Created
November 23, 2020 12:15
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Part 1: load and draw the original images for stereo rectification
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import numpy as np | |
import cv2 as cv | |
import matplotlib.pyplot as plt | |
# Read both images and convert to grayscale | |
img1 = cv.imread('left_img.png', cv.IMREAD_GRAYSCALE) | |
img2 = cv.imread('right_img.png', cv.IMREAD_GRAYSCALE) | |
# ------------------------------------------------------------ | |
# PREPROCESSING | |
# Compare unprocessed images | |
fig, axes = plt.subplots(1, 2, figsize=(15, 10)) | |
axes[0].imshow(img1, cmap="gray") | |
axes[1].imshow(img2, cmap="gray") | |
axes[0].axhline(250) | |
axes[1].axhline(250) | |
axes[0].axhline(450) | |
axes[1].axhline(450) | |
plt.suptitle("Original images") | |
plt.show() |
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