def autoencoder_view_origin():
driver = AutoEncoderDriver()
driver.load_data()
driver.size_normalization()
while True:
uid = _input_uid()
sid = _input_sid()
plt.plot(driver.data[uid][sid][0],
driver.data[uid][sid][1])
plt.show()
def autoencoder_view_origin():
driver = AutoEncoderDriver()
driver.load_data()
driver.size_normalization()
while True:
uid = _input_uid()
sid = _input_sid()
plt.plot(driver.data[uid][sid][0], driver.data[uid][sid][1])
plt.show()
def autoencoder_view():
# use the following 4 steps, you can use iamge data
driver = AutoEncoderDriver()
driver.load_data()
driver.size_normalization()
driver.imagize()
while True:
uid = _input_uid()
sid = _input_sid()
image = driver.data[uid][sid]
width, height = image.shape
for i in range(width):
for j in range(height):
if image[i][j] != 0:
print ".",
else:
print " ",
print
print
def autoencoder_view():
# use the following 4 steps, you can use iamge data
driver = AutoEncoderDriver()
driver.load_data()
driver.size_normalization()
driver.imagize()
while True:
uid = _input_uid()
sid = _input_sid()
image = driver.data[uid][sid]
width, height = image.shape
for i in range(width):
for j in range(height):
if image[i][j] != 0:
print ".",
else:
print " ",
print
print
def autoencoder_view_features(loadFromDump=False):
driver = AutoEncoderDriver()
if not loadFromDump:
driver.load_data()
driver.size_normalization()
driver.imagize()
driver.generate_features()
driver.dump_feature()
else:
driver.load_feature()
while True:
uid = _input_uid()
sid = _input_sid()
print driver.features[uid][sid]
def autoencoder_view_features(loadFromDump=False):
driver = AutoEncoderDriver()
if not loadFromDump:
driver.load_data()
driver.size_normalization()
driver.imagize()
driver.generate_features()
driver.dump_feature()
else:
driver.load_feature()
while True:
uid = _input_uid()
sid = _input_sid()
print driver.features[uid][sid]
