minimal.py

from pathlib import Path
from torch.utils import data

import blendtorch.btt as btt


def main():
    # Define how we want to launch Blender
    launch_args = dict(
        scene=Path(__file__).parent / "cube.blend",
        script=Path(__file__).parent / "cube.blend.py",
        num_instances=2,
        named_sockets=["DATA"],
    )

    # Launch Blender
    with btt.BlenderLauncher(**launch_args) as bl:
        # Create remote dataset and limit max length to 16 elements.
        addr = bl.launch_info.addresses["DATA"]
        ds = btt.RemoteIterableDataset(addr, max_items=16)
        dl = data.DataLoader(ds, batch_size=4, num_workers=4)

        for item in dl:
            # item is a dict with custom content (see cube.blend.py)
            img, xy = item["image"], item["xy"]
            print("Received", img.shape, xy.shape)
        # Will get here after 16/BATCH=4 iterations.


if __name__ == "__main__":
    main()