I am trying to localize number plate in an image. I am using HoG to extract the features and Linear SVM for the training purposes.
I am using the sklearn library for the above purpose, however I can not find any function to detect or localize the number plate.
Is there anyway I can do it ?
Below is the code for prediction, etc:
import cv2
from sklearn.externals import joblib
from skimage.feature import hog
import numpy as np
clf = joblib.load('trained.pkl')
img = cv2.imread('/home/taseer/Python/Image_Processing/Project/test/2.jpg',0)
features = hog(img,orientations=9, pixels_per_cell=(14, 14), cells_per_block=(1, 1), visualise=False)
pred = clf.predict(np.array(features))
print pred
cv2.imshow("img", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
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