输出结果
实现代码
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])
# 展示待预测图片
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")
# 待预测图片
test_img_path = ["./crowd1.jpg"]
img = mpimg.imread(test_img_path[0])
# 展示待预测图片
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)
# 预测结果展示
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()