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• ffmpeg rtsp protocol not found

  8 janvier 2021, par fade

  The bug :
(base) [xc@localhost test]$ python rtsp2rtmp.py
command : ffmpeg -y -hwaccel_output_format cuda -hwaccel cuvid -probesize 42M -hwaccel_device 2 -f rawvideo -c:v hevc_cuvid -pix_fmt bgr24 -s 1920x1080 -r 25 -i rtsp ://admin:scut123456@192.168.1.43:554/Streaming/Channels/1 -c:v h264_nvenc -pix_fmt yuv420p -f flv rtmp ://192.168.1.23:1935/live/cam1
ffmpeg version 4.2 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 7 (GCC)
configuration : —enable-nonfree —enable-cuda-nvcc —enable-libnpp —enable-shared —enable-cuda —enable-cuvid —enable-nvenc —extra-cflags=-I/usr/local/cuda/include —extra-ldflags=-L/usr/local/cuda/lib64
libavutil 56. 31.100 / 56. 31.100
libavcodec 58. 54.100 / 58. 54.100
libavformat 58. 29.100 / 58. 29.100
libavdevice 58. 8.100 / 58. 8.100
libavfilter 7. 57.100 / 7. 57.100
libswscale 5. 5.100 / 5. 5.100
libswresample 3. 5.100 / 3. 5.100
rtsp ://admin:scut123456@192.168.1.43:554/Streaming/Channels/1 : Protocol not found
Did you mean file:rtsp ://admin:scut123456@192.168.1.43:554/Streaming/Channels/1 ?

  


  The wrong code :
rtsp2rtmp.py

  


  import time
import cv2
import subprocess as sp
import os

if __name__ == "__main__":
    sources = [
        "rtsp://admin:scut123456@192.168.1.43:554/Streaming/Channels/1"
    ]
    rtmpUrl_base = "rtmp://192.168.1.23:1935/live/cam"
    fps = '25'
    solution = (1920, 1080)
    rtmpUrl = rtmpUrl_base+str(1)
    command = ['ffmpeg',
                '-y',
                '-hwaccel_output_format', 'cuda',
                '-hwaccel', 'cuvid',
                '-probesize','42M',
                '-hwaccel_device', '2',
                '-f', 'rawvideo',
                '-c:v','hevc_cuvid',
                '-pix_fmt', 'bgr24',
                # '--enable-network', '--enable-protocol=tcp' ,'--enable-demuxer=rtsp' ,'--enable-decoder=h264',
                '-s', "{}x{}".format(solution[0], solution[1]),  # 图片分辨率
                '-r', fps,  # 视频帧率
                '-i', sources[0],
               # '-vf', 'scale_npp = {}:-1'.format(basic_data[0]),  # 图片分辨率
                '-c:v', 'h264_nvenc',
                '-pix_fmt', 'yuv420p',
                '-f', 'flv',
                #'-pre','superfast',
                rtmpUrl]
    cmdString=' '.join(command)
    print("command:",cmdString)
    os.popen(cmd=cmdString);


  


  This py runs on
centos7

  


  However When I run the code below :
It is ok.

  


  import time
import cv2
import subprocess as sp


def read(source, command):
    cap = cv2.VideoCapture(source)
    count = 0
    tick = time.time()
    push_p = sp.Popen(command, stdin=sp.PIPE)
    while cap.isOpened():
        _, frame = cap.read()
        # imgs[0] = frame
        if frame is None:
            continue    
        count += 1
        # print(frame.tostring())
        # pipe = sp.Popen(command, stdin=sp.PIPE, env=my_env)
        #print(push_p.poll())
        # print(frame.shape)
        push_p.stdin.write(frame.tostring())
        if count % 25 == 0:
            tock = time.time()    
            print('Read 25 frames in', tock - tick)
            tick = tock


if __name__ == '__main__':
    sources = [
        'rtsp://admin:scut123456@192.168.1.43:554/Streaming/Channels/1',
    ]
    rtmpUrl_base = "rtmp://192.168.1.23:1935/live/cam"
    fps = '25'
    solution = (1920, 1080)
    rtmpUrl = rtmpUrl_base+str(1)
    command = ['ffmpeg',
                '-hwaccel_output_format', 'cuda',
                '-hwaccel', 'cuvid',
                '-probesize','42M',
                '-hwaccel_device', '2',
                '-f', 'rawvideo','-re',
               # '-vcodec','hevc_cuvid',
                '-pix_fmt', 'bgr24',
                '-s', "{}x{}".format(solution[0], solution[1]),  # 图片分辨率
                '-r', fps,  # 视频帧率
                '-i', '-',
               # '-vf', 'scale_npp = {}:-1'.format(basic_data[0]),  # 图片分辨率
                '-c:v', 'h264_nvenc',
                '-pix_fmt', 'yuv420p',
                '-f', 'flv',
                #'-pre','superfast',
                rtmpUrl]
    print("command: ",command)
    print('');
    read(sources[0], command)


  


• How do I prevent ffmpeg or gstreamer from terminating ?

  30 mai 2021, par mohammad hasani

  I'm trying to get some metadata (VCA data) from ONVIF and I'm using GStreamer for that.
it works fine and it gives me XML data but if it remains idle for 20 seconds I get this error :
Copy Code
Got EOS from element "pipeline0"

  


  and the GStreamer gets close. how can I stop EOS ? is it coming from the camera or GStreamer ?

