Ayzen
b88d704126
- BG_GATE_ENABLE: frame peak over its median background (sar3d_background); the GUI scales the frame with bg_gate_gain and its cloud threshold. - SAR_CLEAN_ENABLE: CLEAN of a one-frame aperture on a 4x10x4 cm search grid over the whole scene; objects in their own scale (sar3d_objects). - SAR_MARK_ENABLE: boxes by class around object groups (sar3d_marks), with the legend under the views. - SAR_VOXEL_M as three steps X/Y/Z with the notebook defaults 0.025/0.02/0.02. - GPU backend: image/download/load/project API, per-plane block reduction for the maximum, depth gate without FMA; sar3d host code built with -ffp-contract=off. - References regenerated from notebook cells 1 and 5, with new CLEAN scenes and a synthetic box-rule case; docs updated.
259 lines
14 KiB
Python
259 lines
14 KiB
Python
"""Dataclass schema for full GUI config profiles."""
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from __future__ import annotations
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from copy import deepcopy
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from dataclasses import dataclass, field
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import json
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import logging
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from pathlib import Path
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from typing import Protocol
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from typing import Any, TypeVar
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from python_app.models.run_config_schema import RunConfigModel
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logger = logging.getLogger(__name__)
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Scalar = str | int | float | bool
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_ScalarT = TypeVar("_ScalarT", str, int, float, bool)
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@dataclass(frozen=True, slots=True)
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class Setting:
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"""Qt-free binding and validation metadata for one persistent GUI field."""
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widget: str = ""
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live: str = ""
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web: str = ""
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group: str = ""
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choices: tuple[str, ...] = ()
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minimum: float | None = None
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maximum: float | None = None
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exclusive_minimum: bool = False
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def setting(
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default: _ScalarT, widget: str = "", *, live: str = "", web: str = "",
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group: str = "", choices: tuple[str, ...] = (), minimum: float | None = None,
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maximum: float | None = None, exclusive_minimum: bool = False,
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) -> _ScalarT:
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"""Declare a typed dataclass field and its single profile/live/web binding."""
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return field(default=default, metadata={"setting": Setting(
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widget, live, web or live, group, choices, minimum, maximum, exclusive_minimum,
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)})
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@dataclass(slots=True)
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class GuiSwitchStateModel:
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"""UI-only state for switch selection controls."""
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combo_mode: str = setting("text", choices=('text', 'single'))
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combos_text: str = setting("", '_combos_text')
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single_input: str = setting("0", '_single_combo_input')
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single_output: str = setting("0", '_single_combo_output')
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@dataclass(slots=True)
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class GuiPassThroughStateModel:
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"""UI-only defaults for pass-through rendering."""
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show_magnitude: bool = setting(True, '_show_magnitude_checkbox')
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show_phase: bool = setting(True, '_show_phase_checkbox')
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unwrap_phase: bool = setting(False, '_unwrap_phase_checkbox')
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combo_filter: str = setting("", '_pass_through_combo_filter_input', web='combo_filter', group='Display')
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fixed_y_enabled: bool = setting(False, '_pass_through_fixed_y_enabled', web='pass_through_fixed_y_enabled', group='Pass-through')
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y_min_db: float = setting(-100.0, '_pass_through_y_min_db', web='pass_through_y_min_db', group='Pass-through')
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y_max_db: float = setting(0.0, '_pass_through_y_max_db', web='pass_through_y_max_db', group='Pass-through')
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@dataclass(slots=True)
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class GuiBscanStateModel:
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"""UI-only defaults for B-scan live settings."""
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axis: str = setting("abs", '_bscan_axis', live='bscan_axis', group='B-scan', choices=('abs', 'real', 'phase'))
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cut_m: float = setting(0.824, '_bscan_cut_m', live='bscan_cut_m', group='B-scan')
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max_depth_m: float = setting(1.0, '_bscan_max_depth_m', live='bscan_max_depth_m', group='B-scan')
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gain: float = setting(1.0, '_bscan_gain', live='bscan_gain', group='B-scan')
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start_freq_mhz: float = setting(100.0, '_bscan_start_freq_mhz', live='bscan_start_freq_mhz', group='B-scan')
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stop_freq_mhz: float = setting(8800.0, '_bscan_stop_freq_mhz', live='bscan_stop_freq_mhz', group='B-scan')
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subtract_mean_ascan: bool = setting(False, '_bscan_subtract_mean_ascan', web='subtract_mean_ascan', group='Display')
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# How many past sweeps the B-scan heatmap renders once acquisition is stopped.
