基于Python开发图片文件信息统计工具

class ImageInfoFrame(wx.Frame):
    def __init__(self):
        super().__init__(None, title="图片文件信息统计", size=(600, 400))
        
        # 创建界面组件
        panel = wx.Panel(self)
        main_sizer = wx.BoxSizer(wx.VERTICAL)
        
        # 标题、按钮、进度条等组件布局

def find_image_files(self, folder_path):
    """递归查找所有图片文件"""
    image_files = []
    image_extensions = {'.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff', '.tif', '.webp'}
    
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            _, ext = os.path.splitext(file.lower())
            if ext in image_extensions:
                image_files.append(os.path.join(root, file))
    return image_files

def get_image_info(self, file_path):
    """提取单个图片文件的完整信息"""
    try:
        # 文件系统信息
        stat = os.stat(file_path)
        filename = os.path.basename(file_path)
        date = datetime.datetime.fromtimestamp(stat.st_mtime).strftime('%Y-%m-%d %H:%M:%S')
        size = stat.st_size
        
        # 图片特有信息
        with Image.open(file_path) as img:
            width, height = img.size
            resolution = f"{width}x{height}"
            
        return {
            'filename': filename,
            'path': str(file_path),
            'date': date,
            'size': size,
            'resolution': resolution
        }
    except Exception:
        return None

def export_to_excel(self, image_info_list, output_path):
    """高效的Excel数据导出"""
    workbook = Workbook()
    worksheet = workbook.active
    worksheet.title = '图片信息'
    
    # 设置表头样式
    headers = ['文件名', '完整路径', '修改日期', '文件大小(字节)', '分辨率']
    for col, header in enumerate(headers, 1):
        cell = worksheet.cell(row=1, column=col, value=header)
        cell.font = Font(bold=True)
    
    # 批量写入数据
    for row, info in enumerate(image_info_list, 2):
        worksheet.cell(row=row, column=1, value=info['filename'])
        # ... 其他字段
    
    # 自动调整列宽
    worksheet.column_dimensions['A'].width = 25
    workbook.save(output_path)

def on_start_scan(self, event):
    # UI准备工作
    self.scan_btn.Enable(False)
    wx.CallAfter(self.process_images, output_path)
 
def process_images(self, output_path):
    # 在后台线程中处理大量文件
    for file_path in image_files:
        # 处理单个文件
        if processed % 10 == 0:
            wx.GetApp().Yield()  # 让UI保持响应

# 实时更新处理进度
progress = int((processed / total_files) * 100)
self.progress.SetValue(progress)
self.status_text.SetLabel(f"已处理 {processed}/{total_files} 个文件...")

try:
    # 主要处理逻辑
    with Image.open(file_path) as img:
        width, height = img.size
except PIL.UnidentifiedImageError:
    # 处理无法识别的图片格式
    resolution = "格式不支持"
except PermissionError:
    # 处理权限问题
    return None
except Exception as e:
    # 通用异常处理
    return None

try:
    # 文件处理逻辑
except Exception as e:
    error_msg = f"处理过程中出现错误: {str(e)}"
    wx.MessageBox(error_msg, "错误", wx.OK | wx.ICON_ERROR)

# 1. 安装依赖库
pip install wxpython pillow openpyxl
 
# 2. 下载源代码
# 3. 运行程序
python image_info_extractor.py