|
12345678910111213141516171819202122232425262728293031323334353637383940414243 |
- # Tencent is pleased to support the open source community by making ncnn available.
- #
- # Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
- #
- # Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- # in compliance with the License. You may obtain a copy of the License at
- #
- # https://opensource.org/licenses/BSD-3-Clause
- #
- # Unless required by applicable law or agreed to in writing, software distributed
- # under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
- # CONDITIONS OF ANY KIND, either express or implied. See the License for the
- # specific language governing permissions and limitations under the License.
-
- import sys
- import cv2
- from ncnn.model_zoo import get_model
- from ncnn.utils import draw_detection_objects
-
- if __name__ == "__main__":
- if len(sys.argv) != 2:
- print("Usage: %s [imagepath]\n" % (sys.argv[0]))
- sys.exit(0)
-
- imagepath = sys.argv[1]
-
- m = cv2.imread(imagepath)
- if m is None:
- print("cv2.imread %s failed\n" % (imagepath))
- sys.exit(0)
-
- net = get_model(
- "yolov8s",
- target_size=640,
- prob_threshold=0.25,
- nms_threshold=0.45,
- num_threads=4,
- use_gpu=True,
- )
-
- objects = net(m)
-
- draw_detection_objects(m, net.class_names, objects)
|