# Python 示例代码绘制语谱图并改变颜色importlibrosaimportlibrosa.displayimportmatplotlib.pyplotasplt audio_file='audio.wav'y,sr=librosa.load(audio_file)spectrogram=librosa.feature.melspectrogram(y=y,sr=sr)plt.figure(figsize=(10,4))librosa.display.specshow(librosa.power_to_db(spectrogram,ref=np.max)...
sr=sample_rate)# 提取梅尔频谱图mel_spectrogram=librosa.feature.melspectrogram(audio,sr=sample_rate,n_fft=n_fft,hop_length=hop_length,n_mels=n_mels)# 转换为对数刻度log_mel_spectrogram=librosa.power_to_db(mel_spectrogram)# 保存梅尔频谱图np.save(save_path,log_mel_spectrogram)...
power_to_db(features, ref=1.0, amin=1e-10, top_db=None) mean = np.mean(features, 0, keepdims=True) std = np.std(features, 0, keepdims=True) features = (features - mean) / (std + 1e-5) 模型 在模型结构上,一开始使用ECAPA-TDNN 模型结构,效果也不佳,变改成本项目的模型结构,然后...
x的梯度已经计算出来了，可以通过x.grad属性获取 print("Gradient of x with respect to the output:"...
apm power_off=1 然后利用如下命令进入grub sudo gedit /etc/default/grub 在对应选项进行更新(acpi不要选择off,不然会让已经安装好的nvidia驱动无法开机) GRUB_CMDLINE_LINUX="noacpi acpi=force apm power_off=1" 不是上面的default,开始应该是空的
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ../data/MNIST/raw/train-images-idx3-ubyte.gz 0%| | 0/9912422 [00:00<?, ?it/s] 100%|###| 9912422/9912422 [00:00<00:00, 4362...
torch.nn.DataParallel是一种能够将数据分散到多张显卡上从而加快模型训练的方法。 它的原理是首先在指定的每张显卡上拷贝一份模型,然后将输入的数据分散到各张显卡上,计算梯度,回传到第一张显卡上,然后再对模型进行参数优化。 所以,第一张显卡的负载往往更高,但由于该方法集成度高,书写简便,使用仍十分广泛。
To give clear instructions on how to complete a recipe, use these sections as follows: Getting ready This section tells you what to expect in the recipe and describes how to set up any software or any preliminary settings required for the recipe. How to do it... This section contains the...
Make PyTorch buildable from source on PowerPC (#129736) Fix XPU extension building (#132847) Other: Fix warning when using pickle on a nn.Module that contains tensor attributes (#130246) Fix NaNs return in MultiheadAttention when need_weights=False (#130014) Fix nested tensor MHA produces...
python3 ./db_preprocess.py --image_src_path=./datasets/icdar2015/test_images --bin_file_path=./prep_dataset 结果存在 ./prep_dataset 中 模型推理 模型转换。 使用PyTorch将模型权重文件.pth转换为.onnx文件,再使用ATC工具将.onnx文件转为离线推理模型文件.om文件。