torchvision nms
【摘要】 要求格式[x1,y1,x2,y2]
if __name__ == '__main__': import torch a=torch.Tensor([[1,1,2,2],[1,1,3.100001,3],[1,1,3.1,3]]) b=torch.Tensor([[0.9],[0.98],[0.980005]]) from torchvision.ops import n...
要求格式[x1,y1,x2,y2]
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if __name__ == '__main__':
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import torch
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a=torch.Tensor([[1,1,2,2],[1,1,3.100001,3],[1,1,3.1,3]])
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b=torch.Tensor([[0.9],[0.98],[0.980005]])
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from torchvision.ops import nms
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ccc=nms(a,b,0.4)
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print(ccc)
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print(a[ccc])
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from __future__ import print_function
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import os
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import argparse
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import torch
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import torch.backends.cudnn as cudnn
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import numpy as np
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from torchvision.ops import nms
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from data import cfg_mnet, cfg_re50, cfg_peleenet
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from layers.functions.prior_box import PriorBox
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from utils.nms.py_cpu_nms import py_cpu_nms
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import cv2
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from models.retinaface import RetinaFace
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from utils.box_utils import decode, decode_landm
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import time
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parser = argparse.ArgumentParser(description='Retinaface')
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# parser.add_argument('-m', '--trained_model', default='weights/mobilenet0.25_Final.p
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/106891637
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