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Python

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###############################################################################
# Copyright (C) 2024 LiveTalking@lipku https://github.com/lipku/LiveTalking
# email: lipku@foxmail.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
###############################################################################
import math
import torch
import numpy as np
import subprocess
import os
import time
import cv2
import glob
import resampy
import queue
from queue import Queue
from threading import Thread, Event
from io import BytesIO
import soundfile as sf
import asyncio
from av import AudioFrame, VideoFrame
import av
from fractions import Fraction
from ttsreal import EdgeTTS,SovitsTTS,XTTS,CosyVoiceTTS,FishTTS,TencentTTS
from logger import logger
from tqdm import tqdm
def read_imgs(img_list):
frames = []
logger.info('reading images...')
for img_path in tqdm(img_list):
frame = cv2.imread(img_path)
frames.append(frame)
return frames
def play_audio(quit_event,queue):
import pyaudio
p = pyaudio.PyAudio()
stream = p.open(
rate=16000,
channels=1,
format=8,
output=True,
output_device_index=1,
)
stream.start_stream()
# while queue.qsize() <= 0:
# time.sleep(0.1)
while not quit_event.is_set():
stream.write(queue.get(block=True))
stream.close()
class BaseReal:
def __init__(self, opt):
self.opt = opt
self.sample_rate = 16000
self.chunk = self.sample_rate // opt.fps # 320 samples per chunk (20ms * 16000 / 1000)
self.sessionid = self.opt.sessionid
if opt.tts == "edgetts":
self.tts = EdgeTTS(opt,self)
elif opt.tts == "gpt-sovits":
self.tts = SovitsTTS(opt,self)
elif opt.tts == "xtts":
self.tts = XTTS(opt,self)
elif opt.tts == "cosyvoice":
self.tts = CosyVoiceTTS(opt,self)
elif opt.tts == "fishtts":
self.tts = FishTTS(opt,self)
elif opt.tts == "tencent":
self.tts = TencentTTS(opt,self)
self.speaking = False
self.recording = False
self._record_video_pipe = None
self._record_audio_pipe = None
self.width = self.height = 0
self.curr_state=0
self.custom_img_cycle = {}
self.custom_audio_cycle = {}
self.custom_audio_index = {}
self.custom_index = {}
self.custom_opt = {}
self.__loadcustom()
def put_msg_txt(self,msg,eventpoint=None):
self.tts.put_msg_txt(msg,eventpoint)
def put_audio_frame(self,audio_chunk,eventpoint=None): #16khz 20ms pcm
self.asr.put_audio_frame(audio_chunk,eventpoint)
def put_audio_file(self,filebyte):
input_stream = BytesIO(filebyte)
stream = self.__create_bytes_stream(input_stream)
streamlen = stream.shape[0]
idx=0
while streamlen >= self.chunk: #and self.state==State.RUNNING
self.put_audio_frame(stream[idx:idx+self.chunk])
streamlen -= self.chunk
idx += self.chunk
def __create_bytes_stream(self,byte_stream):
#byte_stream=BytesIO(buffer)
stream, sample_rate = sf.read(byte_stream) # [T*sample_rate,] float64
logger.info(f'[INFO]put audio stream {sample_rate}: {stream.shape}')
stream = stream.astype(np.float32)
if stream.ndim > 1:
logger.info(f'[WARN] audio has {stream.shape[1]} channels, only use the first.')
stream = stream[:, 0]
if sample_rate != self.sample_rate and stream.shape[0]>0:
logger.info(f'[WARN] audio sample rate is {sample_rate}, resampling into {self.sample_rate}.')
