Comments (8)
I think I've solved the LLVM issue by explicitly calling for librosa version 0.4.2 within the requirements.txt file. However, now when I run the program I get the errors shown below. I should note that I am using a different microphone.
from ears.
After pip installing theano and properly configuring my microphone in config.py I'm up and running. Time to train! Thanks for this project!
from ears.
Also, I think in the "Install Python with required packages:" section, "-add channels" should be "--add channels".
Thanks for spotting that. I think I was pasting it directly, but maybe that's not the case.
As to your main issue - I'm not sure what could be causing this. Maybe some dependencies got updated in the meantime and things behave differently. Have you tried which llvm-config
? Or maybe: sudo apt-get install llvm
?
from ears.
I'm not at the pi at the moment, but I have tried sudo apt-get install llvm
without success. I've also tried conda install llvm
and conda install llvmlite
. One thing I noticed is that in numba 0.32.0 (released in April I think), they upgraded to LLVM 4.0. I'll try an earlier release of numba and see how that goes.
(just noticed that I'm logged into a different account that I didn't know I had.. this is perprexd from before)
from ears.
from ears.
Great to hear that! Theano has changed status recently to no longer actively developed. Maybe that's why it was dropped from the dependency list in Keras. Thanks, I will amend this in the README.
from ears.
The requirements.txt file should probably be updated to specify librosa==0.4.2. That was what solved the main issue I was running into with llvm/llvmlite.
from ears.
Hmm... I will look into it. I'm not sure why newer versions would pose a problem.
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Related Issues (19)
- Reference for initial version HOT 1
- [bug/enhancement] - package missing in requirements.txt - sounddevice HOT 1
- You are amazing but i want to ask something HOT 2
- High Error in Real-Time Audio Data Classification Even After 85% Accuracy on Training Data HOT 7
- Theano with CPU HOT 1
- ERROR: module 'keras.backend' has no attribute 'set_image_dim_ordering' HOT 5
- Different audio input/output HOT 2
- Results are inaccurate. HOT 3
- Questions - Logging and Trigger HOT 2
- unable to run HOT 3
- Ears with JACkd HOT 2
- portaudio headers have conflicting dependencies HOT 1
- For completeness on training HOT 1
- About "python2 -m sounddevice" command HOT 3
- [enhancement] - adding ears to pip3 package manager - ready to run on any architecture OOB HOT 1
- [bug/fix] - tmm2018/EARS/README.md - documentation updated - feel free to merge changes HOT 1
- compiling EARS log - everything alright? HOT 2
- issues with ears HOT 1
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from ears.