python批量剪切图片左右两侧

python自动检测图片两侧距离的代码：

import cv2
import numpy as np

image_path = r"C:\Users\18102\Downloads\ok\0001.png"   # 请改为实际的一张截图路径

img = cv2.imread(image_path)
if img is None:
    print("无法读取图片，请检查路径")
    exit()

clone = img.copy()
points = []  # 存储两个点击点

def click_event(event, x, y, flags, param):
    if event == cv2.EVENT_LBUTTONDOWN:
        points.append((x, y))
        cv2.circle(clone, (x, y), 5, (0, 0, 255), -1)
        cv2.putText(clone, f"({x},{y})", (x+10, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,0,255), 2)
        cv2.imshow("Image", clone)
        print(f"已记录点: ({x}, {y})")
        if len(points) == 2:
            # 计算左右裁剪量
            x1, y1 = points[0]
            x2, y2 = points[1]
            left_crop = min(x1, x2)          # 左边裁剪宽度
            right_crop = img.shape[1] - max(x1, x2)   # 右边裁剪宽度
            print("\n========== 裁剪参数 ==========")
            print(f"左侧应裁剪宽度: {left_crop}px")
            print(f"右侧应裁剪宽度: {right_crop}px")
            print("================================")
            cv2.destroyAllWindows()

cv2.namedWindow("Image", cv2.WINDOW_NORMAL)
cv2.imshow("Image", clone)
cv2.setMouseCallback("Image", click_event)
print("请依次点击：\n1. 左侧可见内容的左边缘（要保留的起始点）\n2. 右侧滚动条内侧边缘（要保留的结束点）")
cv2.waitKey(0)
cv2.destroyAllWindows()

python批量剪切左右两侧的代码：

import os
import cv2

# ---------- 配置 ----------
input_dir = r"C:\Users\18102\Downloads\ok"
output_dir = r"C:\Users\18102\Downloads\ok_cropped"
LEFT_CROP = 159
RIGHT_CROP = 140

# ---------- 创建输出目录 ----------
os.makedirs(output_dir, exist_ok=True)

# 获取所有 PNG 文件列表
png_files = [f for f in os.listdir(input_dir) if f.lower().endswith('.png')]
total = len(png_files)

if total == 0:
    print("❌ 没有找到任何 PNG 图片，请检查目录。")
    exit()

print(f"📁 找到 {total} 张 PNG 图片。")

# ---------- 先处理前 3 张 ----------
sample_count = min(3, total)
print(f"\n🔄 正在处理前 {sample_count} 张作为预览...")

for i in range(sample_count):
    filename = png_files[i]
    src_path = os.path.join(input_dir, filename)
    img = cv2.imread(src_path, cv2.IMREAD_UNCHANGED)
    if img is None:
        print(f"⚠️ 跳过无法读取的文件: {filename}")
        continue

    h, w = img.shape[:2]
    left = LEFT_CROP
    right = w - RIGHT_CROP

    if left >= right:
        print(f"⚠️ 警告：{filename} 裁剪后宽度为0，跳过")
        continue

    cropped = img[:, left:right]
    dst_path = os.path.join(output_dir, filename)
    cv2.imwrite(dst_path, cropped)
    print(f"✅ 已处理: {filename} -> 新尺寸 ({cropped.shape[1]}, {cropped.shape[0]})")

print(f"\n📂 预览图片已保存到: {output_dir}")
print("请打开该目录查看前 3 张图片的裁剪效果。")

# ---------- 询问是否继续 ----------
while True:
    choice = input("\n是否继续处理剩余图片？(y/n，默认 y): ").strip().lower()
    if choice in ('y', 'yes', ''):
        break
    elif choice in ('n', 'no'):
        print("已取消，退出脚本。")
        exit()
    else:
        print("请输入 y 或 n。")

# ---------- 处理剩余图片 ----------
print(f"\n🔄 正在处理剩余 {total - sample_count} 张图片...")
for i in range(sample_count, total):
    filename = png_files[i]
    src_path = os.path.join(input_dir, filename)
    img = cv2.imread(src_path, cv2.IMREAD_UNCHANGED)
    if img is None:
        print(f"⚠️ 跳过无法读取的文件: {filename}")
        continue

    h, w = img.shape[:2]
    left = LEFT_CROP
    right = w - RIGHT_CROP

    if left >= right:
        print(f"⚠️ 警告：{filename} 裁剪后宽度为0，跳过")
        continue

    cropped = img[:, left:right]
    dst_path = os.path.join(output_dir, filename)
    cv2.imwrite(dst_path, cropped)
    print(f"✅ 已处理: {filename} -> 新尺寸 ({cropped.shape[1]}, {cropped.shape[0]})")

print(f"\n🎉 全部处理完成！共处理 {total} 张图片。")
print(f"📁 输出目录: {output_dir}")