test.py

# import numpy as np
# import cv2
# import matplotlib.pyplot as plt
#
#
# def get_magnitude_and_phase(image):
#     # Compute the Fourier transform of the image
#     f_transform = np.fft.fft2(image)
#
#     # Get the magnitude and phase of the Fourier transform
#     magnitude = np.abs(f_transform)
#     phase = np.angle(f_transform)
#
#     return magnitude, phase
#
#
# def combine_images(images, selected_magnitudes, selected_phases, weights):
#     combined_magnitude = np.zeros_like(images[0], dtype=np.float64)
#     combined_phase = np.zeros_like(images[0], dtype=np.float64)
#
#     # Normalize weights so that they sum to 1
#     weights = np.array(weights)
#
#     for i in range(len(images)):
#         magnitude, phase = get_magnitude_and_phase(images[i])
#
#         if selected_magnitudes[i]:
#             combined_magnitude += weights[i] * magnitude
#         else:
#             combined_magnitude += weights[i] * np.ones_like(magnitude)
#
#         if selected_phases[i]:
#             combined_phase += weights[i] * phase
#         else:
#             combined_phase += weights[i] * np.zeros_like(phase)
#
#     # Combine magnitude and phase
#     combined_f_transform = combined_magnitude * np.exp(1j * combined_phase)
#
#     # Inverse Fourier Transform
#     combined_image = np.fft.ifft2(combined_f_transform).real
#
#     # Convert the result back to uint8
#     combined_image = np.clip(combined_image, 0, 255).astype(np.uint8)
#
#     return combined_image
#
#
# # Load your four images
# image1 = cv2.imread('images.jpeg', cv2.IMREAD_GRAYSCALE)
# image2 = cv2.imread('images (1).jpeg', cv2.IMREAD_GRAYSCALE)
# image3 = cv2.imread('download.jpeg', cv2.IMREAD_GRAYSCALE)
# image4 = cv2.imread('download (1).jpeg', cv2.IMREAD_GRAYSCALE)
#
# target_size = (125, 125)
# image1 = cv2.resize(image1, target_size)
# image2 = cv2.resize(image2, target_size)
# image3 = cv2.resize(image3, target_size)
# image4 = cv2.resize(image4, target_size)
#
# # Choose the weights for each image
# weights = [1, 1.0, 1.0, 1.0]
#
# # Choose whether to use magnitude or phase for each image
# selected_magnitudes = [True, False, False, False]
# selected_phases = [False, True, False, False]
#
# # Combine images
# combined_image = combine_images([image1, image2, image3, image4], selected_magnitudes, selected_phases, weights)
#
# # Display the result
# plt.imshow(combined_image, cmap='gray')
# plt.title('Combined Image')
# plt.show()


import logging
logging.basicConfig(filename="my_app.log",
                    filemode="a",
                    format="(%(asctime)s) | %(name)s | %(levelname)s : '%(message)s' ",
                    datefmt="%d %B %Y, %H:%M")
my_logger = logging.getLogger("image_mixer.py")
my_logger.warning("This is warning message")