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标题: 五福的问题 [打印本页]

作者: kk落 时间: 2022-11-21 21:41
标题: 五福的问题
本帖最后由 kk落于 2022-11-21 22:03 编辑

import cv2
from matplotlib import pyplot as plt
import numpy as np

# 设定图片显示大小和颜色映射表
plt.rcParams['figure.figsize'] = (16, 8)
plt.rcParams['image.cmap'] = 'gray'
# 读取图片
img = cv2.imread('fu.png')

# 转换颜色模式，显示原图
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
plt.subplot(2, 3, 1)
plt.imshow(img)
plt.axis('off')

# 分离通道
r,g,b = cv2.split(img)
plt.subplot(2, 3, 2)
plt.imshow(r)
plt.axis('off')

# 轮廓提取
_, img_bin = cv2.threshold(r, 50, 255, cv2.THRESH_BINARY)
_, contours, _ = cv2.findContours(img_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
img_cont = np.zeros(img_bin.shape, np.uint8)
cv2.drawContours(img_cont, contours,-1,255,3)
plt.subplot(2, 3, 3)
plt.imshow(img_cont)
plt.axis('off')

# 反色
img_i = np.asarray(img)
img_i = 255 - img_i
plt.subplot(2, 3, 4)
plt.imshow(img_i)
plt.axis('off')

# 图像腐蚀
kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(25, 25))
eroded = cv2.erode(r, kernel)
size = img.shape
# 图像切割
eroded = eroded[int(size[1]*0.15):int(size[1]*0.7),int(size[0]*0.2):int(size[0]*0.85)]
plt.subplot(2, 3, 5)
plt.imshow(eroded)
plt.axis('off')

# 图像旋转
img_r = cv2.flip(img, -1)
plt.subplot(2, 3, 6)
plt.imshow(img_r)
plt.axis('off')

plt.show()

报错：
ValueError                               Traceback (most recent call last)
<ipython-input-1-8bfe5616c5bc> in <module>()
23 # 轮廓提取
24 _, img_bin = cv2.threshold(r, 50, 255, cv2.THRESH_BINARY)
---> 25_, contours, _ = cv2.findContours(img_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
26 img_cont = np.zeros(img_bin.shape, np.uint8)
27 cv2.drawContours(img_cont, contours,-1,255,3)
ValueError: not enough values to unpack (expected 3, got 2)
求解决

作者: crossin先生 时间: 2022-11-21 23:08
版本问题，你这个版本的 cv2.findContours 是返回2个返回值，把25行最前面的一个 _ , 去掉

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