Python中使用gi.repository.Gst库实现视频文件的实时对象检测
发布时间:2023-12-18 00:03:40
在Python中,可以使用gi.repository.Gst库来实现视频文件的实时对象检测。Gst是GStreamer多媒体框架的Python绑定库,可以用于处理音频和视频流。
下面是一个使用gi.repository.Gst库实现视频文件实时对象检测的例子:
1. 导入所需的库:
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst, GObject
import sys
import cv2
2. 初始化Gst:
Gst.init(None)
3. 设置GObject主循环,这将帮助我们在应用程序中使用Gst:
mainloop = GObject.MainLoop()
4. 创建Pipeline:
pipeline = Gst.Pipeline()
5. 创建元素:
source = Gst.ElementFactory.make('filesrc', 'file-source')
demux = Gst.ElementFactory.make('qtdemux', 'demux')
decoder = Gst.ElementFactory.make('decodebin', 'decoder')
caps = Gst.ElementFactory.make('capsfilter', 'caps')
filter = Gst.ElementFactory.make('queue', 'filter')
sink = Gst.ElementFactory.make('autovideosink', 'video-output')
6. 设置元素的属性:
caps.set_property('caps', Gst.Caps.from_string('video/x-raw, format=(string)YUY2'))
source.set_property('location', '<视频文件路径>')
7. 添加元素到Pipeline:
pipeline.add(source) pipeline.add(demux) pipeline.add(decoder) pipeline.add(caps) pipeline.add(filter) pipeline.add(sink)
8. 连接元素之间的pad:
source.link(demux) caps.link(decoder) filter.link(sink)
9. 设置Pipeline的bus和回调函数:
bus = pipeline.get_bus()
bus.add_signal_watch()
bus.connect('message::eos', on_eos)
bus.connect('message::error', on_error)
bus.connect('message::element', on_message)
10. 定义回调函数:
def on_eos(bus, msg):
mainloop.quit()
def on_error(bus, msg):
print('Error:', msg.parse_error())
mainloop.quit()
def on_message(bus, msg):
t = msg.type
if t == Gst.MessageType.STREAM_STATUS:
struct = msg.get_structure()
if struct.get_name() == 'prepare-xwindow-id':
struct.set_value('parent-window-id', <窗口ID>)
elif t == Gst.MessageType.ELEMENT:
s = msg.get_structure()
if s.get_name() == 'prepare-window-handle':
s.set_value('window', <窗口句柄>)
s.set_value('timestamp', 0)
elif t == Gst.MessageType.STATE_CHANGED:
if msg.src == pipeline:
old_state, new_state, pending_state = msg.parse_state_changed()
if new_state == Gst.State.PLAYING:
print('Pipeline is now playing')
elif new_state == Gst.State.NULL:
print('Pipeline is now NULL')
11. 启动Pipeline:
pipeline.set_state(Gst.State.PLAYING)
12. 进入主循环:
try:
mainloop.run()
except KeyboardInterrupt:
pipeline.set_state(Gst.State.NULL)
sys.exit()
完整的代码如下:
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst, GObject
import sys
import cv2
def on_eos(bus, msg):
mainloop.quit()
def on_error(bus, msg):
print('Error:', msg.parse_error())
mainloop.quit()
def on_message(bus, msg):
t = msg.type
if t == Gst.MessageType.STREAM_STATUS:
struct = msg.get_structure()
if struct.get_name() == 'prepare-xwindow-id':
struct.set_value('parent-window-id', <窗口ID>)
elif t == Gst.MessageType.ELEMENT:
s = msg.get_structure()
if s.get_name() == 'prepare-window-handle':
s.set_value('window', <窗口句柄>)
s.set_value('timestamp', 0)
elif t == Gst.MessageType.STATE_CHANGED:
if msg.src == pipeline:
old_state, new_state, pending_state = msg.parse_state_changed()
if new_state == Gst.State.PLAYING:
print('Pipeline is now playing')
elif new_state == Gst.State.NULL:
print('Pipeline is now NULL')
Gst.init(None)
mainloop = GObject.MainLoop()
pipeline = Gst.Pipeline()
source = Gst.ElementFactory.make('filesrc', 'file-source')
demux = Gst.ElementFactory.make('qtdemux', 'demux')
decoder = Gst.ElementFactory.make('decodebin', 'decoder')
caps = Gst.ElementFactory.make('capsfilter', 'caps')
filter = Gst.ElementFactory.make('queue', 'filter')
sink = Gst.ElementFactory.make('autovideosink', 'video-output')
caps.set_property('caps', Gst.Caps.from_string('video/x-raw, format=(string)YUY2'))
source.set_property('location', '<视频文件路径>')
pipeline.add(source)
pipeline.add(demux)
pipeline.add(decoder)
pipeline.add(caps)
pipeline.add(filter)
pipeline.add(sink)
source.link(demux)
caps.link(decoder)
filter.link(sink)
bus = pipeline.get_bus()
bus.add_signal_watch()
bus.connect('message::eos', on_eos)
bus.connect('message::error', on_error)
bus.connect('message::element', on_message)
pipeline.set_state(Gst.State.PLAYING)
try:
mainloop.run()
except KeyboardInterrupt:
pipeline.set_state(Gst.State.NULL)
sys.exit()
上述代码中,对象的检测与GStreamer相关的API无关,主要是通过调用OpenCV等库来实现。你可以在on_message回调函数中添加你的对象检测代码。
需要注意的是,在代码中的<视频文件路径>,<窗口ID>和<窗口句柄>应替换为你实际使用的值。此外,你还需要安装并配置OpenCV库。
希望以上信息对你有所帮助!
