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yolov8.py 1.3 kB

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  1. # Tencent is pleased to support the open source community by making ncnn available.
  2. #
  3. # Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
  4. #
  5. # Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  6. # in compliance with the License. You may obtain a copy of the License at
  7. #
  8. # https://opensource.org/licenses/BSD-3-Clause
  9. #
  10. # Unless required by applicable law or agreed to in writing, software distributed
  11. # under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  12. # CONDITIONS OF ANY KIND, either express or implied. See the License for the
  13. # specific language governing permissions and limitations under the License.
  14. import sys
  15. import cv2
  16. from ncnn.model_zoo import get_model
  17. from ncnn.utils import draw_detection_objects
  18. if __name__ == "__main__":
  19. if len(sys.argv) != 2:
  20. print("Usage: %s [imagepath]\n" % (sys.argv[0]))
  21. sys.exit(0)
  22. imagepath = sys.argv[1]
  23. m = cv2.imread(imagepath)
  24. if m is None:
  25. print("cv2.imread %s failed\n" % (imagepath))
  26. sys.exit(0)
  27. net = get_model(
  28. "yolov8s",
  29. target_size=640,
  30. prob_threshold=0.25,
  31. nms_threshold=0.45,
  32. num_threads=4,
  33. use_gpu=True,
  34. )
  35. objects = net(m)
  36. draw_detection_objects(m, net.class_names, objects)