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界面优化

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DXC
2026-05-07 14:23:58 +08:00
parent dc33ee260d
commit c12b9d8d8a
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src/gui/panels/step2_panel.py Normal file
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Step2 面板 - 耀斑区域识别
"""
import os
from PyQt5.QtWidgets import (
QWidget, QVBoxLayout, QGroupBox, QFormLayout,
QDoubleSpinBox, QSpinBox, QComboBox, QCheckBox, QPushButton,
QMessageBox,
)
from PyQt5.QtCore import Qt
# 从公共组件库导入
from src.gui.components.custom_widgets import FileSelectWidget
from src.gui.styles import ModernStylesheet
class Step2Panel(QWidget):
"""2. 耀斑区域识别"""
def __init__(self, parent=None):
super().__init__(parent)
self.work_dir = None
self.init_ui()
def init_ui(self):
layout = QVBoxLayout()
# 标题
# 影像文件
self.img_file = FileSelectWidget(
"影像文件:",
"Image Files (*.bsq *.dat *.tif);;All Files (*.*)"
)
layout.addWidget(self.img_file)
# 水域掩膜文件（可选，用于独立运行）
self.water_mask_file = FileSelectWidget(
"水域掩膜:",
"Mask Files (*.dat *.tif);;All Files (*.*)"
)
self.water_mask_file.label.setText("水域掩膜:")
layout.addWidget(self.water_mask_file)
# 参数设置
params_group = QGroupBox("检测参数")
params_layout = QFormLayout()
# 耀斑波长
self.glint_wave = QDoubleSpinBox()
self.glint_wave.setRange(300, 1000)
self.glint_wave.setValue(750.0)
self.glint_wave.setSuffix(" nm")
params_layout.addRow("耀斑检测波长:", self.glint_wave)
# 检测方法
self.method = QComboBox()
self.method.addItem("Otsu 阈值法", "otsu")
self.method.addItem("Z-Score 方法", "zscore")
self.method.addItem("百分位数法", "percentile")
self.method.addItem("IQR 四分位距法", "iqr")
self.method.addItem("自适应阈值法", "adaptive")
self.method.addItem("多波段综合法", "multi_band")
params_layout.addRow("检测方法:", self.method)
# 最大连通域面积
self.max_area = QSpinBox()
self.max_area.setRange(0, 100000)
self.max_area.setValue(50)
self.max_area.setSpecialValueText("不过滤")
params_layout.addRow("最大连通域面积:", self.max_area)
# 岸边缓冲区
self.buffer_size = QSpinBox()
self.buffer_size.setRange(0, 200)
self.buffer_size.setValue(10)
self.buffer_size.setSpecialValueText("不设置")
params_layout.addRow("岸边缓冲区大小:", self.buffer_size)
params_group.setLayout(params_layout)
layout.addWidget(params_group)
# 输出文件路径
self.output_file = FileSelectWidget(
"输出耀斑掩膜:",
"Mask Files (*.dat *.tif);;All Files (*.*)"
)
self.output_file.line_edit.setPlaceholderText("")
layout.addWidget(self.output_file)
# 启用步骤
self.enable_checkbox = QCheckBox("启用此步骤")
self.enable_checkbox.setChecked(True)
layout.addWidget(self.enable_checkbox)
# 独立运行按钮
self.run_btn = QPushButton("独立运行此步骤")
self.run_btn.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
self.run_btn.clicked.connect(self.run_step)
layout.addWidget(self.run_btn)
layout.addStretch()
self.setLayout(layout)
# 信号连接：影像文件路径变化时动态更新波段范围
def get_config(self):
"""获取配置"""
config = {
'img_path': self.img_file.get_path(),
'glint_wave': self.glint_wave.value(),
'method': self.method.currentData(), # 使用 currentData() 获取英文ID
}
if self.max_area.value() > 0:
config['max_area'] = self.max_area.value()
if self.buffer_size.value() > 0:
config['buffer_size'] = self.buffer_size.value()
# 添加水域掩膜路径（用于独立运行）
water_mask_path = self.water_mask_file.get_path()
if water_mask_path:
config['water_mask_path'] = water_mask_path
# 添加输出路径
output_path = self.output_file.get_path()
if output_path:
config['output_path'] = output_path
return config
def set_config(self, config):
"""设置配置"""
if 'img_path' in config:
self.img_file.set_path(config['img_path'])
if 'glint_wave' in config:
self.glint_wave.setValue(config['glint_wave'])
if 'method' in config:
idx = self.method.findData(config['method']) # 使用 findData()
if idx >= 0:
self.method.setCurrentIndex(idx)
if 'max_area' in config:
self.max_area.setValue(config['max_area'])
if 'buffer_size' in config:
self.buffer_size.setValue(config['buffer_size'])
if 'water_mask_path' in config:
self.water_mask_file.set_path(config['water_mask_path'])
if 'output_path' in config:
self.output_file.set_path(config['output_path'])
def update_from_config(self, work_dir=None, pipeline=None):
"""
从全局配置/Pipeline 或 Step1Panel 自动填充路径，实现上下游数据流转
Args:
work_dir: 工作目录路径
pipeline: Pipeline 实例，用于获取步骤1生成的水域掩膜路径
"""
# 保存工作目录引用
if work_dir:
self.work_dir = work_dir
elif hasattr(self, 'work_dir') and self.work_dir:
pass # 保持现有工作目录
else:
self.work_dir = None
# 1. 尝试从 Pipeline 获取
mask_path = None
if pipeline and hasattr(pipeline, 'water_mask_path') and pipeline.water_mask_path:
mask_path = pipeline.water_mask_path
# 2. 如果 Pipeline 中没有，则尝试直接从 Step1 界面读取（关键修复）
main_window = self.window()
if not mask_path and hasattr(main_window, 'step1_panel'):
if main_window.step1_panel.use_ndwi_radio.isChecked():
# NDWI模式，读取输出框的路径
mask_path = main_window.step1_panel.output_file.get_path()
else:
# 导入现有模式，读取输入框的路径
mask_path = main_window.step1_panel.mask_file.get_path()
# 填充获取到的路径
if mask_path:
self.water_mask_file.set_path(mask_path)
# 3. 自动填充输出路径（基于工作目录）
if self.work_dir:
# 生成输出耀斑掩膜的标准路径：workspace/2_glint_mask/glint_mask_out.dat
output_dir = os.path.join(self.work_dir, "2_glint_mask")
os.makedirs(output_dir, exist_ok=True)
default_output_path = os.path.join(output_dir, "glint_mask_out.dat").replace('\\', '/')
self.output_file.set_path(default_output_path)
else:
# 没有工作目录时，清空输出路径
self.output_file.set_path("")
def run_step(self):
"""独立运行步骤2"""
# 验证输入
img_path = self.img_file.get_path()
if not img_path:
QMessageBox.warning(self, "输入错误", "请选择影像文件！")
return
# 获取主窗口并运行步骤
main_window = self.window()
if hasattr(main_window, 'run_single_step'):
config = {'step2': self.get_config()}
main_window.run_single_step('step2', config)