stream = resampy.resample(x=stream, sr_orig=sample_rate, sr_new=self.sample_rate)
return stream
def flush_talk(self):
self.tts.flush_talk()
self.asr.flush_talk()
def is_speaking(self)->bool:
return self.speaking
def __loadcustom(self):
for item in self.opt.customopt:
logger.info(item)
input_img_list = glob.glob(os.path.join(item['imgpath'], '*.[jpJP][pnPN]*[gG]'))
input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0]))
self.custom_img_cycle[item['audiotype']] = read_imgs(input_img_list)
self.custom_audio_cycle[item['audiotype']], sample_rate = sf.read(item['audiopath'], dtype='float32')
self.custom_audio_index[item['audiotype']] = 0
self.custom_index[item['audiotype']] = 0
self.custom_opt[item['audiotype']] = item
def init_customindex(self):
self.curr_state=0
for key in self.custom_audio_index:
self.custom_audio_index[key]=0
for key in self.custom_index:
self.custom_index[key]=0
def notify(self,eventpoint):
logger.info("notify:%s",eventpoint)
def start_recording(self):
"""开始录制视频"""
if self.recording:
return
command = ['ffmpeg',
'-y', '-an',
'-f', 'rawvideo',
'-vcodec','rawvideo',
'-pix_fmt', 'bgr24', #像素格式
'-s', "{}x{}".format(self.width, self.height),
'-r', str(25),
'-i', '-',
'-pix_fmt', 'yuv420p',
'-vcodec', "h264",
#'-f' , 'flv',
f'temp{self.opt.sessionid}.mp4']
self._record_video_pipe = subprocess.Popen(command, shell=False, stdin=subprocess.PIPE)
acommand = ['ffmpeg',
'-y', '-vn',
'-f', 's16le',
#'-acodec','pcm_s16le',
'-ac', '1',
'-ar', '16000',
'-i', '-',
'-acodec', 'aac',
#'-f' , 'wav',
f'temp{self.opt.sessionid}.aac']
self._record_audio_pipe = subprocess.Popen(acommand, shell=False, stdin=subprocess.PIPE)
self.recording = True
# self.recordq_video.queue.clear()
# self.recordq_audio.queue.clear()
# self.container = av.open(path, mode="w")
# process_thread = Thread(target=self.record_frame, args=())
# process_thread.start()
def record_video_data(self,image):
if self.width == 0:
print("image.shape:",image.shape)
self.height,self.width,_ = image.shape
if self.recording:
self._record_video_pipe.stdin.write(image.tostring())
def record_audio_data(self,frame):
if self.recording:
self._record_audio_pipe.stdin.write(frame.tostring())
# def record_frame(self):
# videostream = self.container.add_stream("libx264", rate=25)
# videostream.codec_context.time_base = Fraction(1, 25)
# audiostream = self.container.add_stream("aac")
# audiostream.codec_context.time_base = Fraction(1, 16000)
# init = True
# framenum = 0
# while self.recording:
# try:
# videoframe = self.recordq_video.get(block=True, timeout=1)
# videoframe.pts = framenum #int(round(framenum*0.04 / videostream.codec_context.time_base))
# videoframe.dts = videoframe.pts
# if init:
# videostream.width = videoframe.width
# videostream.height = videoframe.height
# init = False
# for packet in videostream.encode(videoframe):
# self.container.mux(packet)
# for k in range(2):
# audioframe = self.recordq_audio.get(block=True, timeout=1)
# audioframe.pts = int(round((framenum*2+k)*0.02 / audiostream.codec_context.time_base))
# audioframe.dts = audioframe.pts
# for packet in audiostream.encode(audioframe):
# self.container.mux(packet)
# framenum += 1
# except queue.Empty:
# print('record queue empty,')
# continue
# except Exception as e:
# print(e)
# #break
# for packet in videostream.encode(None):
# self.container.mux(packet)
# for packet in audiostream.encode(None):
# self.container.mux(packet)
# self.container.close()
# self.recordq_video.queue.clear()
# self.recordq_audio.queue.clear()
# print('record thread stop')
def stop_recording(self):
"""停止录制视频"""
if not self.recording:
return
self.recording = False
self._record_video_pipe.stdin.close() #wait()
self._record_video_pipe.wait()
self._record_audio_pipe.stdin.close()
self._record_audio_pipe.wait()
cmd_combine_audio = f"ffmpeg -y -i temp{self.opt.sessionid}.aac -i temp{self.opt.sessionid}.mp4 -c:v copy -c:a copy data/record.mp4"
os.system(cmd_combine_audio)
#os.remove(output_path)
def mirror_index(self,size, index):
#size = len(self.coord_list_cycle)
turn = index // size
res = index % size
if turn % 2 == 0:
return res
else:
return size - res - 1
def get_audio_stream(self,audiotype):
idx = self.custom_audio_index[audiotype]
