[opencv/*] fix empty links and format code

de-de/opencv-de.html.markdown

@@ -8,7 +8,6 @@ translators:
     - ["Dennis Keller", "https://github.com/denniskeller"]
 lang: de-de
 ---
-### OpenCV
 
 OpenCV (Open Source Computer Vision) ist eine Bibliothek von Programmierfunktionen,
 die hauptsächlich auf maschinelles Sehen in Echtzeit ausgerichtet ist.
@@ -20,9 +19,9 @@ OpenCV unterstützt derzeit eine Vielzahl von Sprachen, wie C++, Python, Java uv
 
 Bitte lies diesen Artikel für die Installation von OpenCV auf deinem Computer.
 
-* Windows Installationsanleitung: [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]()
+* [Windows Installationsanleitung](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 Installationsanleitung (High Sierra): [https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a]()
+* [Mac Installationsanleitung](https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a) (High Sierra)
-* Linux Installationsanleitung (Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
+* [Linux Installationsanleitung](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv) (Ubuntu 18.04)
 
 ### Hier werden wir uns auf die Pythonimplementierung von OpenCV konzentrieren.
 
@@ -33,7 +32,7 @@ img = cv2.imread('Katze.jpg')
 
 # Bild darstellen
 # Die imshow() Funktion wird verwendet um das Display darzustellen.
-cv2.imshow('Image',img)
+cv2.imshow('Image', img)
 # Das erste Argument ist der Titel des Fensters und der zweite Parameter ist das Bild
 # Wenn du den Fehler Object Type None bekommst, ist eventuell dein Bildpfad falsch.
 # Bitte überprüfe dann den Pfad des Bildes erneut.
@@ -42,7 +41,7 @@ cv2.waitKey(0)
 # Millisekunden an. Für GUI Ereignisse MUSST du die waitKey() Funktion verwenden.
 
 # Ein Bild schreiben
-cv2.imwrite('graueKatze.png',img)
+cv2.imwrite('graueKatze.png', img)
 # Das erste Argument ist der Dateiname und das zweite ist das Bild
 
 # Konvertiert das Bild zu Graustufen
@@ -51,10 +50,10 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 # Videoaufnahme von der Webcam
 cap = cv2.VideoCapture(0)
 # 0 ist deine Kamera, wenn du mehrere Kameras hast musst du deren Id eingeben
-while(True):
+while True:
     # Erfassen von Einzelbildern
     _, frame = cap.read()
-    cv2.imshow('Frame',frame)
+    cv2.imshow('Frame', frame)
     # Wenn der Benutzer q drückt -> beenden
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
@@ -63,59 +62,60 @@ cap.release()
 
 # Wiedergabe von Videos aus einer Datei
 cap = cv2.VideoCapture('film.mp4')
-while(cap.isOpened()):
+while cap.isOpened():
     _, frame = cap.read()
     # Das Video in Graustufen abspielen
     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()
 
 # Zeichne eine Linie in OpenCV
-# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
+# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
-cv2.line(img,(0,0),(511,511),(255,0,0),5)
+cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
 
 # Zeichne ein Rechteck
-# 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)
 # thickness = -1 wird zum Füllen des Rechtecks verwendet
-cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
+cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
 
 # Zeichne ein Kreis
-cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
+# 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, (200, 90), 100, (0, 0, 255), -1)
 
 # Zeichne eine Ellipse
-cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
+cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
 
 # Text auf Bildern hinzufügen
-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)
 
 # Bilder zusammenfügen
 img1 = cv2.imread('Katze.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)
 
 # Schwellwertbild
 # Binäre Schwellenwerte
-_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
+_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
 # Anpassbare Schwellenwerte
-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)
 
 # Weichzeichnung von einem Bild
 # Gaußscher Weichzeichner
-blur = cv2.GaussianBlur(img,(5,5),0)
+blur = cv2.GaussianBlur(img, (5, 5), 0)
 # Rangordnungsfilter
-medianBlur = cv2.medianBlur(img,5)
+medianBlur = cv2.medianBlur(img, 5)
 
 # Canny-Algorithmus
-img = cv2.imread('Katze.jpg',0)
+img = cv2.imread('Katze.jpg', 0)
-edges = cv2.Canny(img,100,200)
+edges = cv2.Canny(img, 100, 200)
 
 # Gesichtserkennung mit Haarkaskaden
 # Lade die Haarkaskaden von https://github.com/opencv/opencv/blob/master/data/haarcascades/ herunter
 import cv2
 import numpy as np
+
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
 
