def display_prediction(number=0):
pl.figure()
if (number<3):
for i in range(200):
pl.subplot(20, 20, 2*i + 1)
display = test_data[i+(number*200)].reshape(8,8)
pl.imshow(display)
pl.axis('off')
pl.gray()
pl.subplot(20, 20, 2*i + 2)
display = characters.signatures_to_letter(prediction_bars[i+(number*200)], (150,100), .1)
pl.imshow(display, interpolation="nearest")
pl.axis('off')
pl.gray()
elif (number==3):
for i in range(197):
pl.subplot(20, 20, 2*i + 1)
display = test_data[i+600].reshape(8,8)
pl.imshow(display)
pl.axis('off')
pl.gray()
pl.subplot(20, 20, 2*i + 2)
display = characters.signatures_to_letter(prediction_bars[i+600], (150,100), .1)
pl.imshow(display, interpolation="nearest")
pl.axis('off')
pl.gray()
pl.show()
def display_prediction(number=0):
pl.figure()
if (number < 3):
for i in range(200):
pl.subplot(20, 20, 2 * i + 1)
display = test_data[i + (number * 200)].reshape(8, 8)
pl.imshow(display)
pl.axis('off')
pl.gray()
pl.subplot(20, 20, 2 * i + 2)
display = characters.signatures_to_letter(
prediction_bars[i + (number * 200)], (150, 100), .1)
pl.imshow(display, interpolation="nearest")
pl.axis('off')
pl.gray()
elif (number == 3):
for i in range(197):
pl.subplot(20, 20, 2 * i + 1)
display = test_data[i + 600].reshape(8, 8)
pl.imshow(display)
pl.axis('off')
pl.gray()
pl.subplot(20, 20, 2 * i + 2)
display = characters.signatures_to_letter(prediction_bars[i + 600],
(150, 100), .1)
pl.imshow(display, interpolation="nearest")
pl.axis('off')
pl.gray()
pl.show()
def get_bars(img_size=(50, 50), thickness=.05,
ignore_diagonals=True, whole_word=True):
bars = np.array([signatures_to_letter(e_i, img_size, thickness)
for e_i in np.eye(16)])
if ignore_diagonals:
bars = bars[:-4]
if whole_word:
bars = np.concatenate([bars] * 4)
return bars
