Comments (8)
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.
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
from audioclassification-paddlepaddle.
是的
看你的环境是安装哪个版本的Paddle,
from audioclassification-paddlepaddle.
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
from audioclassification-paddlepaddle.
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
from audioclassification-paddlepaddle.
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?
from audioclassification-paddlepaddle.
result[lab] 这个在哪里啊,在推理代码里没找到
from audioclassification-paddlepaddle.
result[lab] 这个在哪里啊,在推理代码里没找到
我的代码里有的
from audioclassification-paddlepaddle.
Related Issues (8)
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- BaiduCN1.2k Model预训练声学模型 HOT 2
- 训练时报错,提示ValueError: invalid literal for int() with base 10: '知更鸟' HOT 4
- 训练时报错 HOT 4
- 关于urbansound8k数据集 HOT 1
- 运行train.py出现这个错误KeyError: "attribute 'fft_window' already exists."怎么解决?
- 'CUFFT_INTERNAL_ERROR'. Driver or internal cuFFT library error HOT 1
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from audioclassification-paddlepaddle.