增加模块；增加主调用命令

main.spec

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+# -*- mode: python ; coding: utf-8 -*-
+
+# 隐藏导入列表 - 包含所有可能需要的模块
+hidden_imports = [
+    # 核心科学计算库
+    'numpy',
+    'numpy.core',
+    'numpy.lib',
+    'numpy.linalg',
+    'numpy.fft',
+    'numpy.random',
+    'scipy',
+    'scipy.sparse',
+    'scipy.optimize',
+    'scipy.integrate',
+    'scipy.signal',
+    'scipy.ndimage',
+    'scipy.stats',
+    'pandas',
+    'pandas.core',
+    'pandas.io',
+    'pandas.plotting',
+
+    # 机器学习库
+    'sklearn',
+    'sklearn.ensemble',
+    'sklearn.tree',
+    'sklearn.svm',
+    'sklearn.linear_model',
+    'sklearn.cluster',
+    'sklearn.decomposition',
+    'sklearn.preprocessing',
+    'sklearn.metrics',
+    'sklearn.model_selection',
+    'sklearn.neighbors',
+    'sklearn.naive_bayes',
+    'sklearn.gaussian_process',
+    'sklearn.discriminant_analysis',
+    'sklearn.neural_network',
+
+    # XGBoost
+    'xgboost',
+    'xgboost.core',
+    'xgboost.sklearn',
+
+    # LightGBM
+    'lightgbm',
+    'lightgbm.basic',
+    'lightgbm.sklearn',
+
+    # 图像处理库
+    'cv2',
+    'PIL',
+    'PIL.Image',
+    'PIL.ImageFilter',
+    'PIL.ImageOps',
+    'skimage',
+    'skimage.io',
+    'skimage.filters',
+    'skimage.morphology',
+    'skimage.transform',
+    'skimage.color',
+    'skimage.exposure',
+    'skimage.measure',
+    'skimage.segmentation',
+
+    # 可视化库
+    'matplotlib',
+    'matplotlib.pyplot',
+    'matplotlib.backends',
+    'matplotlib.backends.backend_agg',
+    'matplotlib.figure',
+    'seaborn',
+
+    # 光谱处理库
+    'spectral',
+    'spectral.io',
+    'spectral.algorithms',
+
+    # 颜色科学库
+    'colour',
+    'colour.models',
+    'colour.difference',
+
+    # 其他工具库
+    'joblib',
+    'tqdm',
+    'tqdm.std',
+    'tqdm.auto',
+
+    # 系统和标准库
+    'pathlib',
+    'argparse',
+    'subprocess',
+    'multiprocessing',
+    'concurrent',
+    'concurrent.futures',
+    'threading',
+    'queue',
+    'collections',
+    'itertools',
+    'functools',
+    'operator',
+    'math',
+    'random',
+    'json',
+    'csv',
+    'pickle',
+    'gzip',
+    'zipfile',
+    'tarfile',
+    'io',
+    'os',
+    'sys',
+    'platform',
+    'warnings',
+    'logging',
+    'traceback',
+    'time',
+    'datetime',
+    're',
+    'glob',
+    'fnmatch',
+    'linecache',
+    'tokenize',
+    'keyword',
+    'ast',
+    'inspect',
+    'dis',
+    'importlib',
+    'importlib.util',
+    'pkgutil',
+    'runpy',
+    'contextlib',
+    'weakref',
+    'gc',
+    'copy',
+    'pprint',
+    'reprlib',
+    'enum',
+    'numbers',
+    'decimal',
+    'fractions',
+    'statistics',
+    'unittest',
+
+    # 动态导入的模块
+    'registry',
+    'validators',
+    'output_handler',
+
+    # 各方法模块
+    'Anomaly_method',
+    'classfication_method',
+    'cluster_method',
+    'color_method',
+    'Dimensionality_Reduction_method',
+    'edge_detect_method',
+    'Feature_Selection_method',
+    'fliter_method',
+    'preprocessing_method',
+    'prosail_method',
+    'rgression_method',
+    'segment_method',
+    'spatial_features_method',
+    'spectral_feature_method',
+    'supervize_cluster_method',
+
+    # 具体的实现文件
+    'Anomaly_method.Covariance',
+    'Anomaly_method.One_Class_SVM',
+    'Anomaly_method.RX',
+    'Anomaly_method.squared_loss_probability',
+    'classfication_method.bil2png',
+    'classfication_method.classfication',
+    'cluster_method.cluster',
+    'color_method.DeltaE',
+    'color_method.spectral2cie2',
+    'color_method.XYZ2RGB',
+    'Dimensionality_Reduction_method.dimensionality_reduction',
+    'edge_detect_method.edge_detect',
+    'Feature_Selection_method.batch_feature_selection',
+    'Feature_Selection_method.Cars',
+    'Feature_Selection_method.feture_select',
+    'Feature_Selection_method.GA',
+    'Feature_Selection_method.Lar',
+    'Feature_Selection_method.random_fog',
+    'Feature_Selection_method.ReliefF',
+    'Feature_Selection_method.sipls',
+    'Feature_Selection_method.Spa',
+    'Feature_Selection_method.Uve',
+    'fliter_method.morphological_fliter',
+    'fliter_method.Smooth_filter',
+    'preprocessing_method.plot',
+    'preprocessing_method.Preprocessing',
+    'prosail_method.prosail_gui',
+    'rgression_method.regression_predict',
+    'rgression_method.regression',
+    'segment_method.threshold_Segment',
+    'spatial_features_method.get_glcm',
+    'spatial_features_method.glcm',
+    'spatial_features_method.plot',
+    'spatial_features_method.shape_feature',
+    'spectral_feature_method.spectral_index',
+    'supervize_cluster_method.supervize_cluster',
+]
+
+# 需要排除的模块（减少包大小）
+excludes = [
+    'pdb',         # 调试器
+    'test',        # 测试模块
+    'tests',       # 测试目录
+    'jupyter',     # Jupyter相关
+    'ipykernel',   # Jupyter内核
+    'notebook',    # Jupyter notebook
+    'IPython',     # IPython
+    'zmq',         # ZeroMQ
+    'tornado',     # Tornado web框架
+    'matplotlib.tests',  # matplotlib测试
+    'numpy.tests',  # numpy测试
+    'scipy.tests',  # scipy测试
+    'pandas.tests', # pandas测试
+]
+
+a = Analysis(
+    ['main.py'],
+    pathex=[],
+    binaries=[],
+    datas=[],
+    hiddenimports=hidden_imports,
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=excludes,
+    noarchive=False,
+    optimize=0,
+)
+pyz = PYZ(a.pure)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    [],
+    exclude_binaries=True,
+    name='main',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    console=True,
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+)
+
+coll = COLLECT(
+    exe,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='main',
+)