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# While running the window stays at the C++ replay window (see
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# `_cpp_bscan_replay_window_for_config`); this only widens the stopped-mode view.
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history_window_scans: int = setting(50, '_bscan_history_window')
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@dataclass(slots=True)
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class GuiGprStateModel:
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"""UI-only defaults for coherent backprojection GPR live settings."""
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input_positions: str = setting("", '_gpr_input_positions_input', live='gpr_input_positions', group='Geometry & depth')
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output_positions: str = setting("", '_gpr_output_positions_input', live='gpr_output_positions', group='Geometry & depth')
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min_depth_m: float = setting(2.0, '_gpr_min_depth_m', live='gpr_min_depth_m', group='Geometry & depth')
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max_depth_m: float = setting(14.0, '_gpr_max_depth_m', live='gpr_max_depth_m', group='Geometry & depth')
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range_comp_power: float = setting(0.1, '_gpr_range_comp_power', live='gpr_range_comp_power', group='Imaging', minimum=0)
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# BP object-detection stop level, fraction of the global peak. Angle compensation and
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# permittivity are fixed for coherent BP, so they are not exposed here.
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object_min_frac: float = setting(0.7, '_gpr_object_min_frac', live='gpr_object_min_frac', group='Detection', minimum=0, maximum=1)
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score_mode: str = setting("combined", '_gpr_score_mode', live='gpr_score_mode', group='Imaging', choices=('peak', 'combined'))
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motion_mode: str = setting("int_minus", '_gpr_motion_mode', live='gpr_motion_mode', group='Motion', choices=('int_minus', 'int_focus'))
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# Intra-sweep motion-correction inputs. Sweep time is derived from acquisition
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# metadata; speed comes from the socket unless `ignore_socket_speed_enabled`,
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# in which case `speed_m_s` from here is used.
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look_angle_deg: float = setting(0.0, '_gpr_look_angle_deg', live='gpr_look_angle_deg', group='Motion')
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direction_sign: float = setting(1.0, '_gpr_direction_sign', live='gpr_direction_sign', group='Motion')
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speed_m_s: float = setting(0.0, '_gpr_speed_m_s', live='gpr_speed_m_s', group='Motion')
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ignore_socket_speed_enabled: bool = setting(False, '_gpr_ignore_socket_speed_enabled', live='ignore_socket_speed', group='Motion')
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max_detected_objects_to_draw: int = setting(
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5, '_gpr_max_detected_objects_to_draw', live='gpr_max_detected_objects_to_draw', group='Detection', minimum=0,
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)
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draw_top_m_objects: int = setting(2, '_gpr_draw_top_m_objects', live='gpr_draw_top_m_objects', group='Detection', minimum=0)
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# Cross-frame approach filter: show an object only after it persists as a
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# motion-consistent track this many consecutive frames (<= 1 disables it).
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object_approach_min_frames: int = setting(
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3, '_gpr_object_approach_min_frames', live='gpr_object_approach_min_frames', group='Detection', minimum=1,
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)
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start_freq_mhz: float = setting(3000.0, '_gpr_start_freq_mhz', live='gpr_start_freq_mhz', group='Geometry & depth')
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stop_freq_mhz: float = setting(6000.0, '_gpr_stop_freq_mhz', live='gpr_stop_freq_mhz', group='Geometry & depth')
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background_subtract_enabled: bool = setting(True, '_gpr_background_subtract_enabled', live='gpr_background_subtract_enabled', group='Imaging')
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background_mean_count: int = setting(10, '_gpr_background_mean_count', live='gpr_background_mean_count', group='Imaging')
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remove_sidelobe_objects_enabled: bool = setting(
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True, '_gpr_remove_sidelobe_objects_enabled', live='gpr_remove_sidelobe_objects_enabled', group='Imaging',
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)
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bp_ground_depth_m: float = setting(1.25, '_gpr_bp_ground_depth_m', live='gpr_bp_ground_depth_m', group='Geometry & depth', minimum=0)
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pair_depth_equalize: bool = setting(True, '_gpr_pair_depth_equalize', live='pair_depth_equalize', group='Imaging')
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render_mode: str = setting("heatmap", '_gpr_render_mode', web='render_mode', group='Display', choices=('heatmap', 'objects_only'))
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visible_x_min_m: float = setting(-2.0, '_gpr_visible_x_min_m', live='gpr_visible_x_min_m', group='Visible window')
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visible_x_max_m: float = setting(2.0, '_gpr_visible_x_max_m', live='gpr_visible_x_max_m', group='Visible window')
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visible_z_min_m: float = setting(0.0, '_gpr_visible_z_min_m', live='gpr_visible_z_min_m', group='Visible window')
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visible_z_max_m: float = setting(14.0, '_gpr_visible_z_max_m', live='gpr_visible_z_max_m', group='Visible window')
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@dataclass(slots=True)
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class GuiSar3dStateModel:
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"""UI-only defaults for the 3D SAR (sar3d) live settings.
