Sync configs from branch main (commit: e4848f6)
Browse files- README.md +41 -0
- config_carotid.yaml +67 -0
- config_echonet.yaml +48 -0
- config_echonetlvh.yaml +49 -0
README.md
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---
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pretty_name: "zea configs"
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tags:
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- ultrasound
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- configuration
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- zea
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---
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# zea Configuration Files
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This repository contains configuration files for [zea](https://github.com/tue-bmd/zea), a toolbox for cognitive ultrasound imaging.
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## Synchronization
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Configuration files are automatically synchronized from the main zea repository:
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- **Main branch**: Latest config files from the `main` branch
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- **Release tags**: Config files compatible with specific zea releases (e.g., `v0.0.1`, `v0.0.2`)
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## Usage
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```python
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import zea
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# Load a specific config file
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config = zea.Config.from_hf("zeahub/configs", "config_picmus_rf.yaml", repo_type="dataset")
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# Load from a specific release
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config = zea.Config.from_hf("zeahub/configs", "config_camus.yaml", repo_type="dataset", revision="v0.0.2")
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```
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## Documentation
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For detailed documentation and usage examples, visit:
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- 📚 [zea.readthedocs.io](https://zea.readthedocs.io)
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- 🔬 [Examples & Tutorials](https://zea.readthedocs.io/en/latest/examples.html)
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## Source
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Source repository: [github.com/tue-bmd/zea](https://github.com/tue-bmd/zea)
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config_carotid.yaml
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# config_carotid.yaml - comments were autogenerated from PARAMETER_DESCRIPTIONS in zea/config/parameters.py
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# The data section contains the parameters for the data.
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data:
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# The path of the folder to load data files from (relative to the user data
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# root as set in users.yaml)
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dataset_folder: hf://zeahub/zea-carotid-2023
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# The path of the file to load when running the UI (either an absolute path or
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# one relative to the dataset folder)
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file_path: 2_cross_bifur_right_0000.hdf5
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# true: use local data on this device, false: use data from NAS
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local: false
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# The form of data to load (raw_data, rf_data, iq_data, beamformed_data,
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# envelope_data, image, image_sc)
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dtype: raw_data
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# The dynamic range for showing data in db [min, max]
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dynamic_range: [-40, 0]
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# The frame number to load when running the UI (null, int, 'all')
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frame_no: all
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# The scan section contains the parameters pertaining to the reconstruction.
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scan:
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# The number of transmits in a frame. Can be 'all' for all transmits, an
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# integer for a specific number of transmits selected evenly from the
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# transmits in the frame, or a list of integers for specific transmits to
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# select from the frame.
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selected_transmits: all # 149 is all or 11 for instance for reduce number of Tx
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# The number of channels in the raw data (1 for rf data, 2 for iq data)
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n_ch: 1
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# The number of pixels in the beamforming grid in the x-direction
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Nx: 400
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# The number of pixels in the beamforming grid in the z-direction
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Nz: 600
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# This section contains the necessary parameters for building the pipeline.
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pipeline:
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# The operations to perform on the data. This is a list of dictionaries, where
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# each dictionary contains the parameters for a single operation.
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operations:
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- name: demodulate
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- name: "patched_grid"
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params:
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operations:
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- name: tof_correction
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params:
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apply_phase_rotation: true
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- name: pfield_weighting
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- name: delay_and_sum
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num_patches: 100
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- name: envelope_detect
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- name: normalize
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- name: log_compress
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# The device to run on ('cpu', 'gpu:0', 'gpu:1', ...)
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device: auto:1
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# Settings pertaining to plotting when running the UI (`zea --config
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# <path-to-config.yaml>`)
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plot:
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# Set to true to save the plots to disk, false to only display them in the UI
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save: true
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# The plotting library to use (opencv, matplotlib)
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plot_lib: opencv
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# Set to true to run the UI in headless mode
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headless: false
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# The name for the plot
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tag: carotid
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config_echonet.yaml
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# config_echonet.yaml - comments were autogenerated from PARAMETER_DESCRIPTIONS in zea/config/parameters.py
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# The data section contains the parameters for the data.
