Comments (4)
oddmanru
commented on July 22, 2024
显卡占用高低与性能之间没有必然联系。文章中这段程序，DeepSort所起到的作用很有限，不是占用资源的主要地方。
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TryHard-LL
commented on July 22, 2024
可能是这其中的某个变量一直在累积，致使随着迭代，不断增加~
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oddmanru
commented on July 22, 2024
可能是这其中的某个变量一直在累积，致使随着迭代，不断增加~
他遇到的情况是显存占用高，而不是内存占用高。变量的积累影响的是内存而不会是现存。在我看来，Deep learning 导致显存溢出先要检查batch size 设置是否正确。不过DeepSORT在本文中的作用非常有限。
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TryHard-LL
commented on July 22, 2024
不一定，因为你有的变量是放在gpu上的，在训练过程中，一直会在这上面进行累积
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Related Issues (20)
- 模型
- 能支持多路视频流么 HOT 1
- 如果写一个循环对多个视频进行跟踪处理的话，预测下一个视频的时候还会保持上一个视频中的id的顺序进行累加，这部分要如何重置。希望预测新的视频的时候id从1开始计算
- 作者能列个运行环境版本清单吗？
- IndexError: too many indices for tensor of dimension 1 HOT 2
- 如何修改默认的n卡跑该模型? HOT 1
- 沒有任何結果 HOT 2
- 我感觉这个程序的性能可能存在一定的局限性
- 关于AIDetector_pytorch.py
- 如何训练deepsort自己的数据集？我已经训练了yolov5的自己的数据集。 HOT 3
- 如何使用GPU运行这个项目？
- 运行报错 好像是维数对不上哪位大佬能看看吗
- 能够正常运行，但是第一帧的时候总是不能出现检测框
- 怎么输出跟踪结果的txt文件呢 HOT 1
- fork了一个包含环境创建的repo，希望能帮到大家 HOT 11
- 使用自己的模型报错的看这里！！！
- yolo.py中报错
- TypeError: load() missing 1 required positional argument: 'Loader' HOT 4
- the size of tensor a(48) must match the size of tensor b(84) at non-singleton dimension 3 HOT 1
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