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Creates a composite image
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import cv2 | |
import glob | |
import os | |
import random | |
import numpy as np | |
def create_composite_image(_fg_image , _bg_image): | |
""" | |
Creates composite images from a given set of foreground and background images | |
:param _fg_image: path to foreground images folder | |
:param _bg_image: path to background images folder | |
:return: | |
""" | |
flag = 0 | |
for plate in glob.glob(_bg_image): | |
composite_folder_name = os.path.splitext(plate)[0] + "_composite" | |
mask_folder_name = os.path.splitext(plate)[0] + "_mask" | |
if not os.path.exists(composite_folder_name): | |
os.makedirs(composite_folder_name) | |
if not os.path.exists(mask_folder_name): | |
os.makedirs(mask_folder_name) | |
for food in glob.glob(_fg_image): | |
plate_base_image = cv2.imread(plate, cv2.IMREAD_UNCHANGED) | |
plate_base_image = cv2.resize(plate_base_image, (640, 480)) | |
h_1, w_1 = plate_base_image.shape[:2] | |
random_size = random.randint(1, 100) | |
food_image = cv2.imread(food, cv2.IMREAD_UNCHANGED) | |
food_image = cv2.resize(food_image, (200 + random_size, 200 + random_size)) | |
h1, w1 = food_image.shape[:2] | |
b, g, r, a = cv2.split(food_image) | |
x = int((w_1 / 2) - (w1 / 2)) | |
y = int((h_1 / 2) - (h1 / 2)) | |
print(food_image.shape, plate_base_image.shape) | |
cropped_bg_image = plate_base_image[y:y + h1, x:x + w1] | |
inv_a = cv2.bitwise_not(a) | |
image1_out = cv2.bitwise_and(cropped_bg_image, cropped_bg_image, mask=inv_a) | |
image2_out = cv2.bitwise_and(food_image, food_image, mask=a) | |
image_cropped = cv2.bitwise_or(image1_out, image2_out) | |
segmented_mask = get_mask(a) | |
plate_base_image[y:y + h1, x:x + w1] = image_cropped | |
cv2.imwrite(composite_folder_name + "/" + str(flag) + "_" + os.path.basename(food), plate_base_image) | |
cv2.imwrite(mask_folder_name + "/" + str(flag) + "_" + os.path.basename(food), segmented_mask) | |
print(composite_folder_name + "/" + str(flag) + "_" + os.path.basename(food)) | |
flag += 1 | |
def get_mask(_in): | |
bg = np.zeros((480,640)) | |
h_1, w_1 =bg.shape[:2] | |
#b, g, r, a = cv2.split(_in) | |
h1 , w1 = _in.shape[:2] | |
x = int((w_1 / 2) - (w1 / 2)) | |
y = int((h_1 / 2) - (h1 / 2)) | |
bg[y:y + h1, x:x + w1] = _in | |
return bg | |
if __name__ == "__main__": | |
BG_FOLDER_PATH = "/home/anirudh/HBRS/HomeLab/Dataset/dataset_green_segmentation/bg_png/*.png" | |
FG_FOLDERS_PATH = "/home/anirudh/HBRS/HomeLab/Dataset/dataset_green_segmentation/fg/*.png" | |
create_composite_image(FG_FOLDERS_PATH,BG_FOLDER_PATH) | |
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