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data:
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# The path of the folder to load data files from (relative to the user data
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# root as set in users.yaml)
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dataset_folder: echonet_v2025/train
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# The path of the file to load when running the UI (either an absolute path or
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# one relative to the dataset folder)
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file_path: 0X1A8F20B8BF0B4B45.hdf5
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# true: use local data on this device, false: use data from NAS
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local: false
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# The form of data to load (raw_data, rf_data, iq_data, beamformed_data,
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# envelope_data, image, image_sc)
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dtype: image
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# The dynamic range for showing data in db [min, max]
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dynamic_range: [-60, 0]
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# The frame number to load when running the UI (null, int, 'all')
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frame_no: all
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# The type of data to convert to (raw_data, aligned_data, beamformed_data,
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# envelope_data, image, image_sc)
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to_dtype: image_sc
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# The scan section contains the parameters pertaining to the reconstruction.
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scan:
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# The range of theta values in radians for scan conversion (null, [min, max]).
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theta_range: [-0.78, 0.78] # [-45, 45] in rads
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# The range of rho values in meters for scan conversion (null, [min, max]).
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rho_range: [0, 1]
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# Value to fill the image with outside the defined region (float, default
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# 0.0).
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fill_value: -60
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# This section contains the necessary parameters for building the pipeline.
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pipeline:
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# The operations to perform on the data. This is a list of dictionaries, where
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# each dictionary contains the parameters for a single operation.
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operations:
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- name: scan_convert
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params:
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jit_compile: false
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# Settings pertaining to plotting when running the UI (`zea --config
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# <path-to-config.yaml>`)
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plot:
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# Set to true to save the plots to disk, false to only display them in the UI
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save: true
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# The plotting library to use (opencv, matplotlib)
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plot_lib: opencv
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config_echonetlvh.yaml
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# config_echonetlvh.yaml - comments were autogenerated from PARAMETER_DESCRIPTIONS in zea/config/parameters.py
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# The data section contains the parameters for the data.
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data:
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# The path of the folder to load data files from (relative to the user data
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# root as set in users.yaml)
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dataset_folder: echonetlvh_v2025/train
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# The path of the file to load when running the UI (either an absolute path or
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# one relative to the dataset folder)
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file_path: 0X1017398D3C3F5FF9.hdf5
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# true: use local data on this device, false: use data from NAS
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local: false
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# The form of data to load (raw_data, rf_data, iq_data, beamformed_data,
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# envelope_data, image, image_sc)
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dtype: image
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# The dynamic range for showing data in db [min, max]
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dynamic_range: [-60, 0]
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# The frame number to load when running the UI (null, int, 'all')
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frame_no: all
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# The type of data to convert to (raw_data, aligned_data, beamformed_data,
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# envelope_data, image, image_sc)
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to_dtype: image_sc
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# The scan section contains the parameters pertaining to the reconstruction.
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scan:
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# The range of theta values in radians for scan conversion (null, [min, max]).
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theta_range: [-0.78, 0.78] # [-45, 45] in rads
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# The range of rho values in meters for scan conversion (null, [min, max]).
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rho_range: [0, 256]
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# Value to fill the image with outside the defined region (float, default
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# 0.0).
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fill_value: -60
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# This section contains the necessary parameters for building the pipeline.
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pipeline:
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# The operations to perform on the data. This is a list of dictionaries, where
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# each dictionary contains the parameters for a single operation.
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operations:
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- name: scan_convert
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params:
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jit_compile: false
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order: 2
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# Settings pertaining to plotting when running the UI (`zea --config
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# <path-to-config.yaml>`)
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plot:
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# Set to true to save the plots to disk, false to only display them in the UI
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save: true
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# The plotting library to use (opencv, matplotlib)
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plot_lib: opencv
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