@@ -123,15 +123,15 @@ img = cv2.imread('Mensch.jpg')
 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
 aces = face_cascade.detectMultiScale(gray, 1.3, 5)
-for (x,y,w,h) in faces:
+for x, y, w, h in faces:
-    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
-    roi_gray = gray[y:y+h, x:x+w]
+    roi_gray = gray[y : y + h, x : x + w]
-    roi_color = img[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:
+    for ex, ey, ew, eh in eyes:
-        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
+        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()
@@ -141,13 +141,14 @@ cv2.destroyAllWindows()
 ```
 
 ### Weiterführende Literatur:
-* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
+
-* OpenCV Zeichenfunktionen [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]()
+* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades](https://github.com/opencv/opencv/blob/master/data/haarcascades)
-* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org]()
+* OpenCV Zeichenfunktionen [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
-* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV]()
+* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org](https://opencv.org)
+* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
 * Gute OpenCV Tutorials
-    * [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://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://realpython.com/python-opencv-color-spaces)
-    * [https://pyimagesearch.com]()
+    * [https://pyimagesearch.com](https://pyimagesearch.com)
-    * [https://www.learnopencv.com]()
+    * [https://www.learnopencv.com](https://www.learnopencv.com)
-    * [https://docs.opencv.org/master/]()
+    * [https://docs.opencv.org/master/](https://docs.opencv.org/master/)

opencv.html.markdown

@@ -9,7 +9,7 @@ contributors:
 
 OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision.
 Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel).
-Opencv currently supports wide variety of languages like, C++, Python, Java etc
+OpenCV currently supports wide variety of languages like, C++, Python, Java etc
 
 #### Installation
 Please refer to these articles for installation of OpenCV on your computer.
@@ -27,14 +27,14 @@ img = cv2.imread('cat.jpg')
 
 # Displaying the image
 # imshow() function is used to display the image
-cv2.imshow('Image',img)
+cv2.imshow('Image', img)
 # Your first arguement is the title of the window and second parameter is image
 # If you are getting error, Object Type None, your image path may be wrong. Please recheck the pack to the image
 cv2.waitKey(0)
 # waitKey() is a keyboard binding function and takes arguement in milliseconds. For GUI events you MUST use waitKey() function.
 
 # Writing an image
-cv2.imwrite('catgray.png',img)
+cv2.imwrite('catgray.png', img)
 # first arguement is the file name and second is the image
 
 # Convert image to grayscale
@@ -42,11 +42,11 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
 # Capturing Video from Webcam
 cap = cv2.VideoCapture(0)
-#0 is your camera, if you have multiple camera, you need to enter their id
+# 0 is your camera, if you have multiple camera, you need to enter their id
-while(True):
+while True:
     # Capturing frame-by-frame
     _, frame = cap.read()
-    cv2.imshow('Frame',frame)
+    cv2.imshow('Frame', frame)
     # When user presses q -> quit
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
@@ -55,59 +55,60 @@ cap.release()
 
 # Playing Video from file
 cap = cv2.VideoCapture('movie.mp4')
-while(cap.isOpened()):
+while cap.isOpened():
     _, frame = cap.read()
     # Play the video in grayscale
     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()
 
 # Drawing The Line in OpenCV
-# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
+# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
-cv2.line(img,(0,0),(511,511),(255,0,0),5)
+cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
 
 # Drawing Rectangle
-# 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)
 # thickness = -1 used for filling the rectangle
-cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
+cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
 
 # Drawing Circle
-cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
+# 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, (200, 90), 100, (0, 0, 255), -1)
 
 # Drawing Ellipse
-cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
+cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
 
 # Adding Text On Images
-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)
 
 # Blending Images
 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)
 
 # Thresholding image
 # Binary Thresholding
-_,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)
 
 # Blur Image
 # Gaussian Blur
-blur = cv2.GaussianBlur(img,(5,5),0)
+blur = cv2.GaussianBlur(img, (5, 5), 0)
 # Median Blur
-medianBlur = cv2.medianBlur(img,5)
+medianBlur = cv2.medianBlur(img, 5)
 
 # Canny Edge Detection
-img = cv2.imread('cat.jpg',0)
+img = cv2.imread('cat.jpg', 0)
-edges = cv2.Canny(img,100,200)
+edges = cv2.Canny(img, 100, 200)
 
 # Face Detection using Haar Cascades
 # Download Haar Cascades from https://github.com/opencv/opencv/blob/master/data/haarcascades/
 import cv2
 import numpy as np
+
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
 
@@ -115,17 +116,17 @@ img = cv2.imread('human.jpg')
 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
 faces = face_cascade.detectMultiScale(gray, 1.3, 5)
-for (x,y,w,h) in faces:
+for x, y, w, h in faces:
     # Draw a rectangle around detected face
-    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
-    roi_gray = gray[y:y+h, x:x+w]
+    roi_gray = gray[y : y + h, x : x + w]
-    roi_color = img[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:
+    for ex, ey, ew, eh in eyes:
         # Draw a rectangle around detected eyes
-        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
+        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()
@@ -139,7 +140,7 @@ cv2.destroyAllWindows()
 * OpenCV drawing Functions [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
 * An up-to-date language reference can be found at [https://opencv.org](https://opencv.org)
 * Additional resources may be found at [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
-* Good OpenCv Tutorials
+* Good OpenCV Tutorials
     * [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)

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]()
+* [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]()
+* [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 （Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
+* [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
+# 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):
+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, (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, (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, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
-cv2.circle(img,(200,90), 100, (0,0,255), -1)
+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)
+img = cv2.imread('cat.jpg', 0)
-edges = cv2.Canny(img,100,200)
+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/
@@ -116,15 +116,15 @@ 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:
+for x, y, w, h in faces:
-    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
-    roi_gray = gray[y:y+h, x:x+w]
+    roi_gray = gray[y : y + h, x : x + w]
-    roi_color = img[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:
+    for ex, ey, ew, eh in eyes:
-        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
+        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()
@@ -134,12 +134,12 @@ cv2.destroyAllWindows()
 
 ### 进一步阅读：
 
-* Download Cascade from [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
+* 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]()
+* 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]()
+* 最新的语言参考 [https://opencv.org](https://opencv.org)
-* 更多的资源 [https://en.wikipedia.org/wiki/OpenCV]()
+* 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://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://realpython.com/python-opencv-color-spaces)
-    * [https://pyimagesearch.com]()
+    * [https://pyimagesearch.com](https://pyimagesearch.com)
-    * [https://www.learnopencv.com]()
+    * [https://www.learnopencv.com](https://www.learnopencv.com)