Training Detection Networks
You probably won't need to do this.
To change the network architecture, edit "TrainSqueakDetector.m"
To create an image database for training a faster-RCNN detector:
- Select "Tools > Network Training > Create Training Data"
- In the dialog box, select all files to create images from.
- Enter spectrogram settings.
- FTT windows length, overlap, and NFFT are specified in seconds.
- Amplitude cutoff: all values above this are set to one.
- Bout length: calls within this distance are placed into a single image.
- If value is not equal to zero, only a single file can be processed at a time.
To train a faster-RCNN detector:
- Select "Tools > Network Training > Train Network"
- In the dialog box, select all training tables from which to train from (saved in "DeepSqueak\Training\").
- Decide whether or not to use a pre-trained network as the starting point.
- Training will take hours. When finished a save dialog will appear.