Download config_echonet.yaml from zeahub/configs: direct link, hf CLI and curl.
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https://huggingface.co/datasets/zeahub/configs/resolve/main/config_echonet.yaml
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curl -L -o config_echonet.yaml https://huggingface.co/datasets/zeahub/configs/resolve/main/config_echonet.yaml
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| # config_echonet.yaml - comments were autogenerated from PARAMETER_DESCRIPTIONS in zea/config/parameters.py | |
| # Data path and loading settings. | |
| data: | |
| # Full path to the data file. Supports absolute paths, paths relative to the | |
| # user data root (set in users.yaml), and Hugging Face Hub paths | |
| # (hf://org/repo/path/to/file.hdf5). | |
| path: echonet_v2025/train/0X1A8F20B8BF0B4B45.hdf5 | |
| # true: use local data on this device, false: use data from a remote location. | |
| # null when the users.yaml paths are single paths, shared by both. | |
| local: false | |
| # Indices into the data to load. null loads the default, 'all' loads every | |
| # frame, int loads a single frame, list loads specific frames. | |
| indices: all | |
| # Open mapping of scan/probe/custom parameters that overwrite values loaded from | |
| # the data file. ProbeSpec and ScanSpec are the authoritative sources for valid | |
| # parameter names — see the spec reference in data-acquisition. Arbitrary custom | |
| # parameters are forwarded to the pipeline unchanged. | |
| parameters: | |
| theta_range: [-0.78, 0.78] | |
| rho_range: [0, 1] | |
| fill_value: -60 | |
| # This section contains the necessary parameters for building the pipeline. | |
| pipeline: | |
| # The operations to perform on the data. This is a list of dictionaries, where | |
| # each dictionary contains the parameters for a single operation. | |
| operations: | |
| - name: scan_convert | |
| params: | |
| jit_compile: false | |