[opencv/*] fix empty links and format code

1 files changed, 44 insertions, 44 deletions

diff --git a/zh-cn/opencv-cn.html.markdown b/zh-cn/opencv-cn.html.markdown
index 2932e586..596430f6 100644
--- a/zh-cn/opencv-cn.html.markdown
+++ b/zh-cn/opencv-cn.html.markdown
@@ -8,18 +8,18 @@ translators:
     - ["GengchenXU", "https://github.com/GengchenXU"]
 lang: zh-cn
 ---
-### Opencv
 
-Opencv（开源计算机视觉）是一个编程功能库，主要面向实时计算机视觉。最初由英特尔开发，后来由Willow Garage，然后Itseez（后来被英特尔收购）支持。Opencv 目前支持多种语言，如C++、Python、Java 等
+OpenCV（开源计算机视觉）是一个编程功能库，主要面向实时计算机视觉。最初由英特尔开发，后来由Willow Garage，然后Itseez（后来被英特尔收购）支持。OpenCV 目前支持多种语言，如C++、Python、Java 等
 
 #### 安装
+
 有关在计算机上安装 OpenCV，请参阅这些文章。
 
-* Windows 安装说明： [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows]()
-* Mac 安装说明 (High Sierra): [https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a]()
-* Linux 安装说明 （Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
+* [Windows 安装说明](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows)
+* [Mac 安装说明](https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a) (High Sierra)
+* [Linux 安装说明](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv) （Ubuntu 18.04)
 
-### 在这里，我们将专注于 OpenCV 的 python 实现
+### 在这里，我们将专注于 OpenCV 的 Python 实现
 
 ```python
 # OpenCV读取图片
@@ -28,14 +28,14 @@ img = cv2.imread('cat.jpg')
 
 # 显示图片
 # imshow() 函数被用来显示图片
-cv2.imshow('Image',img)
+cv2.imshow('Image', img)
 # 第一个参数是窗口的标题，第二个参数是image
 # 如果你得到错误，对象类型为None，你的图像路径可能是错误的。请重新检查图像包
 cv2.waitKey(0)
 # waitKey() 是一个键盘绑定函数，参数以毫秒为单位。对于GUI事件，必须使用waitKey()函数。
 
 # 保存图片
-cv2.imwrite('catgray.png',img)
+cv2.imwrite('catgray.png', img)
 # 第一个参数是文件名，第二个参数是图像
 
 # 转换图像灰度
@@ -43,11 +43,11 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
 # 从摄像头捕捉视频
 cap = cv2.VideoCapture(0)
-#0 是你的相机，如果你有多台相机，你需要输入他们的id
-while(True):
+# 0 是你的相机，如果你有多台相机，你需要输入他们的id
+while True:
     # 一帧一帧地获取
     _, frame = cap.read()
-    cv2.imshow('Frame',frame)
+    cv2.imshow('Frame', frame)
     # 当用户按下q ->退出
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
@@ -56,54 +56,54 @@ cap.release()
 
 # 在文件中播放视频
 cap = cv2.VideoCapture('movie.mp4')
-while(cap.isOpened()):
+while cap.isOpened():
     _, frame = cap.read()
     # 灰度播放视频
     gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-    cv2.imshow('frame',gray)
+    cv2.imshow('frame', gray)
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
 cap.release()
 
 # 在OpenCV中画线
-# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)(注 color颜色rgb参数 thickness粗细)
-cv2.line(img,(0,0),(511,511),(255,0,0),5)
+# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)(注 color颜色rgb参数 thickness粗细)
+cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
 
 # 画矩形
-# cv2.rectangle(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
+# cv2.rectangle(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
 # 粗细= -1用于填充矩形
-cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
+cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
 
 # 画圆
-cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
-cv2.circle(img,(200,90), 100, (0,0,255), -1)
+# cv2.circle(img, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
+cv2.circle(img, (200, 90), 100, (0, 0, 255), -1)
 
 # 画椭圆
-cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
+cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
 
 # 在图像上增加文字
-cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
+cv2.putText(img, "Hello World!!!", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
 
 # 合成图像
 img1 = cv2.imread('cat.png')
 img2 = cv2.imread('openCV.jpg')
-dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
+dst = cv2.addWeighted(img1, 0.5, img2, 0.5, 0)
 
 # 阈值图像
 # 二进制阈值
-_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
+_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
 # Adaptive Thresholding
-adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
+adapThres = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
 
 # 模糊的形象
 # 高斯模糊
-blur = cv2.GaussianBlur(img,(5,5),0)
+blur = cv2.GaussianBlur(img, (5, 5), 0)
 # 模糊中值
-medianBlur = cv2.medianBlur(img,5)
+medianBlur = cv2.medianBlur(img, 5)
 
 # Canny 边缘检测
-img = cv2.imread('cat.jpg',0)
-edges = cv2.Canny(img,100,200)
+img = cv2.imread('cat.jpg', 0)
+edges = cv2.Canny(img, 100, 200)
 
 # 用Haar Cascades进行人脸检测
 # 下载 Haar Cascades 在 https://github.com/opencv/opencv/blob/master/data/haarcascades/
@@ -116,30 +116,30 @@ img = cv2.imread('human.jpg')
 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
 aces = face_cascade.detectMultiScale(gray, 1.3, 5)
-for (x,y,w,h) in faces:
-    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
-    roi_gray = gray[y:y+h, x:x+w]
-    roi_color = img[y:y+h, x:x+w]
+for x, y, w, h in faces:
+    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
+    roi_gray = gray[y : y + h, x : x + w]
+    roi_color = img[y : y + h, x : x + w]
     eyes = eye_cascade.detectMultiScale(roi_gray)
-    for (ex,ey,ew,eh) in eyes:
-        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
+    for ex, ey, ew, eh in eyes:
+        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
 
-cv2.imshow('img',img)
+cv2.imshow('img', img)
 cv2.waitKey(0)
 
 cv2.destroyAllWindows()
-# destroyAllWindows() destroys all windows. 
+# destroyAllWindows() destroys all windows.
 # 如果您希望销毁特定窗口，请传递您创建的窗口的确切名称。
 ```
 
 ### 进一步阅读：
 
-* Download Cascade from [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
-* OpenCV 绘图函数 [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]()
-* 最新的语言参考 [https://opencv.org]()
-* 更多的资源 [https://en.wikipedia.org/wiki/OpenCV]()
+* Download Cascade from [https://github.com/opencv/opencv/blob/master/data/haarcascades](https://github.com/opencv/opencv/blob/master/data/haarcascades)
+* OpenCV 绘图函数 [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
+* 最新的语言参考 [https://opencv.org](https://opencv.org)
+* 更多的资源 [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
 * 优秀的的 OpenCV 教程
-    * [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html]()
-    * [https://realpython.com/python-opencv-color-spaces]()
-    * [https://pyimagesearch.com]()
-    * [https://www.learnopencv.com]()
+    * [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html)
+    * [https://realpython.com/python-opencv-color-spaces](https://realpython.com/python-opencv-color-spaces)
+    * [https://pyimagesearch.com](https://pyimagesearch.com)
+    * [https://www.learnopencv.com](https://www.learnopencv.com)