  


  I'm using this command :
Copy Code

  


  


  


  gst-launch-1.0.exe rtspsrc location=rtsp://username:password@ip/rtsp_tunnel?vcd=2 ! application/x-rtp, media=application ! fakesink dump=true

  


  


  



  And this code :

  


  


  


  from threading import Thread
from time import sleep
import gi
import sys
import xmltodict


def xml_parser(data):
    try:
        print('ok')
        doc = xmltodict.parse(data)
        doc = doc['tt:MetadataStream']['tt:VideoAnalytics']['tt:Frame']

        _utc_time = doc['@UtcTime']
        _object_id = doc['tt:Object']['@ObjectId']

        doc = doc['tt:Object']['tt:Appearance']['tt:Shape']

        _bottom = doc['tt:BoundingBox']['@bottom']
        _top = doc['tt:BoundingBox']['@top']
        _right = doc['tt:BoundingBox']['@right']
        _left = doc['tt:BoundingBox']['@left']

        _center_of_gravity_x = doc['tt:CenterOfGravity']['@x']
        _center_of_gravity_y = doc['tt:CenterOfGravity']['@y']
        doc = doc['tt:Polygon']['tt:Point']
        points = list()
        points.append(_utc_time)
        points.append(_object_id)
        points.append(_bottom)
        points.append(_top)
        points.append(_right)
        points.append(_left)
        points.append(_center_of_gravity_x)
        points.append(_center_of_gravity_y)
        for point in doc:
            x = point['@x']
            y = point['@y']
            # points.append((x, y))
            points.append(x)
            points.append(y)
        with open('points.txt', 'a+') as f:
            f.write(', '.join(points))
            f.write('\r\n')
        print(points)
        
    except:
        pass


def on_new_buffer(p1):
    sample = p1.try_pull_sample(Gst.SECOND)
    if sample is None:
        return
    buffer = sample.get_buffer()
    buffer=buffer.extract_dup(0, buffer.get_size())
    print(buffer)




uri = 'rtsp://username:password@ip/rtsp_tunnel?vcd=2'

gi.require_version("Gst", "1.0")
gi.require_version("GstApp", "1.0")

from gi.repository import Gst, GstApp, GLib

Gst.init()

main_loop = GLib.MainLoop()
main_loop_thread = Thread(target=main_loop.run)
main_loop_thread.start()

pipeline = Gst.parse_launch("rtspsrc location=rtsp://service:tam!dhc0@172.16.130.110/rtsp_tunnel?vcd=2 ! application/x-rtp, media=application ! appsink emit-signals=True name=sink")
pipeline.set_delay(0)
pipeline.set_latency(0)

sink = pipeline.get_by_name('sink')
#sink.connect('new_sample', on_new_buffer)
#sink.set_property('emit-signals', True)
pipeline.set_state(Gst.State.PLAYING)
data =  list()

try:
    while True:
        sample = sink.try_pull_sample(Gst.SECOND)
        print(sample)
        if sample is None:
            continue
        print('okkk')
        buffer = sample.get_buffer()
        buffer = buffer.extract_dup(0, buffer.get_size())
        buffer = buffer[12:].decode()
        data.append(buffer)
        if buffer.endswith(''):
            data = ''.join(data)
            xml_parser(data)
            data = list()
except Exception as e:
    print(e)

main_loop.quit()
main_loop_thread.join()
print('end')

  


  


  



• avfilter/vf_dnn_processing : add a generic filter for image proccessing with dnn networks

  31 octobre 2019, par Guo, Yejun

  avfilter/vf_dnn_processing : add a generic filter for image proccessing with dnn networks
  This filter accepts all the dnn networks which do image processing.
  
  Currently, frame with formats rgb24 and bgr24 are supported. Other
  
  formats such as gray and YUV will be supported next. The dnn network
  
  can accept data in float32 or uint8 format. And the dnn network can
  
  change frame size.
  The following is a python script to halve the value of the first
  
  channel of the pixel. It demos how to setup and execute dnn model
  
  with python+tensorflow. It also generates .pb file which will be
  
  used by ffmpeg.
  import tensorflow as tf
  
  import numpy as np
  
  import imageio
  
  in_img = imageio.imread('in.bmp')
  
  in_img = in_img.astype(np.float32)/255.0
  
  in_data = in_img[np.newaxis, :]
  
  filter_data = np.array([0.5, 0, 0, 0, 1., 0, 0, 0, 1.]).reshape(1,1,3,3).astype(np.float32)
  
  filter = tf.Variable(filter_data)
  
  x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
  
  y = tf.nn.conv2d(x, filter, strides=[1, 1, 1, 1], padding='VALID', name='dnn_out')
  
  sess=tf.Session()
  
  sess.run(tf.global_variables_initializer())
  
  output = sess.run(y, feed_dict=x : in_data)
  
  graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
  
  tf.train.write_graph(graph_def, '.', 'halve_first_channel.pb', as_text=False)
  
  output = output * 255.0
  
  output = output.astype(np.uint8)
  
  imageio.imsave("out.bmp", np.squeeze(output))
  To do the same thing with ffmpeg :
  
   generate halve_first_channel.pb with the above script
  
   generate halve_first_channel.model with tools/python/convert.py
  
   try with following commands
  
    ./ffmpeg -i input.jpg -vf dnn_processing=model=halve_first_channel.model:input=dnn_in:output=dnn_out:fmt=rgb24:dnn_backend=native -y out.native.png
  
    ./ffmpeg -i input.jpg -vf dnn_processing=model=halve_first_channel.pb:input=dnn_in:output=dnn_out:fmt=rgb24:dnn_backend=tensorflow -y out.tf.png
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] configure
  • [DH] doc/filters.texi
  • [DH] libavfilter/Makefile
  • [DH] libavfilter/allfilters.c
  • [DH] libavfilter/vf_dnn_processing.c