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Diffstat (limited to 'zh-cn/opencv-cn.html.markdown')
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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) |