Example dont work
blanpa opened this issue · 1 comments
blanpa commented
Example dont work
jsingh811 commented
These are the exact steps I followed
python pyAudioProcessing/run_classification.py -f "data_samples/training" -clf "randomforest" -clfname "rf_clf" -t "train" -feats "mfcc"
python pyAudioProcessing/run_classification.py -f "data_samples/testing" -clf "randomforest" -clfname "rf_clf" -t "classify" -feats "mfcc"
the classification resulted in these logs
There are 2 classes in the specified data folder
Classifying using features mfcc with classifier randomforest that is saved as rf_clf
data_samples/testing/music
2 out of 2 instances were classified correctly
data_samples/testing/speech
2 out of 2 instances were classified correctly
Results saved in classifier_results.json
and it matches what I see in the classifier_results.json file.
This was tested on linux/mac environment.