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11 Μαρ 2015 · Best way to extract image pixel (r,g,b) value is by using numpy.ndindex (): Which will take h,w or h,w,c (height, width, channel) of an image to traverse. For example, code snippet is below and np.ndindex is only using height and width: import cv2. import numpy as np.
By using this function you can easily crop image. def cropImage(Image, XY: tuple, WH: tuple, returnGrayscale=False): # Extract the x,y and w,h values. (x, y) = XY. (w, h) = WH. # Crop Image with numpy splitting. crop = Image[y:y + h, x:x + w] # Check if returnGrayscale Var is true if is then convert image to grayscale.
2 Απρ 2017 · # Python 2.7 and 32-bit machine: C:\opencv\build\python\2.7\x84 # Python 2.7 and 64-bit machine: C:\opencv\build\python\2.7\x64 To this Anaconda directory (the beginning part might be slightly different on your machine): C:\Users\Johnny\Anaconda\Lib\site-packages After performing this step we shall now be able to use import cv2 in Python code.
26 Μαρ 2014 · I am trying to do a perspective correction of a tilted rectangle ( a credit card), which is tilted in all the 4 directions. I could find its four corners and the respective angles of its tilt but I
8 Απρ 2010 · I have been trying to create a simple program with Python which uses OpenCV to get a video feed from my webcam and display it on the screen. I know I am partly there because the window is created and the light on my webcam flicks on, but it just doesn't seem to show anything in the window. Hopefully someone can explain what I'm doing wrong.
There are two methods to draw the contour onto an image depending on what you need: Contour outline. If you only need the contour outline, use cv2.drawContours() cv2.drawContours(image,[points],0,(0,0,0),2) Filled contour. To get a filled contour, you can either use cv2.fillPoly() or cv2.drawContours() with thickness=-1.
17 Ιουν 2019 · 12. You can really easily view how the change of parameters affect the drawing of the ellipse. Here is a simple code for it: import numpy as np. import cv2. center = (200, 200) # x,y. axes = (100, 75) # first, second. angle = 0. # clockwise, first axis, starts horizontal. for i in range(360):
9 Μαρ 2016 · import cv2, os import numpy as np import matplotlib.pyplot as plt # INITIALISATION filename = os.path.join('foo', 'bar.jpg') img0 = cv2.imread(filename) # original image gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT f, (ax1, ax2) = plt.subplots(1, 2) # create subplots # DETECT AND DRAW KEYPOINTS # sift.detect ...
18 Αυγ 2011 · I want to apply a Discrete Cosine Transform (as well as the inverse) to an image in Python and I'm wondering what is the best way to do it and how. I've looked at PIL and OpenCV but I still don't understand how to use it.
23 Οκτ 2012 · Here is a method that returns the image dimensions: from PIL import Image import os def get_image_dimensions(imagefile): """ Helper function that returns the image dimentions :param: imagefile str (path to image) :return dict (of the form: {width:<int>, height=<int>, size_bytes=<size_bytes>) """ # Inline import for PIL because it is not a common library with Image.open(imagefile) as img ...
