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javadcc_mac
48269dddb3
`_collect_image_batches` read `batch_size = batch[camera_keys[0]].shape[0]` before normalizing per-camera tensors to `(B, C, H, W)`. For an unbatched `(C, H, W)` input (which the function tries to support via the `image.dim() == 3` branch), this picked up the channel count `C` instead of the real batch size, making the subsequent per-sample loop iterate `C` times and indexing go out of bounds. Normalize each camera tensor up-front, then read `batch_size` from the normalized batch dim. Adds `test_collect_image_batches_handles_unbatched_chw` covering the regression. Reported by Copilot review on huggingface/lerobot#3545.