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Values are the reference notebook's (Multi_depthnorm_clean.ipynb), whose
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names the GUI shows: INPUT_IDX, F_START, MIN_DEPTH, LOOK_ANGLE_DEG, ...
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"""
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input_positions: str = setting("", '_sar3d_input_positions_input', live='gpr_input_positions', group='Geometry & depth')
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output_positions: str = setting("", '_sar3d_output_positions_input', live='gpr_output_positions', group='Geometry & depth')
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min_depth_m: float = setting(2.0, '_sar3d_min_depth_m', live='gpr_min_depth_m', group='Geometry & depth')
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max_depth_m: float = setting(8.0, '_sar3d_max_depth_m', live='gpr_max_depth_m', group='Geometry & depth')
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start_freq_mhz: float = setting(1500.0, '_sar3d_start_freq_mhz', live='gpr_start_freq_mhz', group='Geometry & depth')
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stop_freq_mhz: float = setting(6000.0, '_sar3d_stop_freq_mhz', live='gpr_stop_freq_mhz', group='Geometry & depth')
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speed_m_s: float = setting(0.0, '_sar3d_speed_m_s', live='gpr_speed_m_s', group='Motion')
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ignore_socket_speed_enabled: bool = setting(False, '_sar3d_ignore_socket_speed_enabled', live='ignore_socket_speed', group='Motion')
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look_angle_deg: float = setting(19.5, '_sar3d_look_angle_deg', live='gpr_look_angle_deg', group='Motion')
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frame_radius: int = setting(0, '_sar3d_frame_radius', live='sar3d_frame_radius', group='3D SAR', minimum=0)
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voxel_x_m: float = setting(0.025, '_sar3d_voxel_x_m', live='sar3d_voxel_x_m', group='3D SAR', minimum=0, exclusive_minimum=True)
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voxel_y_m: float = setting(0.02, '_sar3d_voxel_y_m', live='sar3d_voxel_y_m', group='3D SAR', minimum=0, exclusive_minimum=True)
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voxel_z_m: float = setting(0.02, '_sar3d_voxel_z_m', live='sar3d_voxel_z_m', group='3D SAR', minimum=0, exclusive_minimum=True)
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bp_ground_depth_m: float = setting(1.25, '_sar3d_bp_ground_depth_m', live='sar3d_bp_ground_depth_m', group='3D SAR')
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comp_range_power: float = setting(0.3, '_sar3d_comp_range_power', live='sar3d_comp_range_power', group='3D SAR')
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use_compensation: bool = setting(True, '_sar3d_use_compensation', live='sar3d_use_compensation', group='3D SAR')
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normalize_each_frame: bool = setting(True, '_sar3d_normalize_each_frame', live='sar3d_normalize_each_frame', group='3D SAR')
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pair_depth_equalize: bool = setting(True, '_sar3d_pair_depth_equalize', live='pair_depth_equalize', group='3D SAR')
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background_subtract_enabled: bool = setting(True, '_sar3d_background_subtract_enabled', live='gpr_background_subtract_enabled', group='3D SAR')
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background_mean_count: int = setting(10, '_sar3d_background_mean_count', live='gpr_background_mean_count', group='3D SAR', minimum=0)
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bg_gate_enabled: bool = setting(True, '_sar3d_bg_gate_enabled', live='sar3d_bg_gate_enabled', group='3D SAR')
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clean_enabled: bool = setting(True, '_sar3d_clean_enabled', live='sar3d_clean_enabled', group='3D SAR')
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x_size_m: float = setting(0.0, '_sar3d_x_size_m', live='sar3d_x_size_m', group='Scene', minimum=0)
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y_min_m: float = setting(-0.5, '_sar3d_y_min_m', live='sar3d_y_min_m', group='Scene')
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y_max_m: float = setting(2.0, '_sar3d_y_max_m', live='sar3d_y_max_m', group='Scene')
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z_size_m: float = setting(0.0, '_sar3d_z_size_m', live='sar3d_z_size_m', group='Scene', minimum=0)
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cloud_threshold: float = setting(0.65, '_sar3d_cloud_threshold', web='sar3d_cloud_threshold', group='Display', minimum=0, maximum=1)
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zoom_percent: int = setting(100, '_sar3d_zoom_percent', web='sar3d_zoom_percent', group='Display', minimum=100, maximum=1000)
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mark_enabled: bool = setting(True, '_sar3d_mark_enabled', web='sar3d_mark_enabled', group='Display')
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@dataclass(slots=True)
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class GuiProcessingStateModel:
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"""UI-only processing-section defaults."""
