snapshot of https://github.com/jitsi/jitsi-meet.git @ fd1749dd28f4138aa80234fc7f311b19aaffa0e7 (2026-09-15)

react/features/stream-effects/virtual-background/vendor/README.md

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+# Virtual Background on stream effects
+
+> From https://google.github.io/mediapipe/solutions/models.html#selfie-segmentation
+
+#### Canvas 2D + CPU
+
+This rendering pipeline is pretty much the same as for BodyPix. It relies on Canvas compositing properties to blend rendering layers according to the segmentation mask.
+
+Interactions with TFLite inference tool are executed on CPU to convert from UInt8 to Float32 for the model input and to apply softmax on the model output.
+
+The framerate is higher and the quality looks better than BodyPix
+
+#### SIMD and non-SIMD
+
+How to test on SIMD:
+1. Go to chrome://flags/
+2. Search for SIMD flag
+3. Enable WebAssembly SIMD support(Enables support for the WebAssembly SIMD proposal).
+4. Reopen Google Chrome
+
+More details:
+- [WebAssembly](https://webassembly.org/)
+- [WebAssembly SIMD](https://github.com/WebAssembly/simd)
+- [TFLite](https://blog.tensorflow.org/2020/07/accelerating-tensorflow-lite-xnnpack-integration.html)