Comments (8)
yeyupiaoling
commented on August 26, 2024
你的想法也是可以的，或者可以把不属于这10类的音频全部当作一类进行训练
得分可以这样拿
score = result[lab]from audioclassification-paddlepaddle.
SSTato
commented on August 26, 2024
你的想法也是可以的，或者可以把不属于这10类的音频全部当作一类进行训练
得分可以这样拿
score = result[lab]
是否应该是score = result[0][lab]
另外infer运行较慢有什么可以加速的方法吗，不知道该代码在infer时是否使用了gpu呢
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yeyupiaoling
commented on August 26, 2024
是的
看你的环境是安装哪个版本的Paddle，
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SSTato
commented on August 26, 2024
是的
看你的环境是安装哪个版本的Paddle，
我使用的是你提供的pytorch版本的代码
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SSTato
commented on August 26, 2024
是的
看你的环境是安装哪个版本的Paddle，我使用的是你提供的pytorch版本的代码
torch 1.7.1+cu110 NVIDIA GeForce RTX 3060
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yeyupiaoling
commented on August 26, 2024
Pytorch 的，你在这里提问？
默认是使用GPU的，CPU很慢的。
你的推理速度是多少？
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v-yunbin
commented on August 26, 2024
result[lab] 这个在哪里啊，在推理代码里没找到
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SSTato
commented on August 26, 2024
result[lab] 这个在哪里啊，在推理代码里没找到
我的代码里有的
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Related Issues (8)
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- 关于urbansound8k数据集 HOT 1
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