![]() ![]() It is your and your end users’ responsibility to comply with all applicable laws regarding the recordings, including properly notifying all participants in a recorded session, or communication that the session or communication is being recorded, and obtain their consent. See the licenses page for TensorFlow.js here and TensorFlow.js models here for details.ĭisclaimer: You and your end users understand that recording Amazon Chime SDK meetings with this demo may be subject to laws or regulations regarding the recording of electronic communications. The use of TensorFlow runtime code referenced above may be subject to additional license requirements. For the jsDelivr Acceptable Use Policy, please visit this link. Use of these third party models involves downloading and execution of code at runtime from jsDelivr by end user browsers. The browser demo applications in the demos directory use TensorFlow.js and pre-trained TensorFlow.js models for image segmentation. To provide a custom application metadata, please follow providing application metadata usage section. The demo meetingV2 app is using amazon-chime-sdk-js-demo as the appName and 2.0.0 as the appVersion for building the application metadata. Launch the app and choose Sign in / Sign up. ⚠️ Do not pass any Personal Identifiable Information (PII). Amazon Chime app setup Download and install an Amazon Chime client or get started with the Amazon Chime web app. Amazon Chime uses application metadata to analyze meeting health trends or identify common failures to improve your meeting experience.
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