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import os
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from PIL import Image
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import glob
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def crop_images_in_folder(input_folder, output_folder, first_image_top=0.50, first_image_bottom=0.92,
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other_images_top=0.08, other_images_bottom=0.92):
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"""
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裁剪输入文件夹中的图片：
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- 第一张图片裁剪掉上35%和下8%
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- 其他图片裁剪掉上8%和下8%
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并将裁剪后的图片保存到输出文件夹中。
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:param input_folder: 输入文件夹路径，包含要裁剪的图片
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:param output_folder: 输出文件夹路径，用于保存裁剪后的图片
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:param first_image_top: 第一张图片上边裁剪百分比（0到1之间的值）
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:param first_image_bottom: 第一张图片下边裁剪百分比（0到1之间的值）
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:param other_images_top: 其他图片上边裁剪百分比（0到1之间的值）
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:param other_images_bottom: 其他图片下边裁剪百分比（0到1之间的值）
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"""
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# 确保输出文件夹存在
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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# 获取输入文件夹中的所有图片文件
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image_files = glob.glob(os.path.join(input_folder, '*'))
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image_files.sort() # 按文件名排序，确保顺序一致
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for i, image_file in enumerate(image_files):
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try:
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# 打开图片
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image = Image.open(image_file)
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# 获取图片的宽度和高度
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width, height = image.size
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# 定义裁剪区域
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if i == 0:
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# 第一张图片的裁剪比例
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top_crop = int(height * first_image_top)
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bottom_crop = int(height * first_image_bottom)
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else:
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# 其他图片的裁剪比例
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top_crop = int(height * other_images_top)
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bottom_crop = int(height * other_images_bottom)
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# 裁剪图片
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cropped_image = image.crop((0, top_crop, width, bottom_crop))
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# 构建保存路径
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file_name = os.path.basename(image_file)
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output_file = os.path.join(output_folder, file_name)
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# 保存裁剪后的图片
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cropped_image.save(output_file)
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# 如果你想查看裁剪后的图片，可以取消下面的注释
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# cropped_image.show()
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print(f'Processed and saved: {output_file}')
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except Exception as e:
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print(f'Error processing file {image_file}: {e}')
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def process_all_folders(base_input_folder, base_output_folder):
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"""
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对基础输入文件夹下的每个子文件夹中的图片进行裁剪处理，并将结果保存到对应的输出文件夹中。
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:param base_input_folder: 基础输入文件夹路径，包含子文件夹
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:param base_output_folder: 基础输出文件夹路径，用于保存裁剪后的图片
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"""
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# 获取基础输入文件夹中的所有子文件夹
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subfolders = [f.path for f in os.scandir(base_input_folder) if f.is_dir()]
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for subfolder in subfolders:
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# 构建对应的输出子文件夹路径
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folder_name = os.path.basename(subfolder)
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output_folder = os.path.join(base_output_folder, folder_name)
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# 执行裁剪操作
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crop_images_in_folder(subfolder, output_folder)
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# 使用示例
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base_input_folder = r'E:\Project\PaddleOCR\bilu_txt_dispose\bilu_img_2'
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base_output_folder = r'E:\Project\PaddleOCR\bilu_txt_dispose\Crop_img'
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process_all_folders(base_input_folder, base_output_folder)
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