ffmpegrstp_0">1、sounddevice通过ffmpeg读取rstp远程声音

*** samples维度是samples_per_read指定 ***

##用全路径，调用系统ffmpeg，直接conda里运行不然容易出错
C:/Users/loong/.conda/envs/nlp/python.exe  D:\sound\ffmpeg_test.py

ffmpeg_test.py:

import sounddevice as sd
import numpy as np
import ffmpeg

# 音频设置
sample_rate = 44100
channels = 1
samples_per_read = 1024

# 打开RTSP流并连接到音频部分
# rtsp_url = 'rtsp://username:password@ip_address:port/stream_path'
rtsp_url = "rtsp://a******nnels/2?tcp"

input_stream = ffmpeg.input(rtsp_url).audio
print("##"*18)
print("input_stream:",input_stream)
print("##"*18)
# 配置音频处理管道和音频流
ffmpeg_process = (
    input_stream.output('pipe:', format='wav')
    .run_async(pipe_stdout=True)
    .stdout
)

# ffmpeg_process = ffmpeg.input(
#         rtsp_url
#     ).output(
#         'pipe:',
#         format='f32le',
#         acodec='pcm_f32le',
#         ac=channels,
#         ar=sample_rate,
#         loglevel='quiet',
#     ).run_async(pipe_stdout=True)

# 创建音频流
with sd.InputStream(channels=channels, dtype='float32', samplerate=sample_rate) as stream:
    while True:
        # 从FFmpeg进程中读取音频数据
        data = ffmpeg_process.read(samples_per_read * channels * 4)  # 每个样本32位浮点数，乘以4
        if not data:
            break

        # 将音频数据转换为浮点数数组
        samples = np.frombuffer(data, dtype=np.float32)
        print(samples.shape, samples)
        # 根据需要进行音频处理
        # ...

        # 在此处可以使用处理后的音频数据
        # ...

        # 读取下一批音频数据
        samples, _ = stream.read(samples_per_read)  # 阻塞式读取

# 停止FFmpeg进程，释放资源
ffmpeg_process.wait()
ffmpeg_process.terminate()

ffmpegzai_conda_71">2、 ffmpegzai conda环境里执行不了，在系统可以运行

import ffmpeg

stream = ffmpeg.input(r'D:\sound\222.mp4')
stream = ffmpeg.filter(stream, 'fps', fps=25, round='up')
stream = ffmpeg.output(stream, r'D:\sound\dummy2.mp4')
ffmpeg.run(stream)

会报错：
File “C:\Users\loong.conda\envs\nlp\lib\subprocess.py”, line 1435, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。

解决方法，用全部绝对路径执行可以正常运行

C:/Users/loong/.conda/envs/nlp/python.exe  D:\sound\ffmpeg_sounddevice.py