데이터셋 출처 : https://www.kaggle.com/datasets/volkandl/car-brand-logos
import cv2
import matplotlib.pyplot as plt
from google.colab import drive
drive.mount('/content/drive')
# hyundai
hyundai_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/hyundai/10836079247410.jpg")
hyundai_logo = cv2.cvtColor(hyundai_logo, cv2.COLOR_BGR2RGB)
# lexus
lexus_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/lexus/images103.jpg")
lexus_logo = cv2.cvtColor(lexus_logo, cv2.COLOR_BGR2RGB)
# mazda
mazda_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/mazda/0002.jpg")
mazda_logo = cv2.cvtColor(mazda_logo, cv2.COLOR_BGR2RGB)
# mercedes
mercedes_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/mercedes/images12.jpg")
mercedes_logo = cv2.cvtColor(mercedes_logo, cv2.COLOR_BGR2RGB)
# opel
opel_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/opel/00000aaa1.jpg")
opel_logo= cv2.cvtColor(opel_logo, cv2.COLOR_BGR2RGB)
# skoda
skoda_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/skoda/images156.jpg")
skoda_logo= cv2.cvtColor(skoda_logo, cv2.COLOR_BGR2RGB)
# toyota
toyota_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/toyota/images153.jpg")
toyota_logo= cv2.cvtColor(toyota_logo, cv2.COLOR_BGR2RGB)
# volkswagen
volkswagen_logo = cv2.imread("/content/drive/MyDrive/딥러닝_프로젝트/Car_Brand_Logos/Train/volkswagen/images137.jpg")
volkswagen_logo = cv2.cvtColor(volkswagen_logo, cv2.COLOR_BGR2RGB)
titles = ["hyundai","lexus","mazda","mercedes","opel","skoda","toyota","volkswagen"]
images = [hyundai_logo,lexus_logo, mazda_logo, mercedes_logo, opel_logo, skoda_logo, toyota_logo, volkswagen_logo ]
figure(figsize=(18,16), dpi=70)
for i in range(8):
plt.subplot(4,2,i+1),plt.imshow(images[i])
plt.title(titles[i])
plt.xticks([]),plt.yticks([])
plt.show()
코드가 깔끔하게 잘 정리되어 있어서 보기 좋네요. 자동차 로고를 다양하게 모아서 시각화한 것도 흥미로웠습니다. 잘 읽었습니다!