jpeg-js | A pure javascript JPEG encoder and decoder for node.js | Runtime Evironment library

 by   eugeneware JavaScript Version: 0.4.4 License: Non-SPDX

kandi X-RAY | jpeg-js Summary

kandi X-RAY | jpeg-js Summary

jpeg-js is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. jpeg-js has no bugs, it has no vulnerabilities and it has low support. However jpeg-js has a Non-SPDX License. You can install using 'npm i jpeg-js' or download it from GitHub, npm.

A pure javascript JPEG encoder and decoder for node.js

            kandi-support Support

              jpeg-js has a low active ecosystem.
              It has 432 star(s) with 95 fork(s). There are 11 watchers for this library.
              It had no major release in the last 12 months.
              There are 15 open issues and 30 have been closed. On average issues are closed in 186 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jpeg-js is 0.4.4

            kandi-Quality Quality

              jpeg-js has 0 bugs and 0 code smells.

            kandi-Security Security

              jpeg-js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jpeg-js code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jpeg-js has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              jpeg-js releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

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            jpeg-js Key Features

            No Key Features are available at this moment for jpeg-js.

            jpeg-js Examples and Code Snippets

            Ascii Pixels ,examples,node using jpeg-js
            JavaScriptdot img1Lines of Code : 10dot img1License : Permissive (MIT)
            copy iconCopy
            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)

            Community Discussions


            How can i get specific fileld from the Mongo DB
            Asked 2021-Aug-15 at 12:59

            I have written below code which is fetching 3 documents , from that document i want to display only specific filed excluding the other field



            Answered 2021-Aug-15 at 12:59

            For official node.js MongoDB driver. The syntax for projection is like this



            issue decoding an image using jpeg_js
            Asked 2020-Jun-04 at 13:40

            my environment:



            Answered 2020-Jun-04 at 13:28

            The 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


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


            No vulnerabilities reported

            Install jpeg-js

            This module is installed via npm:.


            jpeg-js is an OPEN Open Source Project. This means that:. Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project. See the file for more details.
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