plate_plot.py

# Viualize all obtained plate images 
fig = plt.figure(figsize=(12,6))
cols = 5
rows = 4
fig_list = []

for i in range(cols*rows):
    fig_list.append(fig.add_subplot(rows,cols,i+1))
    title = splitext(basename(image_paths[i]))[0]
    fig_list[-1].set_title(title)
    LpImg,_ = get_plate(image_paths[i])
    plt.axis(False)
    plt.imshow(LpImg[0])

plt.tight_layout(True)
plt.show()