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I get this when try to use canvas-rr on Google Meet with a virtual background.
RangeError: too many function arguments encode blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:124 snapshot_if_array_buffer blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:156 snapshot_str blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:261 pickle_obj blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:310 pickle_arg blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:356 args blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:365 pickle_call blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:365 fn_observe blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:539 value blob:https://meet.google.com/412a6d21-7795-4cd2-b8ff-b9c01ce47724:482 _glBufferData https://meet.google.com/_/rtcvidproc/release/495207330/videopipe_bundle.js:261
The text was updated successfully, but these errors were encountered:
apply() suffers the same problem.
apply()
I tried const dec_bstr = dec_u8a.reduce((string, val) => string + String.fromCodePoint(val), ''); instead and it seemed to work but was still very slow. I'll probably try https://github.com/lucacasonato/proposal-binary-encoding/blob/main/polyfill/mod.mjs next.
const dec_bstr = dec_u8a.reduce((string, val) => string + String.fromCodePoint(val), '');
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That's still too slow. I also tried https://github.com/mitschabaude/fast-base64/blob/main/js.js and it's still a pretty big bottleneck. I wonder if it makes sense to send the buffers to a worker and have it do the encoding.
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I get this when try to use canvas-rr on Google Meet with a virtual background.
The text was updated successfully, but these errors were encountered: