duxingchen/WQ_GUI
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添加公式方法

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This commit is contained in:
DXC
2026-06-15 14:55:32 +08:00
parent f73a7d8999
commit a9e77d2ad0
5 changed files with 18 additions and 18 deletions
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6
src/gui/panels/step5_clean_panel.py
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@ -76,7 +76,7 @@ class Step5CleanPanel(QWidget):
"输出处理后CSV:",
"CSV Files (*.csv);;All Files (*.*)"
)
self.output_file.line_edit.setPlaceholderText("processed_data.csv")
self.output_file.line_edit.setPlaceholderText("cleaned_sampling_data.csv")
layout.addWidget(self.output_file)
# 启用步骤
@ -127,9 +127,9 @@ class Step5CleanPanel(QWidget):
self.work_dir = None
if self.work_dir:
output_dir = os.path.join(self.work_dir, "4_processed_data")
output_dir = os.path.join(self.work_dir, "5_Data_Cleaning")
os.makedirs(output_dir, exist_ok=True)
default_output_path = os.path.join(output_dir, "processed_data.csv").replace('\\', '/')
default_output_path = os.path.join(output_dir, "cleaned_sampling_data.csv").replace('\\', '/')
self.output_file.set_path(default_output_path)
else:
self.output_file.set_path("")

2
src/gui/panels/step6_feature_panel.py
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@ -193,7 +193,7 @@ class Step6FeaturePanel(QWidget):
# 4. 自动填充输出路径（基于工作目录）
if self.work_dir:
output_dir = os.path.join(self.work_dir, "5_training_spectra")
output_dir = os.path.join(self.work_dir, "6_Spectral_Feature_Extraction")
os.makedirs(output_dir, exist_ok=True)
default_output_path = os.path.join(output_dir, "training_spectra.csv").replace('\\', '/')
self.output_file.set_path(default_output_path)

2
src/gui/panels/step7_index_panel.py
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@ -261,7 +261,7 @@ class Step7IndexPanel(QWidget):
work_dir = self._get_work_dir()
if work_dir:
track_a_dir = os.path.join(work_dir, "6_water_quality_indices")
track_a_dir = os.path.join(work_dir, "7_Water_Quality_Indices")
os.makedirs(track_a_dir, exist_ok=True)
config['output_file'] = os.path.join(track_a_dir, "training_spectra_indices.csv").replace('\\', '/')

10
src/gui/panels/step8_ml_train_panel.py
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@ -271,7 +271,7 @@ class Step8MlTrainPanel(QWidget):
if not initial_dir or not os.path.isdir(initial_dir):
# 默认定位到 indices 目录
work_dir = self._get_default_work_dir()
initial_dir = os.path.join(work_dir, "6_water_quality_indices") if work_dir else ""
initial_dir = os.path.join(work_dir, "7_Water_Quality_Indices") if work_dir else ""
if initial_dir and not os.path.isdir(initial_dir):
os.makedirs(initial_dir, exist_ok=True)
@ -375,17 +375,17 @@ class Step8MlTrainPanel(QWidget):
self.training_csv_file.set_path(step5_csv)
# 2. 自动填充输出文件路径（基于工作目录和输入文件名）
# 输入是 training_spectra.csv → 输出 {work_dir}/6_water_quality_indices/training_spectra_indices.csv
# 输入是 sampling_spectra.csv → 输出 {work_dir}/6_water_quality_indices/sampling_spectra_indices.csv
# 输入是 training_spectra.csv → 输出 {work_dir}/7_Water_Quality_Indices/training_spectra_indices.csv
# 输入是 sampling_spectra.csv → 输出 {work_dir}/7_Water_Quality_Indices/sampling_spectra_indices.csv
if self.work_dir:
indices_dir = os.path.join(self.work_dir, "6_water_quality_indices")
indices_dir = os.path.join(self.work_dir, "7_Water_Quality_Indices")
os.makedirs(indices_dir, exist_ok=True)
training_csv = self.training_csv_file.get_path()
if training_csv:
basename = os.path.splitext(os.path.basename(training_csv))[0]
output_file = f"{basename}_indices.csv"
else:
output_file = "water_quality_indices.csv"
output_file = "training_spectra_indices.csv"
output_path = os.path.join(indices_dir, output_file).replace('\\', '/')
self.output_path.set_path(output_path)
else:

16
src/gui/water_quality_gui.py
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@ -1369,10 +1369,10 @@ class WaterQualityGUI(QMainWindow):
'step2': "2_glint/severe_glint_area.dat",
'step3': "3_deglint/deglint_kutser.bsq",
'step4_sampling': "4_sampling/sampling_spectra.csv",
'step5_clean': "4_processed_data/processed_data.csv",
'step6_feature': "5_training_spectra/training_spectra.csv",
'step7_index': "6_water_quality_indices/training_spectra_indices.csv",
'step8_ml_train': "7_Supervised_Model_Training/",
'step5_clean': "5_Data_Cleaning/cleaned_sampling_data.csv",
'step6_feature': "6_Spectral_Feature_Extraction/training_spectra.csv",
'step7_index': "7_Water_Quality_Indices/training_spectra_indices.csv",
'step8_ml_train': "8_Supervised_Model_Training/",
'step9_ml_predict': "11_12_13_predictions/Machine_Learning_Prediction/",
'step10_watercolor': "10_WaterIndex_Images/",
'step11_map': "14_visualization/"
@ -2381,10 +2381,10 @@ class WaterQualityGUI(QMainWindow):
'1_water_mask': 'step1',
'2_glint': 'step2',
'3_deglint': 'step3',
'4_processed_data': 'step4_sampling',
'5_training_spectra': 'step5_clean',
'6_water_quality_indices': 'step6_feature',
'7_Supervised_Model_Training': 'step7_index',
'5_Data_Cleaning': 'step5_clean',
'6_Spectral_Feature_Extraction': 'step6_feature',
'7_Water_Quality_Indices': 'step7_index',
'8_Supervised_Model_Training': 'step8_ml_train',
'8_Regression_Modeling': 'step8_ml_train',
'9_Custom_Regression_Modeling': 'step9_ml_predict',
'11_12_13_predictions/Machine_Learning_Prediction': 'step9_ml_predict',