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Running
on
Zero
File size: 4,238 Bytes
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#!/usr/bin/env python -u
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import numpy as np
import os
import sys
import librosa
def read_and_config_file(args, input_path, decode=0):
"""
Reads and processes the input file or directory to extract audio file paths or configuration data.
Parameters:
args: The args
input_path (str): Path to a file or directory containing audio data or file paths.
decode (bool): If True (decode=1) for decoding, process the input as audio files directly (find .wav or .flac files) or from a .scp file.
If False (decode=0) for training, assume the input file contains lines with paths to audio files.
Returns:
processed_list (list): A list of processed file paths or a list of dictionaries containing input
and optional condition audio paths.
"""
processed_list = [] # Initialize list to hold processed file paths or configurations
if decode:
if args.task == 'target_speaker_extraction':
if args.network_reference.cue== 'lip':
# If decode is True, find video files in a directory or single file
if os.path.isdir(input_path):
# Find all .mp4 , mov .avi files in the input directory
processed_list = librosa.util.find_files(input_path, ext="mp4")
processed_list += librosa.util.find_files(input_path, ext="avi")
processed_list += librosa.util.find_files(input_path, ext="mov")
processed_list += librosa.util.find_files(input_path, ext="MOV")
else:
# If it's a single file and it's a .wav or .flac, add to processed list
if input_path.lower().endswith(".mp4") or input_path.lower().endswith(".avi") or input_path.lower().endswith(".mov"):
processed_list.append(input_path)
else:
# Read file paths from the input text file (one path per line)
with open(input_path) as fid:
for line in fid:
path_s = line.strip().split() # Split paths (space-separated)
processed_list.append(path_s[0]) # Add the first path (input audio path)
return processed_list
# If decode is True, find audio files in a directory or single file
if os.path.isdir(input_path):
# Find all .wav files in the input directory
processed_list = librosa.util.find_files(input_path, ext="wav")
if len(processed_list) == 0:
# If no .wav files, look for .flac files
processed_list = librosa.util.find_files(input_path, ext="flac")
else:
# If it's a single file and it's a .wav or .flac, add to processed list
if input_path.lower().endswith(".wav") or input_path.lower().endswith(".flac"):
processed_list.append(input_path)
else:
# Read file paths from the input text file (one path per line)
with open(input_path) as fid:
for line in fid:
path_s = line.strip().split() # Split paths (space-separated)
processed_list.append(path_s[0]) # Add the first path (input audio path)
return processed_list
# If decode is False, treat the input file as a configuration file
with open(input_path) as fid:
for line in fid:
tmp_paths = line.strip().split() # Split paths (space-separated)
if len(tmp_paths) == 2:
# If two paths per line, treat the second as 'condition_audio'
sample = {'inputs': tmp_paths[0], 'condition_audio': tmp_paths[1]}
elif len(tmp_paths) == 1:
# If only one path per line, treat it as 'inputs'
sample = {'inputs': tmp_paths[0]}
processed_list.append(sample) # Append processed sample to list
return processed_list
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