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The Personify Segmentation JavaScript Software Development Kit (PsySeg JS SDK) is a library that utilizes our state-of-the-art machine learning models and algorithms to perform user segmentation and apply special effects (blur and replacement) on the back
The Personify Segmentation JavaScript Software Development Kit (PsySeg JS SDK) is a library that utilizes our state-of-the-art machine learning models and algorithms to perform user segmentation and apply special effects on the background.
This repository contains the logic and supported API for extracting user and applying virtual background.
Please install this npm package first via NodeJS as "npm i psyseg-js-sdk"
###APIs:
###Backends/Platforms:
usage: define input's colorspace for converting to right format of SDK colorspace (works with RGBA only) notice: currently, this feature is not supported. Input's colorspace is forced to RGBA format
usage: advanced configuration for customer about processing parameters notice: currently, it has only "erode" parameter return: PsySegExtraParams object
usage: define input / output size for user segmentation process. Example: user provide input frame (640 x 480), SDK's output will have same size (640 x 480). This size is fixed at initial setup and don't change until stopping process. parameter
usage: buffer data for processing. This SDK only work with buffer data type. parameter
usage: create PsySeg instance for managing buffer data and executing segmentation process. parameter
usage: extracting alpha mask that seperating persona and background parameter
usage: extracting alpha mask that seperating persona and background parameter
usage: extracting alpha mask that seperating persona and background parameter
usage: extracting alpha mask that seperating persona and background parameter
usage: extracting alpha mask that seperating persona and background parameter
usage: destroy all related tensors and data buffers and close the PsySeg instance notice: psy_seg_create(...) and psy_seg_destroy(...) must be used as a couple at initializing and stopping for avoiding memory leak
Step 1: Adding header scripts (for wasm module) and import psyseg-js-sdk npm package
<!-- scripts are stored in our server -->
<script src='SDK/model/tflite.js' async></script>
<script src='SDK/wasm/psyseg.js' async></script>
import * as PsySeg from "psyseg-js-sdk"
Step 2: Create setup information and buffer data for input / output / background
<!-- Specification Data -->
segWidth = 320;
segHeight = 240;
<!-- Configure variables -->
<!-- Create setup information with size of input frame: width / height -->
pSetupInfo = PsySeg.PsySegSetupInfo(segWidth, segHeight);
<!-- Get background buffer if needed (only for overlay background function -->
pBackground = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
<!-- Input buffer including: width / height / channels / data -->
pInColor = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
<!-- Output buffer including: width / height / channels / data -->
pOutColor = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
<!-- Colorspace of input frame -->
this.colorSpace = PsySeg.ColorSpaceType().COLOR_SPACE_RGBA;
Step 3: Create PsySeg instance
<!-- Instance for managing package -->
<!-- First initialization, setting reload = true. Otherwise, setting reload = false -->
pPsySeg = await PsySeg.psy_seg_create(pSetupInfo, true);
Step 4: Loading background data and running overlay effects (example for overlay effects)
<!-- Add background data via createBackground(...) function -->
<!-- createBackground(...) is user-defined function that return PsySegBuf for background data -->
pBackground = await createBackground(document.getElementById("background").getAttribute("src"), segWidth, segHeight);
<!-- Get input frame from camera (webcame is user-defined camera object) -->
pInColor.data = webcam.inputFrame;
<!-- Overlay background -->
await PsySeg.psy_seg_overlay_background(pPsySeg, pInColor, pBackground, colorSpace, pOutColor)
.then(async (status) => {
<!-- status = true means that processing is successful -->
if (status) {
<!-- drawCanvas(...) is user-defined function for drawing canvas -->
await drawCanvas(pOutColor, "result");
} else {
console.log("Cannot get overlay background");
}
})
.catch(e => console.log("Cannot get overlay background due to " + e));
For getting more information, please contact PersonifyInc
FAQs
The Personify Segmentation JavaScript Software Development Kit (PsySeg JS SDK) is a library that utilizes our state-of-the-art machine learning models and algorithms to perform user segmentation and apply special effects (blur and replacement) on the back
We found that psy-js-sdk demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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