python opencv 录制视频_python - 使用Opencv Python多线程录制视频 - 堆栈内存溢出
我认为您的工作方向正确，但是我无法使用您的代码保存文件。 这是一个使用多线程获取帧的视频流到视频小部件。 每个摄像机流都有两个线程：
线程＃1-专用于仅读取摄像机流中的帧。
线程＃2-专用于处理帧（显示和写入）。
因为cv2.VideoCapture.read()是一项阻止操作，所以我们将阅读帧与显示/写入分开。 因此，我们在其自己的独立线程中读取帧以通过减少I / O操作引起的延迟来“改善” FPS。 此外，通过将帧捕获隔离到其自己的线程，将始终有准备好处理的帧，而不必等待I / O操作完成并返回新的帧。 在第二个专门用于处理的线程中，我们现在可以自由地显示每个帧并将其保存到我们的输出文件中。
同样，通过将所有这些封装到一个对象中，我们可以为每个摄像机创建一组线程，无论使用多少个摄像机，它都可以轻松扩展。 由于每个摄像机流都是在后台线程中生成的，因此我们必须保持主线程处于活动状态。 确保将src字符串更改为您自己的相机。 这是同时录制三个视频流的示例。
from threading import Thread
import cv2
import time
class VideoWriterWidget(object):
def __init__(self, video_file_name, src=0):
# Create a VideoCapture object
self.frame_name = str(src)
self.video_file = video_file_name
self.video_file_name = video_file_name + '.avi'
self.capture = cv2.VideoCapture(src)
# Default resolutions of the frame are obtained (system dependent)
self.frame_width = int(self.capture.get(3))
self.frame_height = int(self.capture.get(4))
# Set up codec and output video settings
self.codec = cv2.VideoWriter_fourcc('M','J','P','G')
self.output_video = cv2.VideoWriter(self.video_file_name, self.codec, 30, (self.frame_width, self.frame_height))
# Start the thread to read frames from the video stream
self.thread = Thread(target=self.update, args=())
self.thread.daemon = True
self.thread.start()
# Start another thread to show/save frames
self.start_recording()
print('initialized {}'.format(self.video_file))
def update(self):
# Read the next frame from the stream in a different thread
while True:
if self.capture.isOpened():
(self.status, self.frame) = self.capture.read()
def show_frame(self):
# Display frames in main program
if self.status:
cv2.imshow(self.frame_name, self.frame)
# Press Q on keyboard to stop recording
key = cv2.waitKey(1)
if key == ord('q'):
self.capture.release()
self.output_video.release()
cv2.destroyAllWindows()
exit(1)
def save_frame(self):
# Save obtained frame into video output file
self.output_video.write(self.frame)
def start_recording(self):
# Create another thread to show/save frames
def start_recording_thread():
while True:
try:
self.show_frame()
self.save_frame()
except AttributeError:
pass
self.recording_thread = Thread(target=start_recording_thread, args=())
self.recording_thread.daemon = True
self.recording_thread.start()
if __name__ == '__main__':
src1 = 'Your link1'
video_writer_widget1 = VideoWriterWidget('Camera 1', src1)
src2 = 'Your link2'
video_writer_widget2 = VideoWriterWidget('Camera 2', src2)
src3 = 'Your link3'
video_writer_widget3 = VideoWriterWidget('Camera 3', src3)
# Since each video player is in its own thread, we need to keep the main thread alive.
# Keep spinning using time.sleep() so the background threads keep running
# Threads are set to daemon=True so they will automatically die
# when the main thread dies
while True:
time.sleep(5)