任务是使用 PyQt5 框架中的 QtMultimedia 从 5 个 IP 摄像机传输图像。最初我尝试使用OpenCV，但是5个视频流的并行播放降低了fps。我们决定尝试 QtMultimedia 以尝试提高性能。
首先，我尝试连接 1-2 个摄像头并进一步扩展此解决方案。相机名称：D-Link DCS-931L。我通过 tp-link 将相机连接到网络。
import sys
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QMainWindow, QMessageBox, QPushButton
from PyQt5.QtMultimedia import QCamera, QCameraInfo
from PyQt5.QtMultimediaWidgets import QCameraViewfinder
from PyQt5.QtCore import QUrl
class DualCameraApp(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle('Dual Camera App')
self.setGeometry(100, 100, 800, 600)
self.camera1 = QCamera(QCameraInfo.defaultCamera())
#self.camera2 = QCamera(QCameraInfo.availableCameras()[1])
self.viewfinder1 = QCameraViewfinder()
#self.viewfinder2 = QCameraViewfinder()
self.camera1.setViewfinder(self.viewfinder1)
#self.camera2.setViewfinder(self.viewfinder2)
self.camera1.start()
#self.camera2.start()
layout = QVBoxLayout()
layout.addWidget(self.viewfinder1)
#layout.addWidget(self.viewfinder2)
self.setLayout(layout)
if __name__ == '__main__':
app = QApplication(sys.argv)
window = DualCameraApp()
window.show()
sys.exit(app.exec_())
我使用 Camera 类来处理相机。我使用 QCameraInfo 类来连接相机。它具有 defaultCamera() 和可用的 Cameras() 方法。第一种方法给出默认的系统摄像头，第二种方法给出系统中的摄像头列表。
问题：这些方法不允许访问网络摄像机。总的来说，我只能连接到笔记本电脑中的相机。
然后我能够获得视频流的链接并尝试使用该链接进行连接。
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QWidget
from PyQt5.QtMultimedia import QMediaPlayer, QMediaContent, QCamera
from PyQt5.QtMultimediaWidgets import QVideoWidget
from PyQt5.QtCore import QUrl
class VideoPlayer(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("IP Camera Video Stream")
self.setGeometry(100, 100, 800, 600)
video_widget = QVideoWidget()
layout = QVBoxLayout()
layout.addWidget(video_widget)
container = QWidget()
container.setLayout(layout)
self.setCentralWidget(container)
self.media_player = QMediaPlayer(self, QMediaPlayer.VideoSurface)
self.media_player.setVideoOutput(video_widget)
# http://IP/h264.flv - with sound?
url = "http://admin:[email protected]/video.cgi"
self.media_content = QMediaContent(QUrl(url))
self.media_player.setMedia(self.media_content)
self.media_player.play()
if __name__ == '__main__':
app = QApplication(sys.argv)
player = VideoPlayer()
player.show()
sys.exit(app.exec_())
但也没有成功。在输出中，我得到一个没有视频流的空窗口。
请帮我解决一下。
更新：
我尝试在 PyQt6 中重写代码
import sys
from PyQt6.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QWidget
from PyQt6.QtMultimedia import QMediaPlayer
from PyQt6.QtMultimediaWidgets import QVideoWidget
from PyQt6.QtCore import QUrl
class VideoPlayer(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("IP Camera Video Stream")
self.setGeometry(100, 100, 800, 600)
video_widget = QVideoWidget()
layout = QVBoxLayout()
layout.addWidget(video_widget)
self.container = QWidget()
self.container.setLayout(layout)
self.setCentralWidget(self.container)
url = "rtsp://admin:[email protected]/play1.sdp"
self.media_player = QMediaPlayer(self)
self.media_player.setSource(QUrl(url))
self.video_widget = QVideoWidget()
self.media_player.setVideoOutput(self.video_widget)
# self.video_widget.show()
self.media_player.play()
if __name__ == '__main__':
app = QApplication(sys.argv)
player = VideoPlayer()
player.show()
sys.exit(app.exec())
要使用 Python 和 OpenCV 在 YouTube 上流式传输视频（在本示例中，不显示如何处理音频），您只需使用 OpenCV 将帧捕获为 NumPy 数组，然后通过子进程将它们传递给 ffmpeg 以创建管道。具体方法如下：
Capture Video with OpenCV: Use OpenCV to capture frames from a video source.
Process Frames: Optionally, process or modify frames as needed.
Use ffmpeg via Subprocess: Use Python’s subprocess module to invoke ffmpeg, passing frames through a pipe.
以下是该过程的基本概要：
import cv2
import subprocess
class VideoStreamer:
def __init__(self, resolution, fps, rtmp_url):
self.resolution = resolution
self.fps = fps
self.rtmp_url = rtmp_url
self.streaming = False
self.command = [
'ffmpeg',
'-re',
'-f', 'rawvideo',
'-pix_fmt', 'bgr24',
'-s', f'{resolution[0]}x{resolution[1]}',
'-r', str(fps),
'-i', '-',
'-f', 'lavfi',
'-i', 'anullsrc=channel_layout=stereo:sample_rate=44100',
'-c:v', 'libx264',
'-pix_fmt', 'yuv420p',
'-x264-params', 'keyint=48:min-keyint=48:scenecut=-1',
'-b:v', '4500k',
'-b:a', '128k',
'-ar', '44100',
'-acodec', 'aac',
'-vcodec', 'libx264',
'-preset', 'medium',
'-crf', '28',
'-threads', '4',
'-f', 'flv',
self.rtmp_url
]
def start(self):
self.streaming = True
self.pipe = subprocess.Popen(self.command, stdin=subprocess.PIPE)
self.thread = threading.Thread(target=self.stream)
self.thread.start()
def stop(self):
self.streaming = False
self.thread.join()
self.pipe.stdin.close()
self.pipe.terminate()
def stream(self):
while self.streaming:
if hasattr(self, 'frame'):
self.pipe.stdin.write(self.frame.tobytes())
def add_frame(self, frame):
self.frame = frame
# Configura l'indirizzo RTMP di YouTube
rtmp_url = 'rtmp://a.rtmp.youtube.com/live2/YOUR_YOUTUBE_KEY' # Sostituisci YOUR_STREAM_KEY con la tua chiave di streaming
# Configura i parametri di cattura della webcam
cap = cv2.VideoCapture(4) # Usa 0 per la webcam predefinita
# Controlla se la webcam è aperta correttamente
if not cap.isOpened():
print("Errore: impossibile aprire la webcam")
exit()
# Ottieni le dimensioni del frame dalla webcam
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
# Inizializza il VideoStreamer
video_streamer = VideoStreamer((width, height), fps, rtmp_url)
video_streamer.start()
print("Iniziando lo streaming, premi 'q' per terminare")
try:
while True:
ret, frame = cap.read()
if not ret:
print("Errore: impossibile leggere un frame dalla webcam")
break
# Mostra il frame nella finestra (opzionale)
cv2.imshow('Webcam', frame)
# Aggiungi il frame al VideoStreamer
video_streamer.add_frame(frame)
# Esci se si preme 'q'
if cv2.waitKey(1) & 0xFF == ord('q'):
break
finally:
# Rilascia le risorse
cap.release()
video_streamer.stop()
cv2.destroyAllWindows()
我在 GitHub 上编写了一个小型视频混合器，网址为 https://github.com/AlessioMichelassi/openPyVision_013/。它仍在进行中，但您可以在那里找到很多代码。当然，我能写出来这要归功于musicamante和ellyanesc的学习！ :)