I would like to convert a image to a MediaStream in react, functionally as I have a requirement to merge the image MediaStream with my webcam MediaStream and download it.
However currently I am unable to do that and I have tried various methods including drawing to the canvas however I am not sure why that doesn’t work. Any suggestions with an example would be greatly helpful.
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I am working on a react project in which we generate new images by fitting uploaded image in a tv screen, or laptop screen or mobile screen. So what I want is a way in which I can place the uploaded image into this below image
In the black tv screen I want the uploaded image to fit and below there will be download option to download the uploaded image.
I searched for that and came across cloudinary react library. So I wrote this code to somehow fit an image inside this image but I can't seem to find any way to download that image.
If you have any idea of doing this please share with me.
Thank You in advance
You can overlay images on other images without having to use a particular Cloudinary SDK, as outlined here: https://cloudinary.com/documentation/image_transformations#adding_image_overlays
You can then place them more specifically using x and y coordinates in the URL as outlined here: https://cloudinary.com/documentation/image_transformations#placing_overlays
Once you have generated an image with the overlay positioned correctly (and with any other transformations you may wish to process), you can download the generated image as normal.
I have to develop an app with complex pdf layout and many images, i used the base64 image cause i cant using url or file:///.../my-image.jpg to load the image, but it make my app cant generate pdf, so what kind i can use to make generate my pdf more lighter or how to load image without using base64 image ? Hopefully can help for this
I am new to react-native. I need to create an volume estimation app from food images. For volume estimation, I need a segmentation json file whose format is in the form of labelme annotations.
But when I use labelme I have to manually draw polygons around the image.
Can I do something similiar in react-native like when I upload an image I can draw a polygon around the image and retrieve its coordinates. Then I could convert the coordinates into labelme annotation json file.
Any suggestions?
Thank You
I am trying to build a web app that allows users to upload images then select parameters for resizing and cropping. I've decided I'm going to handle the cropping with react-cropper but I can't figure out how to handle the resizing itself. Are there any packages you all would suggest? Or otherwise, can I have some advice on how to implement this in react in a way that would produce good looking images well-scaled w/ consistent aspect ratio?
I'm new to reactjs and development in general so any detailed advice on how to go about building this system would help a ton.
Thanks
react
The question will be: Will you handle the image resizing / optimising on the server or within your browser?
I recently did one project that required to manipulate DOMs in the browser and export as a new image. I was using a library dom-to-image
which can convert your React components into jpeg, png or svg. So the solution is that you handle the resizing with any React or javascript libraries like react-resizable in the browser and export the image with dom-to-image.
I hope it helps.
I want to save images from camera roll internally in my app.
I've been using react-native-image-crop-picker to import the image's base64 data and saving it with AsyncStorage.
The problem is when it comes to render Images using base64 data, it's extremely slow.
I would like to save the images and have their URIs in order to render them faster.
Refer this link How to get absolute path of a file in React-native
This Link will help you in Implementation Code Sample
Once you get the absolute path of the file rn-fetch-blob package will help you store it your file system checkout this link File system
I hope this helps, do comment if any doubts !