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python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

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This commit is contained in:
Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
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24
samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py
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@@ -1,28 +1,28 @@
import cv2
import cv2 as cv
import numpy as np
SZ=20
bin_n = 16 # Number of bins
affine_flags = cv2.WARP_INVERSE_MAP|cv2.INTER_LINEAR
affine_flags = cv.WARP_INVERSE_MAP|cv.INTER_LINEAR
## [deskew]
def deskew(img):
m = cv2.moments(img)
m = cv.moments(img)
if abs(m['mu02']) < 1e-2:
return img.copy()
skew = m['mu11']/m['mu02']
M = np.float32([[1, skew, -0.5*SZ*skew], [0, 1, 0]])
img = cv2.warpAffine(img,M,(SZ, SZ),flags=affine_flags)
img = cv.warpAffine(img,M,(SZ, SZ),flags=affine_flags)
return img
## [deskew]
## [hog]
def hog(img):
gx = cv2.Sobel(img, cv2.CV_32F, 1, 0)
gy = cv2.Sobel(img, cv2.CV_32F, 0, 1)
mag, ang = cv2.cartToPolar(gx, gy)
gx = cv.Sobel(img, cv.CV_32F, 1, 0)
gy = cv.Sobel(img, cv.CV_32F, 0, 1)
mag, ang = cv.cartToPolar(gx, gy)
bins = np.int32(bin_n*ang/(2*np.pi)) # quantizing binvalues in (0...16)
bin_cells = bins[:10,:10], bins[10:,:10], bins[:10,10:], bins[10:,10:]
mag_cells = mag[:10,:10], mag[10:,:10], mag[:10,10:], mag[10:,10:]
@@ -31,7 +31,7 @@ def hog(img):
return hist
## [hog]
img = cv2.imread('digits.png',0)
img = cv.imread('digits.png',0)
if img is None:
raise Exception("we need the digits.png image from samples/data here !")
@@ -49,13 +49,13 @@ hogdata = [map(hog,row) for row in deskewed]
trainData = np.float32(hogdata).reshape(-1,64)
responses = np.repeat(np.arange(10),250)[:,np.newaxis]
svm = cv2.ml.SVM_create()
svm.setKernel(cv2.ml.SVM_LINEAR)
svm.setType(cv2.ml.SVM_C_SVC)
svm = cv.ml.SVM_create()
svm.setKernel(cv.ml.SVM_LINEAR)
svm.setType(cv.ml.SVM_C_SVC)
svm.setC(2.67)
svm.setGamma(5.383)
svm.train(trainData, cv2.ml.ROW_SAMPLE, responses)
svm.train(trainData, cv.ml.ROW_SAMPLE, responses)
svm.save('svm_data.dat')
###### Now testing ########################