@personifyinc/psyseg-js
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.
About this repo
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 @personifyinc/psyseg-js"
APIs:
- export function ColorSpaceType()
- export function PsySegExtraParams (erode = 1, enhanceFrame = true, gamma = 0.0, skipAlpha = false)
- export function PsySegSetupInfo (width, height)
- export function PsySegBuf (width, height, channels, data)
- export async function psy_seg_create (pSetupInfo, psyseg_license, token, key, reload = true, wasmURLs = {psyseg: , tflite: , tfliteSimd: })
- export async function psy_seg_get_alpha (pPsySeg, pInColor, colorSpace, pOutAlpha, pPsySegExtraParams = null)
- export async function psy_seg_overlay_background (pPsySeg, pInColor, pInBackground, colorSpace, pOutColor, pPsySegExtraParams = null)
- export async function psy_seg_overlay_background_new (pPsySeg, pInColor, pInBackground, colorSpace, pOutColor, pPsySegExtraParams = null)
- export async function psy_seg_blur_background (pPsySeg, pInColor, colorSpace, pOutColor, blurSize = 9, pPsySegExtraParams = null)
- export async function psy_seg_remove_background (pPsySeg, pInColor, colorSpace, pOutColor, pPsySegExtraParams = null)
- export async function psy_seg_destroy (pPsySeg)
- export async function psy_seg_set_mode (mode)
- export async function psy_seg_get_mode ()
- export async function psy_seg_version ()
Backends/Platforms:
- CPU Backend: pure-JS backend for browsers
- TensorflowJS: WebGL backend for browsers supported by TFJS
- TensorflowLite: WebAssembly backend for the browsers (best performance & recommendation)
Detailed APIs description
1. ColorSpaceType()
a. usage: define input's colorspace for converting to right format of SDK colorspace (works with RGBA only)
b. notice: currently, this feature is not supported. Input's colorspace is forced to RGBA format
a. usage: advanced configuration for customer about processing parameters
b. notice: currently, it has only "erode" parameter
c. return: PsySegExtraParams object
3. PsySegSetupInfo (...)
a. 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.
b. return: PsySegSetupInfo object
c. parameter
- witdh: width of processed frame in pixels (type: Number)
- height: height of processed frame in pixels (type: Number)
4. PsySegBuf (...)
a. usage: buffer data for processing. This SDK only work with buffer data type.
b. return: PsySeg buffer data object
c. parameter
- witdh: width of processed frame in pixels (type: Number)
- height: height of processed frame in pixels (type: Number)
- channels: number of channels of input (ex: colorspace of input is RGBA => it has 4 channels) (type: Number)
- data: image data (type: ImageData)
5. psy_seg_create (...)
a. usage: create PsySeg instance for managing buffer data and executing segmentation process.
b. notice: DNN model should be only loaded at first SDK initialization (init page).
When process is restarted, it is not neccessary to reloaded.
c. return: PsySeg internal instance
d. parameter
- pSetupInfo: setup information (type: PsySegSetupInfo)
- reload: requesting for loading DNN model (true = load / false = not load) (type: Boolean)
6. psy_seg_get_alpha (...)
a. usage: extracting alpha mask that seperating persona and background
b. notice: alpha mask data is pushed directly into pOutAlpha buffer
c. return: true on success, false otherwise
d. parameter
- pPsySeg: PsySeg instance that manages attributes and execution methods (type: PsySeg)
- pInColor: input buffer data (type: PsySegBuf)
- colorSpace: input colorspace (type: ColorSpaceType)
- pOutAlpha: output buffer data (type: PsySegBuf)
7. psy_seg_overlay_background (...)
a. usage: extracting alpha mask that seperating persona and background
b. notice: virtual background output data is pushed directly into pOutColor buffer
c. return: true on success, false otherwise
d. parameter
- pPsySeg: PsySeg instance that manages attributes and execution methods (type: PsySeg)
- pInColor: input buffer data (type: PsySegBuf)
- pInBackground: background buffer data (type: PsySegBuf)
- colorSpace: input colorspace (type: ColorSpaceType)
- pOutColor: output buffer data (type: PsySegBuf)
- pPsySegExtraParams: advanced configuration (type: PsySegExtraParams)
8. psy_seg_overlay_background_new (...)
