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  1. import os
  2. import time
  3. from PIL import Image
  4. import numpy as np
  5. from models_725.segWaterBuilding import SegModel
  6. from predict_guolv import predict_lunkuo
  7. impth = '/home/data/lijiwen/wurenjiqifei/images/'
  8. folders = os.listdir(impth)
  9. segmodel = SegModel()
  10. for i in range(len(folders)):
  11. imgpath = os.path.join(impth, folders[i])
  12. # name = imgpath.split('/')[-1].split('.')[0]
  13. time00 = time.time()
  14. img = Image.open(imgpath).convert('RGB')
  15. img = np.array(img)
  16. time11 = time.time()
  17. img_out = predict_lunkuo(impth=img, segmodel=segmodel, filter=False)
  18. print('----all_process', (time.time() - time11) * 1000)