Comments (2)
Hello,
- Great, I might do that in the future.
- There is no documentation for the mix generation because we did not publish on this. It is not officially supported by the current version of the software.
if you want to get your hands dirty, here is a list of things to do to build mixes, that might not work:
from automix import config
from automix.model.classes.track import Track
from automix.model.inputOutput.serializer.reaperProxy import ReaperProxy
from automix.transition.mixManager import MixManager
tracks = [Track(path=path) for path in config.getFolderFiles("path to folder containing audio")]
mix = MixManager(tracks, overlap=32, startingTrack=tracks[0])
for track in mix.tracks:
track.takeMarkers = [{"time": time - 0.1, "color": "r", "label": "in"} for time in track.getCueIns().times]
track.takeMarkers += [{"time": time - 0.1, "color": "b", "label": "out"} for time in track.getCueOuts().times]
ReaperProxy().serialize("test.RPP", tracks=mix.tracks, markers=mix.markers)
This should generate a file that you can open in Reaper v6.x. But it might fail, again, since it is not tested and officially supported.
Good luck
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Hello again, thx for response, ofc i will try with dirty hands ;)
Also same project https://github.com/ChenPaulYu/DJtransGAN (https://github.com/ChenPaulYu/DJtransGAN-dg-pipeline), all works fine with music puzzle but cue point not correct, you can check some options and it can help on future you and your project Automix
King regard's ...
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Related Issues (8)
- Error with track.getCueIns() HOT 1
- FileNotFoundError: [Errno 2] No such file or directory HOT 2
- ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject HOT 5
- AttributeError: 'Namespace' object has no attribute 'func' HOT 3
- Automixing with different tracks HOT 1
- Mel-Spectrogram Support
- How can we run in Google colab directly ?
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