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全链路路径对齐：注册表重写为字符串格式，10_sampling→4_sampling，water_quality_indices→training_spectra_indices

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DXC
2026-06-12 09:59:35 +08:00
parent 89bdcbc27a
commit 4c9ca2aa03
5 changed files with 16 additions and 42 deletions
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2
src/core/non_empirical_retrieval.py
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@ -247,7 +247,7 @@ def non_empirical_retrieval(algorithm, model_info_path, coor_spectral_path, outp
if __name__ == "__main__":
algorithm= "chl_a"
model_info_path= r"E:\code\WQ\pipeline_result\work_dir\5_training_spectra\8_non_empirical_models\SS\SS_chl_a.json"
coor_spectral_path= r"E:\code\WQ\pipeline_result\work_dir\10_sampling\sampling_spectra.csv"
coor_spectral_path= r"E:\code\WQ\pipeline_result\work_dir\4_sampling\sampling_spectra.csv"
output_path= r"E:\code\WQ\pipeline_result\work_dir\11_12_13_predictions\SS_chl_a.csv"
wave_radius=5.0
non_empirical_retrieval(algorithm, model_info_path, coor_spectral_path, output_path, wave_radius)

2
src/core/steps/prediction_step.py
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@ -24,7 +24,7 @@ class PredictionStep:
chunk_size: int = 1000,
water_mask_path: Optional[str] = None,
glint_mask_path: Optional[str] = None,
output_dir: Union[str, Path] = "./10_sampling",
output_dir: Union[str, Path] = "./4_sampling",
callback: Optional[Callable] = None,
use_adaptive_sampling: bool = True,
) -> str:

4
src/core/water_quality_inversion_pipeline_GUI.py
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@ -144,7 +144,7 @@ class WaterQualityInversionPipeline:
self.models_dir = self.work_dir / "7_Supervised_Model_Training"
self.non_empirical_models_dir = self.work_dir / "8_Regression_Modeling"
self.custom_regression_dir = self.work_dir / "9_Custom_Regression_Modeling"
self.sampling_dir = self.work_dir / "10_sampling"
self.sampling_dir = self.work_dir / "4_sampling"
self.prediction_dir = self.work_dir / "11_12_13_predictions"
self.visualization_dir = self.work_dir / "14_visualization"
self.reports_dir = self.work_dir / "reports"
@ -2276,7 +2276,7 @@ def main():
'step6': {
'formula_csv_file': 'path/to/water_quality_formulas.csv', # 公式CSV文件路径
'formula_names': ['Al10SABI', 'TurbBe16RedOverViolet'], # 要计算的公式名称列表
'output_filename': 'water_quality_indices.csv',
'output_filename': 'training_spectra_indices.csv',
'enabled': True # 是否启用水质指数计算
},
'step7': {