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这是我的命令行:python train.py --gpu_ids 1 --name ft_ResNet50 --train_all --batchsize 32 --data_dir /home/user/qh/Person_reID_baseline_pytorch-master/Market/pytorch 训练200轮,之后进行测试python test.py --gpu_ids 0 --name ft_ResNet --test_dir /home/user/qh/Person_reID_baseline_pytorch-master/Market/pytorch --batchsize 32 --which_epoch 200,得出的结果Rank01:0.086995 Ranka5:0.100950 Rank010:0.104513 mAP:0.071516,这个结果精度不太行,我这是问题出现在哪里
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@qianhe-666 你好, 你两次 name 不一样。 训练的是 ft_ResNet50, 测试的是 ft_ResNet
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这是我的命令行:python train.py --gpu_ids 1 --name ft_ResNet50 --train_all --batchsize 32 --data_dir /home/user/qh/Person_reID_baseline_pytorch-master/Market/pytorch 训练200轮,之后进行测试python test.py --gpu_ids 0 --name ft_ResNet --test_dir /home/user/qh/Person_reID_baseline_pytorch-master/Market/pytorch --batchsize 32 --which_epoch 200,得出的结果Rank01:0.086995 Ranka5:0.100950 Rank010:0.104513 mAP:0.071516,这个结果精度不太行,我这是问题出现在哪里
The text was updated successfully, but these errors were encountered: