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| import os | |
| import matplotlib.pyplot as plt | |
| from matplotlib import cm | |
| from matplotlib.ticker import LinearLocator, FormatStrFormatter | |
| import numpy as np | |
| def getImagesFrom(folder_addr, extension='.png'): | |
| """ | |
| Returns a list of images from a path, with the desired extension. | |
| Parameters | |
| ---------- | |
| folder_addr : str | |
| Path to a target directory | |
| extension : str | |
| Extension of target image files, such as '.png', '.jpg', etc. | |
| Returns | |
| ------- | |
| list | |
| The list of addresses of the images | |
| """ | |
| files = sorted(os.listdir(folder_addr)) | |
| if not folder_addr[-1]==os.sep: folder_addr += os.sep | |
| list_probeFiles = [i for i in files if i.endswith(extension)] | |
| for i in range(list_probeFiles.__len__()): | |
| list_probeFiles[i] = folder_addr + list_probeFiles[i] | |
| return list_probeFiles | |
| ''' | |
| The following lines of code are mainly from: | |
| [https://matplotlib.org/examples/mplot3d/surface3d_demo.html] | |
| ''' | |
| def mesh(Z): | |
| """ | |
| Similar to MATLAB 'mesh' function, can show peak of cross-correlation plane. | |
| Parameters | |
| ---------- | |
| Z : numpy.ndarray('float32') | |
| 2D matrix of cross-correlation | |
| Returns | |
| ------- | |
| <nothing> | |
| """ | |
| Z = np.squeeze(Z) | |
| fig = plt.figure() | |
| ax = fig.gca(projection='3d') | |
| M, N = Z.shape | |
| X = np.arange(0, N, 1) | |
| Y = np.arange(0, M, 1) | |
| X, Y = np.meshgrid(X, Y) | |
| # Plot the surface. | |
| surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm, | |
| linewidth=0, antialiased=False) | |
| # Customize the z axis. | |
| ax.set_zlim(Z.min()*.99, Z.max()*1.01) | |
| ax.zaxis.set_major_locator(LinearLocator(10)) | |
| ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f')) | |
| # Add a color bar which maps values to colors. | |
| fig.colorbar(surf, shrink=0.5, aspect=5) | |
| plt.show() | |