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_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]