GeorgySk

from typing import (Union,
                    Optional,
                    Tuple)

import numpy as np


def projection(latitudes: np.ndarray,
               longitudes: np.ndarray,
               *,

GeorgySk

"""
For installation see:
https://uk.mathworks.com/help/matlab/matlab_external/install-the-matlab-engine-for-python.html

In order to install matlab.engine in non-default location, 
e.g. conda environment, see:
https://uk.mathworks.com/help/matlab/matlab_external/install-matlab-engine-api-for-python-in-nondefault-locations.html
(My advice is to install it to a base environment,
installing to different environments seems to be buggy)
If this doesn't work, try `pip install -e .` from *matlabroot\extern\engines\python*

GeorgySk

from functools import partial
from typing import Tuple

import numpy as np


def select(points: np.ndarray,
           *,
           image_shape: Tuple[int, int],
           count: int,

GeorgySk

import numpy as np


def points_indices(points: np.ndarray,
                   *,
                   count: int) -> np.ndarray:
    """
    Finds a set of points quite far apart from each other.
    First point in the array is always included.
    Based on:

GeorgySk

import operator
from typing import Iterator

import numpy as np
import sympy as sym
from scipy.special import lambertw
from sympy.functions.elementary.piecewise import ExprCondPair


def sample(pdf: sym.Function,

GeorgySk

from operator import itemgetter
from typing import (Any,
                    Dict,
                    Iterable,
                    Iterator,
                    List,
                    Sequence)


def max_length(objects: Iterable[Any]) -> int:

GeorgySk

import operator
from itertools import (accumulate,
                       repeat)
from pathlib import Path
from typing import (Iterator,
                    List,
                    Tuple)


FILEPATH = Path('days_of_week.txt')

GeorgySk

This question was originally posted on Stack Overflow by the following link: https://stackoverflow.com/questions/50585255/how-to-prevent-rectified-images-to-be-cropped-in-opencv
Unfortunately, most probably due to my high activity in content moderation, it got several "revenge downvotes" and it was automatically deleted by the system. This question got around 500 views in 1 year, so I assume other people also encounter this issue, hence I decided to save a copy here.
While there is still no answer to the problem of cropping, I think my attempt to solve it which is presented in an edit to the question will be helpful for future readers.

Let's take the following pair of consequent aerial images and do the image rectification (code below):

query.jpg [![query][1]][1]

GeorgySk

from functools import partial

from _ctypes import ArgumentError
from hypothesis.strategies import (floats,
                                   tuples,
                                   lists)
from lz.iterating import pairwise
from shapely.geometry import (LineString,
                              Point,
                              Polygon)

GeorgySk

"""Example of code for Matplotlib animation in Jupyter Lab"""
%matplotlib qt5

from itertools import count
from functools import partial

import matplotlib.pyplot as plt
import numpy as np
from matplotlib import animation