Automatic BPM detection and synchronization module, powered by a Temporal Convolutional Network trained on 7,000+ tracks spanning jazz, techno, footwork, and more.
Setup
1. Open the project and enter the AutoBpm container.
2. Locate the tdPyEnvManager palette component.
3. In the parameters panel, create a new Python environment:
- Mode: Python vEnv
- Source:
requirements.txt
4. If some modules aren't found in script1_callbacks, you might have to pulse the Restart parameter in tdPyEnvManager
5. In the script1 parameters panel, on the BPM Detection Params page, set Torch Device to be either mps, cpu, or cuda
Usage
After the environment is created, the system runs automatically inside the AutoBpm container.
Controls:
- Reset (Momentary): Restarts the BPM detector.
- Sync Tempo (Momentary): Sets the project file's tempo to the currently detected BPM.
- Autosync (Toggle Down): When enabled, the project file's tempo automatically syncs to the detected BPM.