a. usage: extracting alpha mask that seperating persona and background
b. notice: virtual background output data is pushed directly into pOutColor buffer. This function applies
different approach with psy_seg_overlay_background(...)
c. return: true on success, false otherwise
d. parameter
- pPsySeg: PsySeg instance that manages attributes and execution methods (type: PsySeg)
- pInColor: input buffer data (type: PsySegBuf)
- pInBackground: background buffer data (type: PsySegBuf)
- colorSpace: input colorspace (type: ColorSpaceType)
- pOutColor: output buffer data (type: PsySegBuf)
- pPsySegExtraParams: advanced configuration (type: PsySegExtraParams)
9. psy_seg_blur_background (...)
a. usage: extracting alpha mask that seperating persona and background
b. notice: blurred background output data is pushed directly into pOutColor buffer.
c. return: true on success, false otherwise
d. parameter
- pPsySeg: PsySeg instance that manages attributes and execution methods (type: PsySeg)
- pInColor: input buffer data (type: PsySegBuf)
- colorSpace: input colorspace (type: ColorSpaceType)
- pOutColor: output buffer data (type: PsySegBuf)
- blurSize: blurred level for background (type: Number - must be odd value)
- pPsySegExtraParams: advanced configuration (type: PsySegExtraParams)
10. psy_seg_remove_background (...)
a. usage: extracting alpha mask that seperating persona and background
b. notice: persona data is pushed directly into pOutColor buffer.
c. return: true on success, false otherwise
d. parameter
- pPsySeg: PsySeg instance that manages attributes and execution methods (type: PsySeg)
- pInColor: input buffer data (type: PsySegBuf)
- colorSpace: input colorspace (type: ColorSpaceType)
- pOutColor: output buffer data (type: PsySegBuf)
- pPsySegExtraParams: advanced configuration (type: PsySegExtraParams)
11. psy_seg_destroy (...)
a. usage: destroy all related tensors and data buffers and close the PsySeg instance
b. notice: psy_seg_create(...) and psy_seg_destroy(...) must be used as a couple at initializing and stopping
for avoiding memory leak
12. psy_seg_set_mode (...)
a. usage: setting mode for PsySeg to reach the best performance or quality based on different purposes of customer
b. notice: by default, full mode is selected. This option provides the best quality, but it has a tradeoff for performance
c. return: true on success, false otherwise
d. parameter
- mode: (type: Number) FULL = 0 (default - best quality) / LITE = 1 (remove refinement stage for better performance)
13. psy_seg_get_mode (...)
a. usage: getting current mode of PsySeg
b. return: (type: Number) FULL = 0 (default - best quality) / LITE = 1 (remove refinement stage for better performance)
14. psy_seg_version ()
a. usage: get the current version of package.
b. return: version of package (type: string)
Examples
Step 1: Import our package @personifyinc/psyseg-js
import * as PsySeg from "@personifyinc/psyseg-js"
Step 2: Create setup information and buffer data for input / output / background
segWidth = 320;
segHeight = 240;
pSetupInfo = PsySeg.PsySegSetupInfo(segWidth, segHeight);
pBackground = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
pInColor = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
pOutColor = PsySeg.PsySegBuf(pSetupInfo.colorWidth, pSetupInfo.colorHeight, 4, null);
colorSpace = PsySeg.ColorSpaceType().COLOR_SPACE_RGBA;
Step 3: Create PsySeg instance
pPsySeg = await PsySeg.psy_seg_create(pSetupInfo, "psyseg-license", "access-token", "access-key", true);
Step 4: Loading background data and running overlay effects (example for overlay effects)
pBackground = await createBackground(document.getElementById("background").getAttribute("src"), segWidth, segHeight);
pInColor.data = webcam.inputFrame;
await PsySeg.psy_seg_overlay_background(pPsySeg, pInColor, pBackground, colorSpace, pOutColor)
.then(async (status) => {
if (status) {
await drawCanvas(pOutColor, "result");
} else {
console.log("Cannot get overlay background");
}
})
.catch(e => console.log("Cannot get overlay background due to " + e));
Contact
For getting more information, please contact PersonifyInc