oculus cv2

　　　Note: This article is all original, ZMAN (http://www.cnblogs.com/zmanone/)OPENCV is currently the latest version of 3.0.0 RC1, the official gave the compilation of good Python2 can be used directly cv2.pyd, but I want to use in Python3! Can only bite the bullet himself compiled, MinGW compiled to the last step failed, and eventually compiled with Visual Studio 2012 successful, the process is shared as follows:　　(Note ①: This step applies to WIN7 64

In OpenCV, the pictures are read, displayed, saved respectively using Imread (), Imshow (), Imwrite (). The Matplotlib library is a Python 2D drawing library that makes it easy to graph data. 1.cv2.imread (Filename,colortype) FileName: The name of the picture with the full path (the path can be ignored under the same folder as the current item). ColorType: Picture color.Cv2. Imread_unchanged: Returns the image depth unchanged, contains the alpha chann

Import CV2 Import NumPy as NP import Image import CV2.CV as CV def image_joint (image_list,opt): #opt = vertical, horizon Image_num=len (image_list) image_size=image_list[0].size height=image_size[1] width=image_size[0] I F opt== ' vertical ': new_img=image.new (' RGB ', (width,image_num*height), 255) else:new_img=image.new (' RGB ' , (Image_num*width,height), 255) x=y=0 count=0 for IMG in Image_lis

click #cv_event_lbuttonup 4 left button release #Cv_event_rbuttonup 5 Right-click Release #cv_event_mbuttonup 6 middle button Release #cv_event_lbuttondblclk 7 left button double-click #CV_EVENT_RBUTTONDBLCLK 8 Right-click #CV_EVENT_MBUTTONDBLCLK 9 middle button Double click #x, y for mouse click position #Flags: #Cv_event_flag_lbutton 1 left button drag #Cv_event_flag_rbutton 2 Right-click Drag #Cv_event_flag_mbutton 4 middle button Drag #Cv_event_flag_ctrlk

Image Repair Program-can be used for watermark removalIn real life, we may encounter some beautiful or precious pictures are disturbed by noise, such as the folds of old photos, such as dust or stains on the lens, or some of the things we want to use for me but have a nasty watermark, then there is no way to eliminate these noise?The answer is yes, it is still a good framework that we have used countless times opencv.Effect PreviewPrinciple of image RestorationThat OpenCV is how to realize, simp

Installing OPENCV Conda Install OpenCV Using Python Import NumPy as NP import CV2 import Matplotlib.pyplot as plot face_cascade = Cv2. Cascadeclassifier ("C:\\opencv3.2.0\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt2.xml") eye _cascade = Cv2. Cascadeclassifier ("C:\\opencv3.2.0\\opencv\\sources\\data\\haarcascades\\haarcascade_eye_tree_eye

Python Image Processing (2): Image Display, python Image Processing Happy shrimp Http://blog.csdn.net/lights_joy/ (QQ group: Visual EmbedLinux Tools 375515651) Reprinted, but keep the author information 1. OpenCV Image Display Previously, cv2.imshow was used to display images. However, windows that cannot be displayed in this way cannot be resized. When the displayed images are large, they cannot see the complete image, therefore, we first create a

When using OPENCV to read video for processing, the error is as follows: Gray =cv2.cvtcolor (Frame,cv2. Color_bgr2gray) Cv2.error:.. \.. \.. \opencv-3.1.0\modules\imgproc\src\color.cpp:7456:error: ( -215) SCN ==3 | | SCN = 4 in function Cv::ipp_cvtcolor My original processing of the code did not judge whether the video processing completed, so after adding to t

Image Repair Program-can be used for watermark removalIn real life, we may encounter some beautiful or precious pictures are disturbed by noise, such as the folds of old photos, such as dust or stains on the lens, or some of the things we want to use for me but have a nasty watermark, then there is no way to eliminate these noise?The answer is yes, it is still a good framework that we have used countless times opencv.Effect PreviewPrinciple of image RestorationThat OpenCV is how to realize, simp

circleMinradius: Represents the minimum value of a radiusMaxradiux: Represents the maximum value of a radius example of a C + + version: #include python version: Import cv2 import NumPy as np planets = cv2.imread (' planet_glow.jpg ') gray_img = Cv2.cvtcolor (planets, Cv2. Color_bgr2gray) img =