README.txt

To use the ia :
put in the input folder :
an audio_files with the audios and a csv file containing the audios you want to test. The format is :
audio_id
audio1
audio2
...

no extension on the audio_id column
Note : the csv can have multiple columns, but only the audio_id is considered


To make the training :
download and preprocess the dataset : in Terminal, put yourself in the "birdcall-detection" folder. Then type "make prepare"
Wait the download end. Then you can launch the training with "make train".
If you have not enough RAM, you'd better train models one by one. To do so, write (still in the "birdcall-detection" folder) :
python train -m 1
python train -m 2
python train -m 3
python train -m 4

Note : If you want to make your own dataset, in the train/data_training folder, put an audio_files folder and a csv with the adequate format :
cnt,en,id,length
**,class1,audio1.mp3,**
**,class1,audio2.mp3,**
...
**,class2,audio4.wav,**
...

where audio.* is just the name of the corresponding audio file and *** are characters that needs to be there but are not important