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• Stuck in installing a voicecloner via Python (module not found)

  25 novembre 2023, par Wimmah

  I use Python 3.11.5

  


  As a great Python n00b I enter this forum because I'm stuck with installing a Voice Cloner (for personal use to do a funny trick for X-mas with my family) Its this tool that i'm trying to install : https://github.com/CorentinJ/Real-Time-Voice-Cloning

  


  With a little help of chatGTP I came quite far but for some reason the downloaded datasets cant be found. Instructions of the tool state :

  


  Install intructions form Github
So my tree looks like this :

  


  (base) willem@willems-air Voice cloner % tree
.
├── demo_cli.py
├── demo_toolbox.py
├── encoder_preprocess.py
├── encoder_train.py
├── saved_models
│   └── default
│       ├── encoder.pt
│       ├── synthesizer.pt
│       └── vocoder.pt
├── synthesizer_preprocess_audio.py
├── synthesizer_preprocess_embeds.py
├── synthesizer_train.py
└── vocoder_train.py

3 directories, 11 files


  


  However, when I give the command to execute the demo, I get the message that a needed module cant be found :

  


  (base) willem@willems-air Voice cloner % python demo_cli.py&#xA;Traceback (most recent call last):&#xA;  File "/Users/willem/Desktop/Voice cloner/demo_cli.py", line 10, in <module>&#xA;    from encoder import inference as encoder&#xA;ModuleNotFoundError: No module named &#x27;encoder&#x27;&#xA;</module>

  


  I build a tree that (for me) looks inline with the installation instructions...(And of course i downloaded the modules without any errors)
Here also the first lines of the command demo_cli.py where you also see the path :

  


  import argparse
import os
from pathlib import Path

import librosa
import numpy as np
import soundfile as sf
import torch

from encoder import inference as encoder
from encoder.params_model import model_embedding_size as speaker_embedding_size
from synthesizer.inference import Synthesizer
from utils.argutils import print_args
from utils.default_models import ensure_default_models
from vocoder import inference as vocoder


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter
    )
    parser.add_argument("-e", "--enc_model_fpath", type=Path,
                        default="saved_models/default/encoder.pt",


  


  I think i missed out a quite basic step here, but this far ChatGTP is looping and cant help any more, so I need a human tip i guess ;)

  


  Thx in advance !

  


• How to use Intel Quick Sync/iGPU in OVH dedicated server

  3 octobre 2022, par Meir

  I have a dedicated server with the following HW :

  


  CPU: Intel(R) Xeon(R) E-2386G CPU @ 3.50GHz
Motherboard: Manufacturer: ASRockRack, Product Name: E3C252D4U-2T/OVH


  


  According to the Intel website, E-2386G has Intel Quick Sync, and I want to use it.
I tried to check which VGA I have in the system (expected to see Intel + the local), and this is the output :

  


  05:00.0 VGA compatible controller: ASPEED Technology, Inc. ASPEED Graphics Family (rev 41)


  


  I.e., the Intel iGPU doesn't recognize at all in the system, I tried to check in /dev/dri what are the existing devices there, and this is the output :

  


  ls -alh /dev/dri
total 0
drwxr-xr-x  3 root root      80 Sep 19 10:28 .
drwxr-xr-x 18 root root    4.2K Sep 20 13:05 ..
drwxr-xr-x  2 root root      60 Sep 19 10:28 by-path
crw-rw----  1 root video 226, 0 Sep 19 10:28 card0


  


  When I tried to run vainfo tool, I get the following results :

  


  Vanilla run :

  


  vainfo
error: can't connect to X server!
libva info: VA-API version 1.7.0
libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null)
vaInitialize failed with error code -1 (unknown libva error),exit


  


  Run after setting export LIBVA_DRIVER_NAME=i965 :

  


  vainfo
error: can't connect to X server!
libva info: VA-API version 1.7.0
libva info: User environment variable requested driver 'i965'
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/i965_drv_video.so
libva info: Found init function __vaDriverInit_1_6
libva error: /usr/lib/x86_64-linux-gnu/dri/i965_drv_video.so init failed
libva info: va_openDriver() returns -1
vaInitialize failed with error code -1 (unknown libva error),exit


  


  Run with sudo :

  


  sudo vainfo
error: XDG_RUNTIME_DIR not set in the environment.
error: can't connect to X server!
libva info: VA-API version 1.7.0
libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null)
vaInitialize failed with error code -1 (unknown libva error),exit


  


  How can I use Intel Quick Sync ?

  


  --- edit ---

  


  Running the suggested commands :

  


  vainfo --display DRM
libva info: VA-API version 1.7.0
libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null)
vaInitialize failed with error code -1 (unknown libva error),exit

vainfo --display wayland
error: failed to initialize display 'wayland'

vainfo --display help
Available displays:
  wayland
  x11
  DRM


sudo journalctl -b | grep i965  (no results)


  


• Python code mutes whole video instead of sliding a song. What shall I do ?

  16 juillet 2023, par Armed Nun

  I am trying to separate a song into 4 parts and slide the parts in random parts of a video. The problem with my code is that the final output video is muted. I want to play parts of the song at random intervals and while the song is playing the original video shall be muted. Thanks to everyone who helps

  


  import random
from moviepy.editor import *

def split_audio_into_parts(mp3_path, num_parts):
    audio = AudioFileClip(mp3_path)
    duration = audio.duration
    part_duration = duration / num_parts

    parts = []
    for i in range(num_parts):
        start_time = i * part_duration
        end_time = start_time + part_duration if i < num_parts - 1 else duration
        part = audio.subclip(start_time, end_time)
        parts.append(part)

    return parts

def split_video_into_segments(video_path, num_segments):
    video = VideoFileClip(video_path)
    duration = video.duration
    segment_duration = duration / num_segments

    segments = []
    for i in range(num_segments):
        start_time = i * segment_duration
        end_time = start_time + segment_duration if i < num_segments - 1 else duration
        segment = video.subclip(start_time, end_time)
        segments.append(segment)

    return segments

def insert_audio_into_segments(segments, audio_parts):
    modified_segments = []
    for segment, audio_part in zip(segments, audio_parts):
        audio_part = audio_part.volumex(0)  # Mute the audio part
        modified_segment = segment.set_audio(audio_part)
        modified_segments.append(modified_segment)

    return modified_segments

def combine_segments(segments):
    final_video = concatenate_videoclips(segments)
    return final_video

# Example usage
mp3_file_path = "C:/Users/Kris/PycharmProjects/videoeditingscript124234/DENKATA - Podvodnica Demo (1).mp3"
video_file_path = "C:/Users/Kris/PycharmProjects/videoeditingscript124234/family.guy.s21e13.1080p.web.h264-cakes[eztv.re].mkv"
num_parts = 4

audio_parts = split_audio_into_parts(mp3_file_path, num_parts)
segments = split_video_into_segments(video_file_path, num_parts)
segments = insert_audio_into_segments(segments, audio_parts)
final_video = combine_segments(segments)
final_video.write_videofile("output.mp4", codec="libx264", audio_codec="aac")


  


  I tried entering most stuff into chatGPT and asking questions around forums but without sucess, so lets hope I can see my solution here