pyqt视频播放器拉取视频流
时间: 2023-12-05 10:05:13 浏览: 147
qt使用ffmpeg api进行摄像头视频流的读取,推流,拉流,视频播放等功能的实现
以下是使用pyqt实现视频播放器拉取视频流的步骤:
1.安装必要的库和软件,包括pyqt、opencv-python、numpy和gstreamer等。
2.创建一个pyqt窗口,用于显示视频流。
3.使用opencv和gstreamer库来拉取视频流。
4.将拉取到的视频流转换为pyqt可以显示的格式。
5.将转换后的视频流显示在pyqt窗口中。
下面是一个简单的示例代码,可以拉取网络摄像头的视频流并在pyqt窗口中显示:
```python
import sys
import cv2
import numpy as np
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
from PyQt5.QtCore import Qt, QTimer
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtWidgets import QApplication, QWidget, QLabel
Gst.init(None)
class VideoPlayer(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle('Video Player')
self.setGeometry(100,100, 640, 480)
self.video_size = (640, 480)
self.video_label = QLabel(self)
self.video_label.setGeometry(0, 0, self.video_size[0], self.video_size[1])
self.video_label.setAlignment(Qt.AlignCenter)
self.video_label.setStyleSheet('background-color: black')
self.video_buffer = np.zeros((self.video_size[1], self.video_size[0], 3), dtype=np.uint8)
self.video_buffer.fill(0)
self.video_timer = QTimer(self)
self.video_timer.timeout.connect(self.update_video)
self.video_timer.start(30)
self.video_pipeline = Gst.Pipeline()
self.video_source = Gst.ElementFactory.make('v4l2src')
self.video_source.set_property('device', '/dev/video0')
self.video_caps = Gst.ElementFactory.make('capsfilter')
self.video_caps.set_property('caps', Gst.Caps.from_string('video/x-raw, width={}, height={}, framerate=30/1'.format(self.video_size[0], self.video_size[1])))
self.video_decoder = Gst.ElementFactory.make('decodebin')
self.video_convert = Gst.ElementFactory.make('videoconvert')
self.video_sink = Gst.ElementFactory.make('appsink')
self.video_sink.set_property('max-buffers', 1)
self.video_sink.set_property('drop', True)
self.video_sink.set_property('emit-signals', True)
self.video_sink.set_property('sync', False)
self.video_sink.connect('new-sample', self.on_new_video_sample)
self.video_pipeline.add(self.video_source)
self.video_pipeline.add(self.video_caps)
self.video_pipeline.add(self.video_decoder)
self.video_pipeline.add(self.video_convert)
self.video_pipeline.add(self.video_sink)
self.video_source.link(self.video_caps)
self.video_caps.link(self.video_decoder)
self.video_decoder.connect('pad-added', self.on_video_decoder_pad_added)
self.video_convert.link(self.video_sink)
self.video_pipeline.set_state(Gst.State.PLAYING)
def on_video_decoder_pad_added(self, decoder, pad):
pad.link(self.video_convert.get_static_pad('sink'))
def on_new_video_sample(self, sink):
sample = sink.emit('pull-sample')
buffer = sample.get_buffer()
caps = sample.get_caps()
width = caps.get_structure(0).get_value('width')
height = caps.get_structure(0).get_value('height')
_, mapinfo = buffer.map(Gst.MapFlags.READ)
self.video_buffer = np.ndarray((height, width, 3), buffer=mapinfo.data, dtype=np.uint8)
buffer.unmap(mapinfo)
def update_video(self):
if not self.video_buffer is None:
image = QImage(self.video_buffer.data, self.video_size[0], self.video_size[1], QImage.Format_RGB888)
pixmap = QPixmap.fromImage(image)
self.video_label.setPixmap(pixmap)
if __name__ == '__main__':
app = QApplication(sys.argv)
player = VideoPlayer()
player.show()
sys.exit(app.exec_())
```
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