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.cfg architecture and pretrained .weights carry no license obligations..weights binary was converted to a LibreYOLO v1.0 checkpoint (a state-dict mapping into the native LibreYOLO module graph). Learned parameters are unchanged. See weights/convert_darknet_weights.py in the LibreYOLO source repository.1from libreyolo import LibreYOLO
2
3model = LibreYOLO("LibreYOLO4b.pt")
4results = model.predict("image.jpg", save=True)