stream = self.custom_audio_cycle[audiotype][idx:idx+self.chunk]
self.custom_audio_index[audiotype] += self.chunk
if self.custom_audio_index[audiotype]>=self.custom_audio_cycle[audiotype].shape[0]:
self.curr_state = 1 #当前视频不循环播放,切换到静音状态
return stream
def set_custom_state(self,audiotype, reinit=True):
print('set_custom_state:',audiotype)
if self.custom_audio_index.get(audiotype) is None:
return
self.curr_state = audiotype
if reinit:
self.custom_audio_index[audiotype] = 0
self.custom_index[audiotype] = 0
def process_frames(self,quit_event,loop=None,audio_track=None,video_track=None):
enable_transition = False # 设置为False禁用过渡效果True启用
if enable_transition:
_last_speaking = False
_transition_start = time.time()
_transition_duration = 0.1 # 过渡时间
_last_silent_frame = None # 静音帧缓存
_last_speaking_frame = None # 说话帧缓存
if self.opt.transport=='virtualcam':
import pyvirtualcam
vircam = None
audio_tmp = queue.Queue(maxsize=3000)
audio_thread = Thread(target=play_audio, args=(quit_event,audio_tmp,), daemon=True, name="pyaudio_stream")
audio_thread.start()
while not quit_event.is_set():
try:
res_frame,idx,audio_frames = self.res_frame_queue.get(block=True, timeout=1)
except queue.Empty:
continue
if enable_transition:
# 检测状态变化
current_speaking = not (audio_frames[0][1]!=0 and audio_frames[1][1]!=0)
if current_speaking != _last_speaking:
logger.info(f"状态切换:{'说话' if _last_speaking else '静音'}{'说话' if current_speaking else '静音'}")
_transition_start = time.time()
_last_speaking = current_speaking
if audio_frames[0][1]!=0 and audio_frames[1][1]!=0: #全为静音数据只需要取fullimg
self.speaking = False
audiotype = audio_frames[0][1]
if self.custom_index.get(audiotype) is not None: #有自定义视频
mirindex = self.mirror_index(len(self.custom_img_cycle[audiotype]),self.custom_index[audiotype])
target_frame = self.custom_img_cycle[audiotype][mirindex]
self.custom_index[audiotype] += 1
else:
target_frame = self.frame_list_cycle[idx]
if enable_transition:
# 说话→静音过渡
if time.time() - _transition_start < _transition_duration and _last_speaking_frame is not None:
alpha = min(1.0, (time.time() - _transition_start) / _transition_duration)
combine_frame = cv2.addWeighted(_last_speaking_frame, 1-alpha, target_frame, alpha, 0)
else:
combine_frame = target_frame
# 缓存静音帧
_last_silent_frame = combine_frame.copy()
else:
combine_frame = target_frame
else:
self.speaking = True
try:
current_frame = self.paste_back_frame(res_frame,idx)
except Exception as e:
logger.warning(f"paste_back_frame error: {e}")
continue
if enable_transition:
# 静音→说话过渡
if time.time() - _transition_start < _transition_duration and _last_silent_frame is not None:
alpha = min(1.0, (time.time() - _transition_start) / _transition_duration)
combine_frame = cv2.addWeighted(_last_silent_frame, 1-alpha, current_frame, alpha, 0)
else:
combine_frame = current_frame
# 缓存说话帧
_last_speaking_frame = combine_frame.copy()
else:
combine_frame = current_frame
if self.opt.transport=='virtualcam':
if vircam==None:
height, width,_= combine_frame.shape
vircam = pyvirtualcam.Camera(width=width, height=height, fps=25, fmt=pyvirtualcam.PixelFormat.BGR,print_fps=True)
vircam.send(combine_frame)
else: #webrtc
image = combine_frame
image[0,:] &= 0xFE
new_frame = VideoFrame.from_ndarray(image, format="bgr24")
asyncio.run_coroutine_threadsafe(video_track._queue.put((new_frame,None)), loop)
self.record_video_data(combine_frame)
for audio_frame in audio_frames:
frame,type,eventpoint = audio_frame
frame = (frame * 32767).astype(np.int16)
if self.opt.transport=='virtualcam':
audio_tmp.put(frame.tobytes()) #TODO
else: #webrtc
new_frame = AudioFrame(format='s16', layout='mono', samples=frame.shape[0])
new_frame.planes[0].update(frame.tobytes())
new_frame.sample_rate=16000
asyncio.run_coroutine_threadsafe(audio_track._queue.put((new_frame,eventpoint)), loop)
self.record_audio_data(frame)
if self.opt.transport=='virtualcam':
vircam.sleep_until_next_frame()
if self.opt.transport=='virtualcam':
audio_thread.join()
vircam.close()
logger.info('basereal process_frames thread stop')
# def process_custom(self,audiotype:int,idx:int):
# if self.curr_state!=audiotype: #从推理切到口播
# if idx in self.switch_pos: #在卡点位置可以切换
# self.curr_state=audiotype
# self.custom_index=0
# else:
# self.custom_index+=1