2025-08-13 14:49:06 +08:00
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import os
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from PIL import Image
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import numpy as np
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def is_large_gray(image, gray_lower_threshold=70, gray_upper_threshold=230, gray_ratio_threshold=0.7):
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"""
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判断图片是否大面积为灰色（基于像素的颜色值）
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参数：
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- image: 图片对象（PIL Image）
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- gray_lower_threshold: 灰色下限（低于此值不算“灰色”）
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- gray_upper_threshold: 灰色上限（高于此值不算“灰色”）
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- gray_ratio_threshold: 灰色像素占比阈值（>70% 算大面积灰色）
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返回：True 表示是大面积灰色，应删除
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"""
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# 将图片转换为 numpy 数组
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img_array = np.array(image)
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# 获取图片的尺寸
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height, width, _ = img_array.shape
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total_pixels = height * width
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# 判断是否为灰色像素（R、G、B 值都在 gray_lower_threshold 和 gray_upper_threshold 之间）
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gray_pixels = np.sum(
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(img_array[:, :, 0] >= gray_lower_threshold) &
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(img_array[:, :, 0] <= gray_upper_threshold) &
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(img_array[:, :, 1] >= gray_lower_threshold) &
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(img_array[:, :, 1] <= gray_upper_threshold) &
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(img_array[:, :, 2] >= gray_lower_threshold) &
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(img_array[:, :, 2] <= gray_upper_threshold)
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)
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gray_ratio = gray_pixels / total_pixels
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return gray_ratio > gray_ratio_threshold
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def process_images_in_folder(input_folder, output_folder):
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"""
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遍历文件夹，旋转图片并根据条件保存到输出文件夹
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"""
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# 创建输出文件夹（如果不存在）
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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# 支持的图片格式
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supported_formats = ('.jpg', '.jpeg', '.png', '.bmp', '.tiff', '.tif', '.webp')
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for filename in os.listdir(input_folder):
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file_path = os.path.join(input_folder, filename)
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if not os.path.isfile(file_path):
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continue
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if not filename.lower().endswith(supported_formats):
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continue
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print(f"处理: {filename}")
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try:
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with Image.open(file_path) as img:
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# 判断是否为大面积灰色
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if is_large_gray(img):
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print(f" 🔴 不保存大面积灰色图片: {filename}")
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continue # 不保存该图片
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# 否则：打开并旋转 180 度
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rotated_img = img.rotate(180, expand=False)
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# 构建新的保存路径
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save_path = os.path.join(output_folder, filename)
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# 保持原格式保存（覆盖原图）
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rotated_img.save(save_path, format=img.format)
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print(f" ✅ 已旋转并保存至: {save_path}")
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except Exception as e:
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print(f" ❌ 处理失败 {filename}: {e}")
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# ================ 使用示例 ================
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if __name__ == "__main__":
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2025-09-01 14:14:18 +08:00
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folder = "/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/f15"
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output_folder = "/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/f15"
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2025-08-13 14:49:06 +08:00
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if not os.path.exists(folder):
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print("❌ 输入文件夹不存在！")
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else:
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process_images_in_folder(folder, output_folder)
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2026-03-10 13:58:21 +08:00
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print("✅ 所有图片处理完成！")
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