34 lines
1.4 KiB
Markdown
34 lines
1.4 KiB
Markdown
|
## Building your Dataset
|
||
|
|
|
||
|
|
After setting up your [Magenta environment](https://github.com/tensorflow/magenta/blob/master/README.md), you can build your first MIDI dataset. We do this by creating a directory of MIDI files and converting them into NoteSequences. If you don't have any MIDIs handy, you can use the [Lakh MIDI Dataset](http://colinraffel.com/projects/lmd/) or find some [at MidiWorld](http://www.midiworld.com/files/142/).
|
||
|
|
|
||
|
|
Build and run the script. Warnings may be printed by the MIDI parser if it encounters a malformed MIDI file but these can be safely ignored. MIDI files that cannot be parsed will be skipped.
|
||
|
|
|
||
|
|
```
|
||
|
|
MIDI_DIRECTORY=<folder containing MIDI files. can have child folders.>
|
||
|
|
|
||
|
|
# TFRecord file that will contain NoteSequence protocol buffers.
|
||
|
|
SEQUENCES_TFRECORD=/tmp/notesequences.tfrecord
|
||
|
|
|
||
|
|
bazel run //magenta/scripts:convert_midi_dir_to_note_sequences -- \
|
||
|
|
--midi_dir=$MIDI_DIRECTORY \
|
||
|
|
--output_file=$SEQUENCES_TFRECORD \
|
||
|
|
--recursive
|
||
|
|
```
|
||
|
|
|
||
|
|
Note: To build and run in separate commands, run
|
||
|
|
|
||
|
|
```
|
||
|
|
bazel build //magenta/scripts:convert_midi_dir_to_note_sequences
|
||
|
|
|
||
|
|
./bazel-bin/magenta/scripts/convert_midi_dir_to_note_sequences \
|
||
|
|
--midi_dir=$MIDI_DIRECTORY \
|
||
|
|
--output_file=$SEQUENCES_TFRECORD \
|
||
|
|
--recursive
|
||
|
|
```
|
||
|
|
|
||
|
|
___Data processing APIs___
|
||
|
|
|
||
|
|
If you are interested in adding your own model, please take a look at how we create our datasets under the hood: [Data processing in Magenta](https://github.com/tensorflow/magenta/blob/master/magenta/pipelines)
|
||
|
|
|