报错信息：OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized 

(py38) D:\Pycharm\Yolov5_DeepSort_Pytorch>python track.py
Namespace(agnostic_nms=False, augment=False, classes=[0], conf_thres=0.4, config_deepsort='deep_sort/configs/deep_sort.yaml', device='', fourcc='mp4v', img_size=64
0, iou_thres=0.5, output='inference/output', save_txt=False, source='0', view_img=False, weights='yolov5/weights/yolov5x.pt')
D:\Pycharm\Yolov5_DeepSort_Pytorch\deep_sort\utils\parser.py:23: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is un
safe. Please read https://msg.pyyaml.org/load for full details.
  self.update(yaml.load(fo.read()))
1/1: 0...  success (640x480 at 30.00 FPS).

0: 512x640 1 persons, Done. (0.966s)
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause inc
orrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runti
me in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to contin
ue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

解决办法：

import os
 os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"