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parameter_comparison.py
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parameter_comparison.py
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import cv2
import numpy as np
from matplotlib import pyplot as plt
from ex1_utils import show_flow
from horn_schunck import horn_schunck
from lucas_kanade import lucas_kanade
def lk_parameter_comparison(img1, img2):
U1, V1 = lucas_kanade(img1, img2, 10)
U2, V2 = lucas_kanade(img1, img2, 50)
U3, V3 = lucas_kanade(img1, img2, 100)
fig1, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(8, 3))
ax1.title.set_text('Kernel size: 10x10')
ax2.title.set_text('Kernel size: 50x50')
ax3.title.set_text('Kernel size: 100x100')
show_flow(U1, V1, ax1, type="field", set_aspect=True)
show_flow(U2, V2, ax2, type="field", set_aspect=True)
show_flow(U3, V3, ax3, type="field", set_aspect=True)
plt.tight_layout()
fig1.savefig(f'./plots/lk_parameter_comparison.png', bbox_inches='tight')
plt.show()
def hs_parameter_comparison(img1, img2):
img1 = img1 / 255.0
img2 = img2 / 255.0
U1, V1 = horn_schunck(img1, img2, 50, 0.5)
U2, V2 = horn_schunck(img1, img2, 150, 0.5)
U3, V3 = horn_schunck(img1, img2, 1000, 0.5)
U4, V4 = horn_schunck(img1, img2, 300, 0.1)
U5, V5 = horn_schunck(img1, img2, 300, 1)
U6, V6 = horn_schunck(img1, img2, 300, 3)
fig1, ((ax1, ax2, ax3), (ax4, ax5, ax6)) = plt.subplots(2, 3, figsize=(12, 7))
ax1.title.set_text('100 iterations, lambda: 0.5')
ax2.title.set_text('500 iterations, lambda: 0.5')
ax3.title.set_text('1000 iterations, lambda: 0.5')
ax4.title.set_text('iterations: 300, lambda: 0.1')
ax5.title.set_text('iterations: 300, lambda: 1')
ax6.title.set_text('iterations: 300, lambda: 5')
show_flow(U1, V1, ax1, type="field", set_aspect=True)
show_flow(U2, V2, ax2, type="field", set_aspect=True)
show_flow(U3, V3, ax3, type="field", set_aspect=True)
show_flow(U4, V4, ax4, type="field", set_aspect=True)
show_flow(U5, V5, ax5, type="field", set_aspect=True)
show_flow(U6, V6, ax6, type="field", set_aspect=True)
plt.tight_layout()
fig1.savefig(f'./plots/hs_parameter_comparison.png', bbox_inches='tight')
plt.show()
if __name__ == '__main__':
waffle1 = cv2.imread('waffle/waffle1.jpg', cv2.IMREAD_GRAYSCALE).astype(np.float32)
waffle2 = cv2.imread('waffle/waffle2.jpg', cv2.IMREAD_GRAYSCALE).astype(np.float32)
# lk_parameter_comparison(waffle1, waffle2)
hs_parameter_comparison(waffle1, waffle2)