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tristan-deep merged 1 commit into from
Sep 29, 2026
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concordia: choose reference frame, update assets and README #46

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2 changes: 1 addition & 1 deletion datasets/concordia/README.md
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![B-mode reconstructions of the five SynthUS-FSA phantom classes](assets/classes.png)

*The five phantom classes (anechoic, hypoechoic, hyperechoic, diverse, point-target), each reconstructed from `data/raw_data`: [`image_0005`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0005.hdf5), [`image_0470`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0470.hdf5), [`image_0640`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0640.hdf5), [`image_1100`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_1100.hdf5), [`image_1808`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_1808.hdf5).*
*The five phantom classes (anechoic, hypoechoic, hyperechoic, diverse, point-target), one capture per column: [`image_0012`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0012.hdf5), [`image_0410`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0410.hdf5), [`image_0733`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0733.hdf5), [`image_0753`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_0753.hdf5), [`image_1808`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/concordia/data/image_1808.hdf5). Rows show the reference B-mode (`data/image`), the simulated scatterer cloud (`data/scatterers`) and the label map (`data/segmentation` for the lesion classes, `data/diverse_source_image` for diverse; point-target captures store none).*

## Dataset Description

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2 changes: 1 addition & 1 deletion datasets/concordia/reconstruct.py
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# --- Inputs -----------------------------------------------------------------
# Defaults stream straight from the published corpus. Swap any of these for a
# local path to run against your own copy.
ZEA_FILE = "hf://nvidia/OpenH-RF/concordia/data/image_1808.hdf5"
ZEA_FILE = "hf://nvidia/OpenH-RF/concordia/data/image_0753.hdf5"
FRAME = 0 # Frame index (default: 0)
OUT = HERE / "assets" / "reference_capture.png"
SAVE_YAML = None # Optionally write the pipeline to a reusable pipeline.yaml
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