Deepstream test1 rtsp is not working

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson orin nano development kit
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only) 6.0

• Issue Type( questions, new requirements, bugs)
RTSP is not working

import argparse
import sys
sys.path.append(‘…/’)

import gi
gi.require_version(‘Gst’, ‘1.0’)
gi.require_version(‘GstRtspServer’, ‘1.0’)
from gi.repository import GLib, Gst, GstRtspServer
from common.platform_info import PlatformInfo
from common.bus_call import bus_call

import pyds

PGIE_CLASS_ID_VEHICLE = 0
PGIE_CLASS_ID_BICYCLE = 1
PGIE_CLASS_ID_PERSON = 2
PGIE_CLASS_ID_ROADSIGN = 3
MUXER_BATCH_TIMEOUT_USEC = 33000

def osd_sink_pad_buffer_probe(pad,info,u_data):
frame_number=0
#Intiallizing object counter with 0.
obj_counter = {
PGIE_CLASS_ID_VEHICLE:0,
PGIE_CLASS_ID_PERSON:0,
PGIE_CLASS_ID_BICYCLE:0,
PGIE_CLASS_ID_ROADSIGN:0
}
num_rects=0

gst_buffer = info.get_buffer()
if not gst_buffer:
    print("Unable to get GstBuffer ")
    return

# Retrieve batch metadata from the gst_buffer
# Note that pyds.gst_buffer_get_nvds_batch_meta() expects the
# C address of gst_buffer as input, which is obtained with hash(gst_buffer)
batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer))
l_frame = batch_meta.frame_meta_list
while l_frame is not None:
    try:
        # Note that l_frame.data needs a cast to pyds.NvDsFrameMeta
        # The casting is done by pyds.NvDsFrameMeta.cast()
        # The casting also keeps ownership of the underlying memory
        # in the C code, so the Python garbage collector will leave
        # it alone.
        frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
    except StopIteration:
        break

    frame_number=frame_meta.frame_num
    num_rects = frame_meta.num_obj_meta
    l_obj=frame_meta.obj_meta_list
    while l_obj is not None:
        try:
            # Casting l_obj.data to pyds.NvDsObjectMeta
            obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
        except StopIteration:
            break
        obj_counter[obj_meta.class_id] += 1
        try: 
            l_obj=l_obj.next
        except StopIteration:
            break

    # Acquiring a display meta object. The memory ownership remains in
    # the C code so downstream plugins can still access it. Otherwise
    # the garbage collector will claim it when this probe function exits.
    display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta)
    display_meta.num_labels = 1
    py_nvosd_text_params = display_meta.text_params[0]
    # Setting display text to be shown on screen
    # Note that the pyds module allocates a buffer for the string, and the
    # memory will not be claimed by the garbage collector.
    # Reading the display_text field here will return the C address of the
    # allocated string. Use pyds.get_string() to get the string content.
    py_nvosd_text_params.display_text = "Frame Number={} Number of Objects={} Vehicle_count={} Person_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_VEHICLE], obj_counter[PGIE_CLASS_ID_PERSON])

    # Now set the offsets where the string should appear
    py_nvosd_text_params.x_offset = 10
    py_nvosd_text_params.y_offset = 12

    # Font , font-color and font-size
    py_nvosd_text_params.font_params.font_name = "Serif"
    py_nvosd_text_params.font_params.font_size = 10
    # set(red, green, blue, alpha); set to White
    py_nvosd_text_params.font_params.font_color.set(1.0, 1.0, 1.0, 1.0)

    # Text background color
    py_nvosd_text_params.set_bg_clr = 1
    # set(red, green, blue, alpha); set to Black
    py_nvosd_text_params.text_bg_clr.set(0.0, 0.0, 0.0, 1.0)
    # Using pyds.get_string() to get display_text as string
    print(pyds.get_string(py_nvosd_text_params.display_text))
    pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta)
    try:
        l_frame=l_frame.next
    except StopIteration:
        break
		
return Gst.PadProbeReturn.OK	

def main(args):
platform_info = PlatformInfo()
# Standard GStreamer initialization
Gst.init(None)

# Create gstreamer elements
# Create Pipeline element that will form a connection of other elements
print("Creating Pipeline \n ")
pipeline = Gst.Pipeline()
if not pipeline:
    sys.stderr.write(" Unable to create Pipeline \n")

