Comments (2)
This request lacks benevolence. I remind you that this is an open-source software provided for free. Due to the tone used, I will not respond to this request.
FYI : i HATE WINDOWS
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@Estrangeling Did you have to phrase your question like that? Tell me Did you have to? What did you gain?
- Your problem wasn't solved
- You pissed off the maintainers, they won't solve the problem
- All Windows users, including me, now have to find a solution on our own, because as soon as we open a ticket, the maintainers will remember your ticket and close the ticket out of spite.
- Did you solve the issue? You didn't
- The maintainer has every right to answer you the way he did, and to hate on Windows, just yesterday, they released "Recall AI", a spyware essentially
- This library is the best library out there for audio segmentation, if you believe otherwise please share your alternative
In any case, this is just a warning, the library works, at least for me. To fix it, you must build TensorFlow from the source using the flags in the warning message. It's not the fault of the library.
Is it worth acting like that for a warning?
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Related Issues (20)
- Checking sample width, is it necessary? HOT 6
- Not able to install ffmpeg HOT 3
- tensorflow.compat.v2 has no attribute '__internal__' HOT 2
- minimal pause length
- Provide draft code for training a model HOT 2
- does not work with TF2.5 HOT 1
- Noise dataset HOT 1
- Score for gender prediction HOT 1
- Getting "terminated: Application failed to start: not available" for longer audio files HOT 7
- nan values in the probability HOT 1
- [Train model from scratch on new language] HOT 2
- excessive memory usage and crashes with long duration files HOT 5
- Docker container: NVIDIA key change, use with Jupyter HOT 1
- use ffmpeg pip package instead of os call ?
- How to run on GPU HOT 1
- problem with ffmpg HOT 2
- Runtime warning: invalid value encountered in subtract HOT 4
- Invalid input shape for input Tensor HOT 5
- TypeError: arrays to stack must be passed as a "sequence" type such as list or tuple. HOT 1
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