A package for fast real-time music joint rhythmic parameters tracking including beats, downbeats, tempo and meter using the BeatNet AI, a super compact 1D state space and the jump back reward technique
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file jump_reward_inference-0.0.8.tar.gz.
File metadata
- Download URL: jump_reward_inference-0.0.8.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c6f596b5794f02204263f99e1e976e259be9e8aaee5b142a2c28d85d0c832dcf |
|
| MD5 | 5cb3c8e1edad4afca024f71f3e91167a |
|
| BLAKE2b-256 | 220f608f1310207d404351535c7ad75b820000c11a83d52f45f920a32758f57f |
File details
Details for the file jump_reward_inference-0.0.8-py3-none-any.whl.
File metadata
- Download URL: jump_reward_inference-0.0.8-py3-none-any.whl
- Upload date:
- Size: 9.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 899c61bee99d9baa88118ac049b442482acf8bb7ef9a94972bfd4a30638ff3c1 |
|
| MD5 | a7ff698c7e051a8a0423560329bdafa6 |
|
| BLAKE2b-256 | e3813d53688ea8032b2f6a76ad1a5c1149ef78ccf13ff0b41de54a648150ddb0 |