# Source element for reading from the file
print("Creating Source \n ")
source = Gst.ElementFactory.make("v4l2src", "usb-cam-source")
if not source:
    sys.stderr.write(" Unable to create Video Source \n")

caps_v4l2src = Gst.ElementFactory.make("capsfilter", "v4l2src_caps")
if not caps_v4l2src:
    sys.stderr.write(" Unable to create v4l2src capsfilter \n")
# Adding videoconvert -> nvvideoconvert as not all
# raw formats are supported by nvvideoconvert;
# Say YUYV is unsupported - which is the common
# raw format for many logi usb cams
# In case we have a camera with raw format supported in
# nvvideoconvert, GStreamer plugins' capability negotiation
# shall be intelligent enough to reduce compute by
# videoconvert doing passthrough (TODO we need to confirm this)


# videoconvert to make sure a superset of raw formats are supported
# 類似 decorder
vidconvsrc = Gst.ElementFactory.make("videoconvert", "convertor_src1")
if not vidconvsrc:
    sys.stderr.write(" Unable to create videoconvert \n")

# nvvideoconvert to convert incoming raw buffers to NVMM Mem (NvBufSurface API)
nvvidconvsrc = Gst.ElementFactory.make("nvvideoconvert", "convertor_src2")
if not nvvidconvsrc:
    sys.stderr.write(" Unable to create Nvvideoconvert \n")

caps_vidconvsrc = Gst.ElementFactory.make("capsfilter", "nvmm_caps")
if not caps_vidconvsrc:
    sys.stderr.write(" Unable to create capsfilter \n")

# Create nvstreammux instance to form batches from one or more sources.
streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer")
if not streammux:
    sys.stderr.write(" Unable to create NvStreamMux \n")

# Use nvinfer to run inferencing on decoder's output,
# behaviour of inferencing is set through config file
pgie = Gst.ElementFactory.make("nvinfer", "primary-inference")
if not pgie:
    sys.stderr.write(" Unable to create pgie \n")

# Use convertor to convert from NV12 to RGBA as required by nvosd
nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor")
if not nvvidconv:
    sys.stderr.write(" Unable to create nvvidconv \n")

# Create OSD to draw on the converted RGBA buffer
nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay")
if not nvosd:
    sys.stderr.write(" Unable to create nvosd \n")

nvvidconv_postosd = Gst.ElementFactory.make("nvvideoconvert", "convertor_postosd")
if not nvvidconv_postosd:
    sys.stderr.write(" Unable to create nvvidconv_postosd \n")

# Make the encoder
encoder = Gst.ElementFactory.make("x264enc", "encoder")

if not encoder:
    sys.stderr.write(" Unable to create encoder")
encoder.set_property('bitrate', bitrate)
if platform_info.is_integrated_gpu() and enc_type == 0:
    encoder.set_property('preset-level', 1)
    encoder.set_property('insert-sps-pps', 1)
    #encoder.set_property('bufapi-version', 1)

# Make the payload-encode video into RTP packets
if codec == "H264":
    rtppay = Gst.ElementFactory.make("rtph264pay", "rtppay")
    print("Creating H264 rtppay")
elif codec == "H265":
    rtppay = Gst.ElementFactory.make("rtph265pay", "rtppay")
    print("Creating H265 rtppay")
if not rtppay:
    sys.stderr.write(" Unable to create rtppay")

# Make the UDP sink
updsink_port_num = 5400
sink = Gst.ElementFactory.make("udpsink", "udpsink")
#sink = Gst.ElementFactory.make("nv3dsink", "nv3d-sink")
if not sink:
    sys.stderr.write(" Unable to create udpsink")

sink.set_property('host', '127.0.0.1')
sink.set_property('port', updsink_port_num)
sink.set_property('async', False)
sink.set_property('sync', 1)

print("Playing file %s " %stream_path)

caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw, framerate=30/1"))
caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM)"))

source.set_property('device', stream_path)
streammux.set_property('width', 1920)
streammux.set_property('height', 1080)
streammux.set_property('batch-size', 1)
streammux.set_property('batched-push-timeout', MUXER_BATCH_TIMEOUT_USEC)

pgie.set_property('config-file-path', "dstest1_pgie_config.txt")

print("Adding elements to Pipeline \n")
pipeline.add(source)
pipeline.add(caps_v4l2src)
pipeline.add(caps_vidconvsrc)
pipeline.add(vidconvsrc)
pipeline.add(nvvidconvsrc)
pipeline.add(nvvidconv)
pipeline.add(streammux)
pipeline.add(pgie)
pipeline.add(nvosd)
pipeline.add(nvvidconv_postosd)
pipeline.add(encoder)
pipeline.add(rtppay)
pipeline.add(sink)

