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https://github.com/Tencent/ncnn.git
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41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
# Copyright 2020 Tencent
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# SPDX-License-Identifier: BSD-3-Clause
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import sys
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import cv2
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from ncnn.model_zoo import get_model
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from ncnn.utils import draw_detection_objects
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if __name__ == "__main__":
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if len(sys.argv) != 2:
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print("Usage: %s [v4l input device or image]\n" % (sys.argv[0]))
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sys.exit(0)
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devicepath = sys.argv[1]
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net = get_model("yolov4_tiny", num_threads=4, use_gpu=True)
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# net = get_model("yolov4", num_threads=4, use_gpu=True)
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if devicepath.find("/dev/video") == -1:
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m = cv2.imread(devicepath)
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if m is None:
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print("cv2.imread %s failed\n" % (devicepath))
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sys.exit(0)
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objects = net(m)
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draw_detection_objects(m, net.class_names, objects)
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else:
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cap = cv2.VideoCapture(devicepath)
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if cap.isOpened() == False:
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print("Failed to open %s" % (devicepath))
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sys.exit(0)
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while True:
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ret, frame = cap.read()
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objects = net(frame)
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draw_detection_objects(frame, net.class_names, objects)
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