# Image¶

## image_processing.py¶

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 # ---------------------------------------------------------------------------- # - Open3D: www.open3d.org - # ---------------------------------------------------------------------------- # The MIT License (MIT) # # Copyright (c) 2018-2021 www.open3d.org # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS # IN THE SOFTWARE. # ---------------------------------------------------------------------------- import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg import open3d as o3d #conda install pillow matplotlib if __name__ == "__main__": print("Testing image in open3d ...") print("Convert an image to numpy") sample_image = o3d.data.JuneauImage() x = o3d.io.read_image(sample_image.path) print(np.asarray(x)) print( "Convet a numpy image to o3d.geometry.Image and show it with DrawGeomtries()." ) y = mpimg.imread(sample_image.path) print(y.shape) yy = o3d.geometry.Image(y) print(yy) o3d.visualization.draw_geometries([yy]) print("Render a channel of the previous image.") z = np.array(y[:, :, 1]) print(z.shape) print(z.strides) zz = o3d.geometry.Image(z) print(zz) o3d.visualization.draw_geometries([zz]) print("Write the previous image to file.") o3d.io.write_image("test.jpg", zz, quality=100) print("Testing basic image processing module.") sample_image = o3d.data.JuneauImage() im_raw = mpimg.imread(sample_image.path) im = o3d.geometry.Image(im_raw) im_g3 = im.filter(o3d.geometry.ImageFilterType.Gaussian3) im_g5 = im.filter(o3d.geometry.ImageFilterType.Gaussian5) im_g7 = im.filter(o3d.geometry.ImageFilterType.Gaussian7) im_gaussian = [im, im_g3, im_g5, im_g7] pyramid_levels = 4 pyramid_with_gaussian_filter = True im_pyramid = im.create_pyramid(pyramid_levels, pyramid_with_gaussian_filter) im_dx = im.filter(o3d.geometry.ImageFilterType.Sobel3dx) im_dx_pyramid = o3d.geometry.Image.filter_pyramid( im_pyramid, o3d.geometry.ImageFilterType.Sobel3dx) im_dy = im.filter(o3d.geometry.ImageFilterType.Sobel3dy) im_dy_pyramid = o3d.geometry.Image.filter_pyramid( im_pyramid, o3d.geometry.ImageFilterType.Sobel3dy) switcher = { 0: im_gaussian, 1: im_pyramid, 2: im_dx_pyramid, 3: im_dy_pyramid, } for i in range(4): for j in range(pyramid_levels): plt.subplot(4, pyramid_levels, i * 4 + j + 1) plt.imshow(switcher.get(i)[j]) plt.show()