#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()