一:可以用鼠标左键按住拖动,路径所过区域就会被"模糊涂抹"。
这种方式非常适合快速搭建简单交互式图片编辑工具!
python
import cv2
import numpy as np
# 读取图片
img = cv2.imread('input.jpg')
img_disp = img.copy() # 显示用
smudge_radius = 15 # 涂抹半径(像素)
drawing = False # 鼠标是否按下
prev_pt = None # 记录上一个点
def smudge(img, pt, radius):
x, y = pt
h, w = img.shape[:2]
# 限制边界
x0, x1 = max(0, x-radius), min(w, x+radius)
y0, y1 = max(0, y-radius), min(h, y+radius)
roi = img[y0:y1, x0:x1]
if roi.shape[0]>1 and roi.shape[1]>1:
blur = cv2.blur(roi, (radius*2//3, radius*2//3))
img[y0:y1, x0:x1] = blur
def mouse_callback(event, x, y, flags, param):
global drawing, prev_pt, img_disp
if event == cv2.EVENT_LBUTTONDOWN:
drawing = True
prev_pt = (x, y)
smudge(img_disp, (x, y), smudge_radius)
elif event == cv2.EVENT_MOUSEMOVE:
if drawing and prev_pt is not None:
# 连续沿路径涂抹
cv2.line(img_disp, prev_pt, (x, y), (255,0,0), 1) # 可视路径(可删)
smudge(img_disp, (x, y), smudge_radius)
prev_pt = (x, y)
elif event == cv2.EVENT_LBUTTONUP:
drawing = False
prev_pt = None
# 创建窗口和回调
cv2.namedWindow('Smudge Paint')
cv2.setMouseCallback('Smudge Paint', mouse_callback)
while True:
cv2.imshow('Smudge Paint', img_disp)
key = cv2.waitKey(1)
if key == 27: # ESC退出
break
if key == ord('r'): # 按r重置
img_disp = img.copy()
cv2.destroyAllWindows()
cv2.imwrite('smudge_result.jpg', img_disp)
说明:
1、按住鼠标左键拖动即可"涂抹"。
2、按r键可以重置为原始图片。
3、涂抹原理:取鼠标周围一定半径区域,做均值模糊,并写回图片。
你可以把smudge函数换为其他混合算法,实现油画等效果。
二: 可以结合 Python、OpenCV 和鼠标事件,实现"自定义绘图方式,生成任意形状遮罩,修复大块杂物/划痕/文字等"。
原理:通过鼠标自由绘制遮罩区域,然后用 OpenCV 的 inpaint 修复工具进行内容感知填充。
python
import cv2
import numpy as np
img = cv2.imread('input.jpg')
img_disp = img.copy()
mask = np.zeros(img.shape[:2], dtype=np.uint8)
drawing = False
ix, iy = -1, -1
def draw_mask(event, x, y, flags, param):
global drawing, ix, iy, mask, img_disp
if event == cv2.EVENT_LBUTTONDOWN:
drawing = True
ix, iy = x, y
elif event == cv2.EVENT_MOUSEMOVE:
if drawing:
# 画粗一些的自由笔迹
cv2.circle(mask, (x, y), 12, 255, -1)
cv2.circle(img_disp, (x, y), 12, (0,0,255), -1) # 可视化红色笔迹
elif event == cv2.EVENT_LBUTTONUP:
drawing = False
cv2.namedWindow('Draw Mask')
cv2.setMouseCallback('Draw Mask', draw_mask)
while True:
cv2.imshow('Draw Mask', img_disp)
key = cv2.waitKey(1)
if key == 27:
break
if key == ord('r'): # 重置
img_disp = img.copy()
mask[:] = 0
if key == ord('f'): # 修复
# 用inpaint修复
result = cv2.inpaint(img, mask, inpaintRadius=8, flags=cv2.INPAINT_TELEA)
cv2.imshow('Inpaint result', result)
cv2.imwrite('inpaint_result.jpg', result)
cv2.destroyAllWindows()
使用说明
1、拖动鼠标左键,自由在图片上标记修复区域(红色标记,遮罩实际为 mask 数组)。
2、按 f 键,调用 OpenCV inpaint ,被覆盖区域自动内容感知修复(去除涂画的字、斑点、划痕等)。
3、按 r 键重置图片和遮罩。
4、修复结果自动保存为 'inpaint_result.jpg'。