%load_ext autoreload
%autoreload 2

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

get_bbox[source]

get_bbox(pts_)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

overlay_common_area[source]

overlay_common_area(img1, img2, pts1, pts2)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

Function overlay_common_area warps the common area, based on the (planar) correspondences between two images, of image 1 into image 2 and replaces one of RGB channels with original image 2. The warp is perspective warp, defined be the least-squares fit of the correspondences. If some of them are incorrect - bad luck :) The function is handy to check if the correspondences define a good transformation between images.

%matplotlib inline
import matplotlib.pyplot as plt
import cv2
import numpy as np

img1_fname = 'sample_project/ministry/01.png'
img2_fname = 'sample_project/ministry/02.png'
c_fname = 'sample_project/ministry/corrs.txt'

img1 = cv2.cvtColor(cv2.imread(img1_fname), cv2.COLOR_BGR2RGB)
img2 = cv2.cvtColor(cv2.imread(img2_fname), cv2.COLOR_BGR2RGB)
corrs = np.loadtxt(c_fname)
overlay = overlay_common_area(img1, img2, corrs[:,:2], corrs[:,2:])
plt.imshow(overlay)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

<matplotlib.image.AxesImage at 0x14b50f310>

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

draw_epipolar_lines[source]

draw_epipolar_lines(img1, img2, pts1_, pts2_, Fm, ax)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

clip_corrs[source]

clip_corrs(pts1, pts2)

Crops out pts1 and pts2 to the smallest common length

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

get_model[source]

get_model(pts1_, pts2_, model_type='F', leave_idx=None)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

draw_homography[source]

draw_homography(img1, img2, pts1_, pts2_, H, ax)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

%matplotlib inline
import matplotlib.pyplot as plt
import cv2
import numpy as np

img1_fname = 'sample_project/ministry/01.png'
img2_fname = 'sample_project/ministry/02.png'
c_fname = 'sample_project/ministry/corrs.txt'

img1 = cv2.cvtColor(cv2.imread(img1_fname), cv2.COLOR_BGR2RGB)
img2 = cv2.cvtColor(cv2.imread(img2_fname), cv2.COLOR_BGR2RGB)
corrs = np.loadtxt(c_fname)
F, inliers, err = get_model(corrs[:,:2], corrs[:,2:], 'F')

fig, ax = plt.subplots(1,1)
draw_epipolar_lines(img1, img2, corrs[:,:2], corrs[:,2:], F, ax)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

H, inliers, err = get_model(corrs[:,:2], corrs[:,2:], 'H')
fig, ax = plt.subplots(1,1, figsize=(8,4))
draw_homography(img1, img2, corrs[:,:2], corrs[:,2:], H, ax)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

tilt_image[source]

tilt_image(img, angle_vert_deg, angle_hor_deg)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

rectify_plane[source]

rectify_plane(img, angle_vert_deg, angle_hor_deg)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)

This function helps showing tilted version of the images for more convinient labeling

%matplotlib inline
import matplotlib.pyplot as plt
import cv2
import numpy as np

img1_fname = 'sample_project/ministry/01.png'
img1 = cv2.cvtColor(cv2.imread(img1_fname), cv2.COLOR_BGR2RGB)

img_tilted, H = tilt_image(img1, 30,0)
plt.imshow(img_tilted)

/opt/homebrew/Caskroom/miniforge/base/envs/python39/lib/python3.9/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
  and should_run_async(code)
<ipython-input-88-6830b16fa8e8>:42: DeprecationWarning: an integer is required (got type numpy.float32).  Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
  img_out = cv2.warpPerspective(img, H,  (new_corners[:,0].max(),
<ipython-input-88-6830b16fa8e8>:42: DeprecationWarning: an integer is required (got type numpy.float32).  Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
  img_out = cv2.warpPerspective(img, H,  (new_corners[:,0].max(),

<matplotlib.image.AxesImage at 0x14c4867c0>