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selected_mode: str = setting(
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"pass_through", '_processing_mode', live='processor_mode', group='Processor', choices=('pass_through', 'bscan', 'gpr', 'sar3d'),
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)
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pass_through: GuiPassThroughStateModel = field(default_factory=GuiPassThroughStateModel)
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bscan: GuiBscanStateModel = field(default_factory=GuiBscanStateModel)
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gpr: GuiGprStateModel = field(default_factory=GuiGprStateModel)
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sar3d: GuiSar3dStateModel = field(default_factory=GuiSar3dStateModel)
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@dataclass(slots=True)
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class GuiDataActionsStateModel:
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"""UI-only defaults for snapshot/export controls."""
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save_path: str = setting("", '_save_path_input')
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save_name: str = setting("snapshot_manual", '_save_name_input')
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# How many freshly acquired measurements the "Start + Record" action writes to
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# disk before it stops recording (acquisition keeps running).
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record_count: int = setting(100, '_record_count')
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@dataclass(slots=True)
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class GuiPreprocessDialogStateModel:
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"""UI-only defaults for preprocessing dialog controls."""
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set_name: str = setting("set_001")
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radar_config_dir: str = setting("")
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use_all_radar_configs: bool = setting(False)
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median_sweep_count: int = setting(5)
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@dataclass(slots=True)
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class GuiStateModel:
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"""GUI-only profile payload stored under top-level `gui`."""
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version: int = 1
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switches: GuiSwitchStateModel = field(default_factory=GuiSwitchStateModel)
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processing: GuiProcessingStateModel = field(default_factory=GuiProcessingStateModel)
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data_actions: GuiDataActionsStateModel = field(default_factory=GuiDataActionsStateModel)
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preprocess_dialog: GuiPreprocessDialogStateModel = field(default_factory=GuiPreprocessDialogStateModel)
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@dataclass(slots=True)
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class GuiProfileModel:
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"""Full GUI profile with pipeline-compatible root config and optional UI state."""
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run_config: RunConfigModel = field(default_factory=RunConfigModel)
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gui: GuiStateModel | None = None
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@staticmethod
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def from_dict(payload: dict[str, Any]) -> GuiProfileModel:
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"""Build profile from JSON-like payload using codec layer."""
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from python_app.models.gui_profile_codec import gui_profile_from_dict
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return gui_profile_from_dict(payload)
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@classmethod
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def load_from_path(cls, path: Path) -> GuiProfileModel:
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"""Load a JSON file from disk and decode it into a profile model.
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Raises ValueError when the file's JSON root is not an object.
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"""
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logger.debug("Loading GUI profile from %s", path)
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payload = json.loads(path.read_text(encoding="utf-8"))
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if not isinstance(payload, dict):
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raise ValueError(f"Config profile root must be JSON object: {path}")
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return cls.from_dict(payload)
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def clone(self) -> GuiProfileModel:
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"""Create deep copy while preserving whether `gui` is absent."""
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return deepcopy(self)
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def to_dict(self) -> dict[str, Any]:
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"""Encode profile into JSON-serializable dictionary."""
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from python_app.models.gui_profile_codec import gui_profile_to_dict
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return gui_profile_to_dict(self)
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class ProfileWriter(Protocol):
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"""Publish the current profile, optionally using the acquisition provenance."""
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def __call__(self, path: Path, /, *, allow_overwrite: bool = True,
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dataset: bool = False) -> GuiProfileModel: ...
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