def test_copyToNpArray(self):
floatVec = hogc.makeTestFloatVec()
npFloatVec = np.zeros((len(floatVec)+2), dtype=np.float32)
hogc.copyToNpArray(floatVec, 2, npFloatVec)
for i in range(0, len(floatVec)):
self.assertTrue(almostEqual(npFloatVec[i+2], floatVec[i]))
pass
pass
def hog(img, hogScheme, aHistTemplate, smAngle, smMag, descriptor):
#print img.width, img.height
imgCopy = cv2.resize(img, (128, 64))
numpyImg = np.asarray(imgCopy)
hogc.gammaCorrect(numpyImg, 2.2, True)
#normalizedImg = normalizeImage(numpyImg)
convertedImg = cv2.cvtColor( numpyImg, cv2.COLOR_BGR2GRAY)
h = convertedImg.shape[0]
w = convertedImg.shape[1]
assert(descriptor.shape[0] == hogScheme.numBlocksVertical * hogScheme.numBlocksHorizontal * hogScheme.numCellsInUnitPerSide * hogScheme.numCellsInUnitPerSide * 9)
assert(descriptor.dtype == np.float32)
hog = hogc.Hog(hogScheme, hogc.Hog.BlockGaussianWeightingPolicy.YesGaussian, hogc.Hog.BlockNormalizationPolicy.L2Normalization)
for r in range(0, hogScheme.numBlocksVertical):
for c in range(0, hogScheme.numBlocksHorizontal):
histVec = hogc.FloatVec()
hog.computeBlock( convertedImg,aHistTemplate, r, c, smAngle, smMag, False, histVec)
hogc.copyToNpArray(histVec, (r*15 +c)*36, descriptor)
return
