def sliding_window(image, stepSize, windowSize):
for y in range(0, image.shape[0], stepSize):
for x in range(0, image.shape[1], stepSize):
yield (x, y, image[y:y + windowSize[1], x:x + windowSize[0]])
def extractFeatures(window):
# fast? sift? orb? or something?
return features
images = []
for image in images:
features = []
windows = sliding_window(image, 30, (30, 30))
for window in windows:
featureVector = extractFeatures(window)
features.append(featureVector)
numpy.savetxt('image_name_features.txt', feautres, delimiter=",")