# Link the elements together:
# file-source -> h264-parser -> nvh264-decoder ->
# nvinfer -> nvvidconv -> nvosd -> nvvidconv_postosd -> 
# caps -> encoder -> rtppay -> udpsink

print("Linking elements in the Pipeline \n")

source.link(caps_v4l2src)
caps_v4l2src.link(vidconvsrc)
vidconvsrc.link(nvvidconvsrc)
nvvidconvsrc.link(caps_vidconvsrc)

sinkpad = streammux.request_pad_simple("sink_0")
if not sinkpad:
    sys.stderr.write(" Unable to get the sink pad of streammux \n")

srcpad = caps_vidconvsrc.get_static_pad("src")
if not srcpad:
    sys.stderr.write(" Unable to get source pad of decoder \n")

srcpad.link(sinkpad)
streammux.link(pgie)
pgie.link(nvvidconv)
nvvidconv.link(nvosd)
nvosd.link(nvvidconv_postosd)
nvvidconv_postosd.link(encoder)
encoder.link(rtppay)
rtppay.link(sink)

# create an event loop and feed gstreamer bus mesages to it
loop = GLib.MainLoop()
bus = pipeline.get_bus()
bus.add_signal_watch()
bus.connect ("message", bus_call, loop)

# Start streaming
rtsp_port_num = 8554

server = GstRtspServer.RTSPServer.new()
server.props.service = "%d" % rtsp_port_num
server.attach(None)

factory = GstRtspServer.RTSPMediaFactory.new()
factory.set_launch( "( udpsrc name=pay0 port=%d buffer-size=524288 caps=\"application/x-rtp, media=video, clock-rate=90000, encoding-name=(string)%s, payload=96 \" )" % (updsink_port_num, codec))
factory.set_shared(True)
server.get_mount_points().add_factory("/ds-test", factory)

print("\n *** DeepStream: Launched RTSP Streaming at rtsp://localhost:%d/ds-test ***\n\n" % rtsp_port_num)

# Lets add probe to get informed of the meta data generated, we add probe to
# the sink pad of the osd element, since by that time, the buffer would have
# had got all the metadata.
osdsinkpad = nvosd.get_static_pad("sink")
if not osdsinkpad:
    sys.stderr.write(" Unable to get sink pad of nvosd \n")

osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, osd_sink_pad_buffer_probe, 0)

# start play back and listen to events
print("Starting pipeline \n")
pipeline.set_state(Gst.State.PLAYING)
try:
    loop.run()

except:
    pass
# cleanup
pipeline.set_state(Gst.State.NULL)

def parse_args():
parser = argparse.ArgumentParser(description='RTSP Output Sample Application Help ')
parser.add_argument(“-i”, “–input”,
help=“Path to input H264 elementry stream”, required=True)
parser.add_argument(“-c”, “–codec”, default=“H264”,
help=“RTSP Streaming Codec H264/H265 , default=H264”, choices=[‘H264’,‘H265’])
parser.add_argument(“-b”, “–bitrate”, default=4000000,
help=“Set the encoding bitrate “, type=int)
parser.add_argument(”-e”, “–enc_type”, default=0,
help=“0:Hardware encoder , 1:Software encoder , default=0”, choices=[0, 1], type=int)
# Check input arguments
if len(sys.argv)==1:
parser.print_help(sys.stderr)
sys.exit(1)
args = parser.parse_args()
global codec
global bitrate
global stream_path
global enc_type
codec = args.codec
bitrate = args.bitrate
stream_path = args.input # input can be a video device now, like /dev/video0
enc_type = args.enc_type
return 0

if name == ‘main’:
parse_args()
sys.exit(main(sys.argv))

謝謝 Thank you

On Ubuntu, vlc installed with apt cannot play rtsp stream.

Please use sudo snap install vlc or ffplay

Gstreamer is another option

gst-launch-1.0 -e uridecodebin uri="rtsp://xxxx" ! nv3dsink

sudo apt update
sudo apt install software-properties-common
sudo add-apt-repository universe
sudo apt update
sudo apt install ffmpeg
ffplay rtsp://127.0.0.1:8554/ds-test
It works

Thanks X 100

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.