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Tongfengyu avatar Tongfengyu commented on May 22, 2024 1

把配置文件里的nms_top_k 30000改为1000 验证就不卡了

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Tongfengyu avatar Tongfengyu commented on May 22, 2024

单独验证也会卡住

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nemonameless avatar nemonameless commented on May 22, 2024

请按模板提问谢谢,环境版本是多少?几个显卡总bs是多少,只训1 epoch没必要eval,等10epoch再看
https://github.com/PaddlePaddle/PaddleYOLO/issues/new?assignees=&labels=type%2Fbug-report%2Cstatus%2Fnew-issue&template=1_bug-report.yml

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Tongfengyu avatar Tongfengyu commented on May 22, 2024

-OS: Linux
-PaddlePaddle: paddlepaddle-gpu 2.3.1
-PaddleYOLO: release/2.4 和2.5
-Python: 3.7.13
-CUDA: 11.2
-CUDNN: 8.1
-GCC: 7.5.0

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Tongfengyu avatar Tongfengyu commented on May 22, 2024

单卡。训练bs:32,验证bs:8

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Tongfengyu avatar Tongfengyu commented on May 22, 2024

image
为什么验证过程会那么慢

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nemonameless avatar nemonameless commented on May 22, 2024

总bs=32还可以不算太小。现在是多少epoch一次eval呢?确定加载了coco权重做预训练吗?
大概率是训练早期低质量框太多基本耗在nms。nms参数可以自己调,score_threshold设置高点速度会极快,对mAP影响也不算太大。

  nms:
    name: MultiClassNMS
    nms_top_k: 1000
    keep_top_k: 100
    score_threshold: 0.1
    nms_threshold: 0.65

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