#imshow(patch)
progress += 1
print('')
new_img = helpers.norm_zero_one(new_img)
return new_img
def show_signature(img_path, fignum=1):
print('Showing signature: ' + img_path)
img = plt.imread(join(imgdir, img_path))
sig_img = sliding_window_signature(img)
fig = plt.figure(fignum)
ax1 = fig.add_subplot(1, 2, 1)
ax2 = fig.add_subplot(1, 2, 2)
ax1.imshow(img)
ax2.imshow(sig_img)
fig.show()
fig.canvas.draw()
image_list = np.array(os.listdir(imgdir), dtype=object)
img_path = image_list[0]
samplex = np.random.choice(range(len(image_list)), 5)
print samplex
sample = image_list[samplex]
for gx, img_path in enumerate(sample):
show_signature(img_path, fignum=gx)
#set_cmap('gray')
df2.present()
#if progress < 10 and False:
#figure(progress)
#imshow(patch)
progress += 1
print('')
new_img = helpers.norm_zero_one(new_img)
return new_img
def show_signature(img_path, fignum=1):
print('Showing signature: '+img_path)
img = plt.imread(join(imgdir, img_path))
sig_img = sliding_window_signature(img)
fig = plt.figure(fignum)
ax1 = fig.add_subplot(1,2,1)
ax2 = fig.add_subplot(1,2,2)
ax1.imshow(img)
ax2.imshow(sig_img)
fig.show()
fig.canvas.draw()
image_list = np.array(os.listdir(imgdir), dtype=object)
img_path = image_list[0]
samplex = np.random.choice(range(len(image_list)), 5)
print samplex
sample = image_list[samplex]
for gx, img_path in enumerate(sample):
show_signature(img_path, fignum=gx)
#set_cmap('gray')
df2.present()
