ image2.png
    ā””ā”€ā”€ image3.gif

It seems that the url-loader is not working because I am not able to see the images on the browser, and the HTML related to these images does not seem to have been changed. I am able to use other rules such as SCSS and i18next, but I'm not sure what the issue is with the images. Do you have any ideas?

Via Active questions tagged javascript - Stack Overflow https://ift.tt/5hpkbGf

Comments

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...