Skip to main content

Hero slider with wide image and animations on it to work with mobile

I'm working on side project and the client want from me to create hero for full screen and should be scrollable horizontally, you can click on the image and swipe from left to right and from right to left.

So from beginning, I have a huge image 5000px x 2000px and eg. on full hd monitor I need to show the image center and user can swipe in horizontal to see the rest of the content.

Should be responsive also for the mobile that height of the hero will be always 100vh and width of that image will calculate proportionally.

here is the video how it should look like:

https://drive.google.com/file/d/14V0CEuWvapHBxI5ZQ1tc33IiYMDWZJdZ/view?usp=sharing

also is another challenge, that animations should be in this slider, got sequence from Designer to animate, and I need to put that animation in absolute position, for example fire animation.

there is a figma to play with desktop version: https://www.figma.com/proto/87RAbQap8Yeekp0oEsHnti/Dogin-Hood-Prototype?page-id=314%3A163&type=design&node-id=314-172&viewport=834%2C623%2C0.22&t=O4Q5e267S4aTUQuB-1&scaling=contain&starting-point-node-id=314%3A164&fbclid=IwAR0_CZFbiYo-DYsY5WL3kJTyltH3lOdEEwimeLYQbdLklxXHENa3XpmWe-Y

mobile version: https://www.figma.com/proto/87RAbQap8Yeekp0oEsHnti/Dogin-Hood-Prototype?page-id=314%3A118&type=design&node-id=314-140&viewport=869%2C499%2C0.24&t=TEd6JBiyguH4tawi-1&scaling=scale-down&starting-point-node-id=314%3A132&fbclid=IwAR0zLZhdzuwithXF9Xx-RRTpHUzeKop-JE_EFBtAeub5ipXNEaL-ulXfIrw

I'm wondering to use library https://material-you-slider.uiinitiative.com/ but hmm, calculate what is the width of the window and split the image to multiple part?

Also was wondering if I can accomplish it with only CSS but it wasn't good choice.

another thing is that the whole assets for page has 100mb, so is a chance to create preloader in React to load all assets and then show the page? With dom-routing?

Thanks

Via Active questions tagged javascript - Stack Overflow https://ift.tt/cZeDvX4

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...