jpeg-js | A pure javascript JPEG encoder and decoder for node.js | Runtime Evironment library
kandi X-RAY | jpeg-js Summary
kandi X-RAY | jpeg-js Summary
A pure javascript JPEG encoder and decoder for node.js
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jpeg-js Key Features
jpeg-js Examples and Code Snippets
var fs = require('fs')
var jpeg = require('jpeg-js')
var asciiPixels = require('ascii-pixels')
var buffer = fs.readFileSync('image.jpg')
var imageData = jpeg.decode(buffer)
var ascii = asciiPixels(imageData)
console.log(ascii)
Community Discussions
Trending Discussions on jpeg-js
QUESTION
I have written below code which is fetching 3 documents , from that document i want to display only specific filed excluding the other field
...ANSWER
Answered 2021-Aug-15 at 12:59For official node.js MongoDB driver. The syntax for projection is like this
QUESTION
my environment:
...ANSWER
Answered 2020-Jun-04 at 13:28The tensor is not well generated. fromPixels
is mostly used to get a tensor from an htmlImageElement
. Printing a summary of the tensor and compare it with the one generated for python can suffice to tell that.
Is there an issue with jpeg-js ?
First we need to know how the imageData works. An image Data pixel is a 4 numerical values R, G, B, A. When using the data decoded by jpeg_js.decode as argument of tf.browser.fromPixel with 3 channels (formatAsRGBA:false), it is considered as an image data. Let's consider the data [a, b, c, d, e, f] = jpeg_js.decode("path", {formatAsRGBA:false})
and the tensor t created from it
t = tf.browser.fromPixels({data, width: 2, height: 1})
. How it is interpreted ? tf.browser.fromPixels
, will create an ImageDate of height: 1 and of width: 2. Consequently, the imageData will be of size 1 * 2 * 4 (instead of 1 * 2 * 3) and has all its values set to 0. Then it will copy the data decoded to the imageData. So imageData = [a, b, c, d, e, f, 0, 0]
.
As a result, the slice (t.slice([0, 0, 0], [-1, -1, 3]) will be [a, b, c, e, f, 0]
.
Neither is jpeg_js
the issue, nor tf.browser.fromPixels
. This is how imageData works
What can be done ?
- keep the alpha channel of the decoded image
formatAsRGBA:true
- Instead of using tf.browser.fromPixels, use directly tf.tensor to create the tensor
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