OpenCV

问题 I have displayed the code below, but when I try to execute it, get Traceback (most recent call last): File "/home/decentmakeover2/Code/cv.py", line 22, in <module> img = cv2.circle(img,center, radius, (0,255, 0), 2) TypeError: integer argument expected, got float Im not exactly sure what the problem is, in the minEnclosingCircle the values have been converted to int , but i still get the same error, any ideas on what might be the problem? import numpy as np import cv2 import os from scipy

问题 I have displayed the code below, but when I try to execute it, get Traceback (most recent call last): File "/home/decentmakeover2/Code/cv.py", line 22, in <module> img = cv2.circle(img,center, radius, (0,255, 0), 2) TypeError: integer argument expected, got float Im not exactly sure what the problem is, in the minEnclosingCircle the values have been converted to int , but i still get the same error, any ideas on what might be the problem? import numpy as np import cv2 import os from scipy

问题 I'm working on a face detection project and want to know if opencv provides support for heic format in imread() and imwrite() methods? Can an image be read using cv2's imread() and written using cv2.imwrite() functions? (Language being used: Python3.6) 来源： https://stackoverflow.com/questions/60951161/does-opencv-support-heic-image-format

问题 I just would like to know if it's possible to save gray 1 channel images with opencv starting from rgb images. import cv2 bgr_img = cv2.imread('anyrgbimage.jpg') print(bgr_img.shape) #(x,y,3) gray_img = cv2.cvtColor(bgr_img,cv2.COLOR_BGR2GRAY) cv2.imwrite('hopefully_gray_image.jpg',gray_img) #cv2.imwrite('hopefully_gray_image.jpg',gray_img,[int(cv2.COLOR_BGR2GRAY)]) buh_img = cv2.imread('hopefully_gray_image.jpg') print(buh_img.shape) #(x,y,3) i know i can add some parameters inside cv2

问题 I just would like to know if it's possible to save gray 1 channel images with opencv starting from rgb images. import cv2 bgr_img = cv2.imread('anyrgbimage.jpg') print(bgr_img.shape) #(x,y,3) gray_img = cv2.cvtColor(bgr_img,cv2.COLOR_BGR2GRAY) cv2.imwrite('hopefully_gray_image.jpg',gray_img) #cv2.imwrite('hopefully_gray_image.jpg',gray_img,[int(cv2.COLOR_BGR2GRAY)]) buh_img = cv2.imread('hopefully_gray_image.jpg') print(buh_img.shape) #(x,y,3) i know i can add some parameters inside cv2

问题 I just would like to know if it's possible to save gray 1 channel images with opencv starting from rgb images. import cv2 bgr_img = cv2.imread('anyrgbimage.jpg') print(bgr_img.shape) #(x,y,3) gray_img = cv2.cvtColor(bgr_img,cv2.COLOR_BGR2GRAY) cv2.imwrite('hopefully_gray_image.jpg',gray_img) #cv2.imwrite('hopefully_gray_image.jpg',gray_img,[int(cv2.COLOR_BGR2GRAY)]) buh_img = cv2.imread('hopefully_gray_image.jpg') print(buh_img.shape) #(x,y,3) i know i can add some parameters inside cv2

问题 I am trying to follow this tutorial which requires imtools . It looks like I have the package installed, but the Python compiler cannot find it. What's going on here? Tutorial: http://www.pyimagesearch.com/2016/10/03/bubble-sheet-multiple-choice-scanner-and-test-grader-using-omr-python-and-opencv/ ~/py:. cat test_grader.py from imutils.perspective import four_point_transform~ ~/py:. python test_grader.py Traceback (most recent call last): File "test_grader.py", line 1, in <module> from

问题 from scipy.misc import imread from matplotlib import pyplot import cv2 from cv2 import cv from SRM import SRM ## Module for Statistical Regional Segmentation im = imread("lena.png") im2 = cv2.imread("lena.png") print type(im), type(im2), im.shape, im2.shape ## Prints <type 'numpy.ndarray'> <type 'numpy.ndarray'> (120, 120, 3) (120, 120, 3) srm = SRM(im, 256) segmented = srm.run() srm2 = SRM(im2, 256) segmented2 = srm2.run() pic = segmented/256 pic2 = segmented2/256 pyplot.imshow(pic) pyplot

问题 from scipy.misc import imread from matplotlib import pyplot import cv2 from cv2 import cv from SRM import SRM ## Module for Statistical Regional Segmentation im = imread("lena.png") im2 = cv2.imread("lena.png") print type(im), type(im2), im.shape, im2.shape ## Prints <type 'numpy.ndarray'> <type 'numpy.ndarray'> (120, 120, 3) (120, 120, 3) srm = SRM(im, 256) segmented = srm.run() srm2 = SRM(im2, 256) segmented2 = srm2.run() pic = segmented/256 pic2 = segmented2/256 pyplot.imshow(pic) pyplot