CV：基于人工智能算法實(shí)現(xiàn)人臉口罩的實(shí)時(shí)檢測(cè)(結(jié)合無(wú)人機(jī)可，實(shí)現(xiàn)實(shí)時(shí)警告提醒)

輸出結(jié)果

實(shí)現(xiàn)代碼

參考文章：CV：基于人工智能算法實(shí)現(xiàn)人臉口罩的實(shí)時(shí)檢測(cè)(結(jié)合無(wú)人機(jī)可，實(shí)現(xiàn)實(shí)時(shí)警告提醒)——代碼

更新中……

import matplotlib.pyplot as plt 
import matplotlib.image as mpimg 

image_str='test1011'   # test010  test101
test_img_path = ["./%s.jpg"%(image_str)]
img = mpimg.imread(test_img_path[0]) 

# 展示待預(yù)測(cè)圖片
plt.imshow(img) 
plt.axis('off') 
plt.show()



import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import paddlehub as hub
module = hub.Module(name="ultra_light_fast_generic_face_detector_1mb_640")

# 待預(yù)測(cè)圖片
test_img_path = ["./crowd1.jpg"]
img = mpimg.imread(test_img_path[0])

# 展示待預(yù)測(cè)圖片
plt.imshow(img)
plt.axis('off')
plt.title('Face mask detection based on artificial intelligence algorithm by Jason Niu')
plt.show()


input_dict = {"image": test_img_path}
# execute predict and print the result
results = module.face_detection(data=input_dict)

for result in results:
    print(result)

# 預(yù)測(cè)結(jié)果展示
img = mpimg.imread("./face_detector_640_predict_output/crowd1.jpg")
plt.imshow(img)
plt.axis('off')
plt.title('Face mask detection based on artificial intelligence algorithm by Jason Niu')
plt.show()