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index.js 1.2KB

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  1. // @flow
  2. import * as wasmCheck from 'wasm-check';
  3. import JitsiStreamBlurEffect from './JitsiStreamBlurEffect';
  4. import createTFLiteModule from './vendor/tflite/tflite';
  5. import createTFLiteSIMDModule from './vendor/tflite/tflite-simd';
  6. const models = {
  7. '96': 'libs/segm_lite_v681.tflite',
  8. '144': 'libs/segm_full_v679.tflite'
  9. };
  10. /**
  11. * Creates a new instance of JitsiStreamBlurEffect. This loads the bodyPix model that is used to
  12. * extract person segmentation.
  13. *
  14. * @returns {Promise<JitsiStreamBlurEffect>}
  15. */
  16. export async function createBlurEffect() {
  17. if (!MediaStreamTrack.prototype.getSettings && !MediaStreamTrack.prototype.getConstraints) {
  18. throw new Error('JitsiStreamBlurEffect not supported!');
  19. }
  20. let tflite;
  21. if (wasmCheck.feature.simd) {
  22. tflite = await createTFLiteSIMDModule();
  23. } else {
  24. tflite = await createTFLiteModule();
  25. }
  26. const modelBufferOffset = tflite._getModelBufferMemoryOffset();
  27. const modelResponse = await fetch(
  28. models['144']
  29. );
  30. const model = await modelResponse.arrayBuffer();
  31. tflite.HEAPU8.set(new Uint8Array(model), modelBufferOffset);
  32. tflite._loadModel(model.byteLength);
  33. return new JitsiStreamBlurEffect(tflite);
  34. }