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Loading external digit images for pylearn2 convnet example
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| import cv2, numpy as np | |
| import theano | |
| from pylearn2.utils import serial | |
| def load_pl2_recognizer(model_path): | |
| model = serial.load(model_path) | |
| X = model.get_input_space().make_theano_batch() | |
| Y = model.fprop(X) | |
| recognize = theano.function([X], Y) | |
| return recognize | |
| pl2recognizer = load_pl2_recognizer('C:\\model.pkl') | |
| def recognize_digit(digit, probabilities=False): | |
| # Assuming 28x28 uint8 white digit with black background | |
| digit = cv2.normalize(digit, alpha=0.0, beta=1.0, norm_type=cv2.cv.CV_MINMAX, dtype=cv2.cv.CV_64F) | |
| digit = digit.reshape(-1, 28, 28, 1) | |
| ans = pl2recognizer(digit) | |
| if not probabilities: | |
| ans = np.argmax(ans, axis=1) | |
| return ans |
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