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Images horizontal and 2d concat
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import numpy as np | |
import cv2 | |
def img_horizontal_concat(img1, img2, img_size=(240, 480)): | |
img1_resized = cv2.resize(img1, img_size) | |
img2_resized = cv2.resize(img2, img_size) | |
return np.concatenate((img1_resized, img2_resized), axis=1) | |
def img_2d_concat(images, input_shape): | |
i = 1 | |
combined_h = None | |
combined_w = None | |
num_images = len(images) | |
while True: | |
if num_images <= i*(i-1): | |
combined_h = i-1 | |
combined_w = i | |
break | |
if num_images <= i*i: | |
combined_h = i | |
combined_w = i | |
break | |
i += 1 | |
images_draw = list() | |
for i in range(combined_h): | |
images_draw.append([np.zeros((*input_shape, 3), dtype=np.uint8)] * combined_w) | |
for i, image in enumerate(images): | |
h, w = i//combined_w, i%combined_w | |
images_draw[h][w] = image | |
combined_image = cv2.vconcat([cv2.hconcat(images_row) for images_row in images_draw]) | |
return combined_image |
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