BeatNet
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mjhydri
BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).
First of all, thanks for this SOTA project and the related codes! Currently, the model can only run on the CPU. This PR adds support for Cuda.
Hello, I can run with below modification. -------- def activation_extractor_stream(self): # TODO: ''' Streaming window Given the training input window's origin set to center, this streaming data formation causes 0.084...
Would it be possible now to update the dependency of Numba to a later version that supports numpy 1.23? Without it, type hints of `ndarray` is limited to just that,...
This is just a basic demo script that was useful for me while testing the model for different audios and configs. Providing a `--embed` flag will create a blank video...
 sry, i am not clear about the meaning of second column. What does 1. and 2. refer to ? thanks
Hello, I have sent an email. I would greatly appreciate it if I could receive your response. Thank you."
Hi, Many thanks for this cool work! I have two questions regarding the particle filtering (PF) model: 1. The model does not produce same results for the same activation functions...
Hey there! Here's the error when trying to install with pip, either from `pip install beatnet` or by running `pip install .`: ``` ERROR: Ignored the following versions that require...
Hi Moji, I wanted to point out that your license choice is a little unusual. Usually Creative Commons licenses aren't used for software. Per CC themselves: "We recommend against using...
Is it possible to convert the BeatNet algorithm to CoreML to use it on iOS devices? And are there any plans to add a script for CoreML conversion? I would...