From 37da6dd879574383aefe8d69b5180f76d2f920bc Mon Sep 17 00:00:00 2001 From: qiyun996 <237024888@qq.com> Date: Thu, 30 Dec 2021 15:12:53 +0800 Subject: [PATCH] commit --- ec/tortmp.py | 73 +++++++++++++++++++++++++++++++ ec/tortsp copy.py | 45 +++++++++++++++++++ ec/tortsp.py | 109 ++++++++++++++++++++++++++++++++++++++++++++++ main.py | 4 +- 4 files changed, 230 insertions(+), 1 deletion(-) create mode 100644 ec/tortmp.py create mode 100644 ec/tortsp copy.py create mode 100644 ec/tortsp.py diff --git a/ec/tortmp.py b/ec/tortmp.py new file mode 100644 index 0000000..829eab8 --- /dev/null +++ b/ec/tortmp.py @@ -0,0 +1,73 @@ +import cv2 +import time +import subprocess as sp +import multiprocessing + + +class stream_pusher(object): + def __init__(self, rtmp_url=None, raw_frame_q=None): # 类实例化的时候传入rtmp地址和帧传入队列 + self.rtmp_url = rtmp_url + self.raw_frame_q = raw_frame_q + + fps = 20 # 设置帧速率 + # 设置分辨率 + width = 1920 # 宽 + height = 1080 # 高 + + # 设置FFmpeg命令文本 + self.command = ['ffmpeg', + '-y', + '-f', 'rawvideo', + '-vcodec', 'rawvideo', + '-pix_fmt', 'bgr24', + '-s', "{}x{}".format(width, height), + '-r', str(fps), + '-i', '-', + '-c:v', 'libx264', + '-pix_fmt', 'yuv420p', + '-preset', 'ultrafast', + '-f', 'flv', + self.rtmp_url] + + # 向服务器推送 + def push_frame(self): + + # 配置向os传递命令的管道 + p = sp.Popen(self.command, stdin=sp.PIPE) + + while True: + if not self.raw_frame_q.empty(): # 如果输入管道不为空 + # 把帧和相关信息从输入队列中取出 + frame = self.raw_frame_q.get() + + # 把内容放入管道，放入后有os自己去执行 + p.stdin.write(frame.tostring()) + else: + time.sleep(0.01) + + # 启动运行 + def run(self): + # 定义一个子进程 + push_frame_p = multiprocessing.Process(target=self.push_frame, args=()) + push_frame_p.daemon = True # 把子进程设置为daemon方式 + push_frame_p.start() # 运行子进程 + + +if __name__ == '__main__': + + cap = cv2.VideoCapture("rtsp://admin:hk123456@192.168.1.65:554") + + rtmpUrl = "rtmp://127.0.0.1:8554/video" # 用vcl等直播软件播放时，也用这个地址 + raw_q = multiprocessing.Queue() # 定义一个向推流对象传入帧及其他信息的队列 + + my_pusher = stream_pusher(rtmp_url=rtmpUrl, raw_frame_q=raw_q) # 实例化一个对象 + my_pusher.run() # 让这个对象在后台推送视频流 + while True: + _, raw_frame = cap.read() + + if not raw_q.full(): # 如果队列没满 + raw_q.put(raw_frame) # 送入队列 + if cv2.waitKey(1) == ord('q'): # q to quit + raise StopIteration + cap.release() + print('finish') diff --git a/ec/tortsp copy.py b/ec/tortsp copy.py new file mode 100644 index 0000000..f89560b --- /dev/null +++ b/ec/tortsp copy.py @@ -0,0 +1,45 @@ +# -*- coding:utf-8 -*- +# @Time : 2021/11/4 10:17 +# @Author : JulyLi +# @File : rtsp2.py +# @Software: PyCharm + +import cv2 + +import sys +import json +import subprocess as sp +import signal +import numpy as npbool +#此处换为你自己的地址 +rtsp_url = 'rtsp://192.168.1.182:8554/video' +cap = cv2.VideoCapture("rtsp://admin:hk123456@192.168.1.65:554") +# Get video information +fps = int(cap.get(cv2.CAP_PROP_FPS)) +width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) +height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) +command = ['ffmpeg', + '-y', + '-f', 'rawvideo', + '-vcodec', 'rawvideo', + '-pix_fmt', 'bgr24', + '-s', "{}x{}".format(width, height), + '-r', str(fps), + '-i', '-', + '-c:v', 'libx265', + '-pix_fmt', 'yuv420p', + '-preset', 'ultrafast', + '-f', 'rtsp', + rtsp_url] +p = sp.Popen(command, stdin=sp.PIPE) + +while (cap.isOpened()): + ret, frame = cap.read() + if not ret: + print("Opening camera is failed") + break + # frame = 你的图像处理的函数(frame) + p.stdin.write(frame.tostring()) + cv2.imshow('img',frame) + if cv2.waitKey(1) == ord('q'): # q to quit + raise StopIteration diff --git a/ec/tortsp.py b/ec/tortsp.py new file mode 100644 index 0000000..9239cca --- /dev/null +++ b/ec/tortsp.py @@ -0,0 +1,109 @@ +# -*- coding:utf-8 -*- +# @Time : 2021/11/4 10:17 +# @Author : JulyLi +# @File : rtsp2.py +# @Software: PyCharm + +import cv2 +import gi +import sys +import json +import time +import signal +import numpy as np + +gi.require_version('Gst', '1.0') +gi.require_version('GstRtspServer', '1.0') +from gi.repository import Gst, GstRtspServer, GObject + +#cv2.namedWindow('video_realtime_face', cv2.WINDOW_NORMAL) + +def to_node(type, message): + # convert to json and print (node helper will read from stdout) + try: + print(json.dumps({type: message})) + except Exception: + pass + # stdout has to be flushed manually to prevent delays in the node helper communication + sys.stdout.flush() + +to_node("status", "Facerecognition started...") + +def shutdown(self, signum): + to_node("status", 'Shutdown: Cleaning up camera...') + quit() + +signal.signal(signal.SIGINT, shutdown) + + +class SensorFactory(GstRtspServer.RTSPMediaFactory): + def __init__(self, **properties): + super(SensorFactory, self).__init__(**properties) + self.cap = cv2.VideoCapture("rtsp://admin:admin123@192.168.2.190:554/sub") + # self.cap = cv2.VideoCapture("shmsrc socket-path=/tmp/foo2 ! video/x-raw, format=BGR ,width=1920,height=1080,framerate=30/1 ! videoconvert ! video/x-raw, format=BGR ! appsink") + #self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920) + #self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080) + self.number_frames = 0 + self.fps = 30.0 + self.duration = 1 / self.fps * Gst.SECOND # duration of a frame in nanoseconds + self.launch_string = 'appsrc name=source is-live=true block=true format=GST_FORMAT_TIME ' \ + 'caps=video/x-raw,format=BGR,width=1920,height=1080,framerate=30/1 ' \ + '! videoconvert ! video/x-raw,format=I420 ' \ + '! x264enc speed-preset=ultrafast tune=zerolatency threads=4 ' \ + '! rtph264pay config-interval=1 name=pay0 pt=96' + + def on_need_data(self, src, lenght): + if self.cap.isOpened(): + ret, frame = self.cap.read() + if ret: + #cv2.imshow("video_realtime_face", frame) + #if cv2.waitKey(1) & 0xFF == ord('q'): + # return + data = frame.tostring() + buf = Gst.Buffer.new_allocate(None, len(data), None) + buf.fill(0, data) + buf.duration = self.duration + timestamp = self.number_frames * self.duration + buf.pts = buf.dts = int(timestamp) + buf.offset = timestamp + self.number_frames += 1 + retval = src.emit('push-buffer', buf) + print('pushed buffer, frame {}, duration {} ns, durations {} s'.format(self.number_frames, + self.duration, + self.duration / Gst.SECOND)) + if retval != Gst.FlowReturn.OK: + print(retval) + + def do_create_element(self, url): + return Gst.parse_launch(self.launch_string) + + def do_configure(self, rtsp_media): + self.number_frames = 0 + appsrc = rtsp_media.get_element().get_child_by_name('source') + appsrc.connect('need-data', self.on_need_data) + + +class GstServer(GstRtspServer.RTSPServer): + def __init__(self, **properties): + super(GstServer, self).__init__(**properties) + self.factory = SensorFactory() + self.factory.set_shared(True) + self.get_mount_points().add_factory("/test", self.factory) + self.attach(None) + + +def run(): + GObject.threads_init() + Gst.init(None) + + server = GstServer() + rtsp_port_num = 8554 + print("\n *** DeepStream: Launched RTSP Streaming at rtsp://localhost:%d/test ***\n\n" % rtsp_port_num) + loop = GObject.MainLoop() + loop.run() + + + +if __name__ == "__main__": + run() + diff --git a/main.py b/main.py index b0d0263..e8f295d 100644 --- a/main.py +++ b/main.py @@ -271,5 +271,7 @@ if __name__ == '__main__': args.img_size = check_img_size(args.img_size) print(args) - with torch.no_grad(): + with torch.no_grad(): + print(torch.__version__) #注意是双下划线 + detect(args)