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liunian0717 · liunian0717 · commit a82183122bac · 2024-11-19T14:47:33.000Z
diff --git a/Extra-02-High-Quality-Save-and-Matplotlib/cv2_using_matplotlib_show_image.py b/Extra-02-High-Quality-Save-and-Matplotlib/cv2_using_matplotlib_show_image.py
@@ -1,7 +1,9 @@
 import cv2
+# from PIL import Image
 import matplotlib.image as pli
 import matplotlib.pyplot as plt
 
+
 # 1.显示灰度图
 img = cv2.imread('lena.jpg', 0)
 plt.imshow(img, cmap='gray')
diff --git a/Extra-10-Contours-Hierarchy/cv2_exercise1.py b/Extra-10-Contours-Hierarchy/cv2_exercise1.py
@@ -8,7 +8,7 @@
     img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
 
 # 2.使用cv2.RETR_CCOMP寻找轮廓
-image, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_CCOMP, 2)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_CCOMP, 2)
 
 # 3.找到内层轮廓并填充
 # hierarchy的形状为(1,6,4)，使用np.squeeze压缩一维数据，变成(6,4)
diff --git a/Extra-10-Contours-Hierarchy/cv2_understand_hierarchy.py b/Extra-10-Contours-Hierarchy/cv2_understand_hierarchy.py
@@ -7,7 +7,7 @@
     img_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
 
 # 2.寻找轮廓 cv2.RETR_TREE
-image, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, 2)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, 2)
 
 # 3.绘制轮廓
 print(len(contours), hierarchy, sep='\n')  # 8条
@@ -20,7 +20,7 @@
 
 # 不同轮廓寻找方式的不同
 # cv2.RETR_LIST
-_, _, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
+_, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, 2)
 print(hierarchy)
 # 结果应该如下：
 # [[[1 - 1 - 1 - 1]
@@ -34,7 +34,7 @@
 
 
 # cv2.RETR_EXTERNAL
-_, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, 2)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, 2)
 print(len(contours), hierarchy, sep='\n')
 # 结果应该如下：
 # 3
@@ -44,7 +44,7 @@
 
 
 # cv2.RETR_CCOMP
-_, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_CCOMP, 2)
+contours, hierarchy = cv2.findContours(thresh, cv2.RETR_CCOMP, 2)
 print(hierarchy)
 # 结果应该如下：
 # [[[1 - 1 - 1 - 1]
diff --git a/Extra-11-Convex-Hull/cv2_convex_hull.py b/Extra-11-Convex-Hull/cv2_convex_hull.py
@@ -6,14 +6,14 @@
 # 1.先找到轮廓
 img = cv2.imread('unregular.jpg', 0)
 _, thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-image, contours, hierarchy = cv2.findContours(thresh, 3, 2)
+contours, hierarchy = cv2.findContours(thresh, 3, 2)
 cnt = contours[0]
 
 # 2.进行多边形逼近，得到多边形的角点
 approx = cv2.approxPolyDP(cnt, 3, True)
 
 # 3.画出多边形
-image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
+image = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
 cv2.polylines(image, [approx], True, (0, 255, 0), 2)
 print(len(approx))  # 角点的个数
 cv2.imshow('approxPloyDP', image)
@@ -24,14 +24,14 @@
 # 1.先找到轮廓
 img = cv2.imread('convex.jpg', 0)
 _, thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-image, contours, hierarchy = cv2.findContours(thresh, 3, 2)
+contours, hierarchy = cv2.findContours(thresh, 3, 2)
 cnt = contours[0]
 
 # 2.寻找凸包，得到凸包的角点
 hull = cv2.convexHull(cnt)
 
 # 3.绘制凸包
-image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
+image = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
 cv2.polylines(image, [hull], True, (0, 255, 0), 2)
 cv2.imshow('convex hull', image)
 cv2.waitKey(0)
