Please provide complete information as applicable to your setup.
• Hardware Platform: Jetson Nano
• DeepStream Version: 6.0.0
• JetPack Version: 4.6.1
• TensorRT Version: 8.2.1.8
• Issue Type: questions
Hi folks,
I have some problem but I want to expand my question to more general.
I run two codes (yolo+tracker deepstream with python bindings) they have exactly the same pipeline except that the first element in the pipeline is file-source that load file.h264 and the second is udpsrc I play some Pcap (h264 videp) from my computer.
Unfortunately when I run my code with udpsrc I have very high latency and I get delay on the screen and some video artifacts.
My goal is to be able get h264 udp stream and run yolov5+tracker so I will be happy to any advice how I can improve my performance . I am new with deepstream and I hope you can help me improve my code and result I not really understand why I get different between file src and udp src.
def main(args):
# Check input arguments
args = ['python3 ArielTracker.py', '/opt/nvidia/deepstream/deepstream/samples/streams/gvulot_2.h264']
if (len(args) < 2):
sys.stderr.write("usage: %s <h264_elementary_stream> [0/1]\n" % args[0])
sys.exit(1)
for i in range(0, len(args) - 1):
fps_streams["stream{0}".format(i)] = GETFPS(i)
number_sources = len(args) - 1
# Standard GStreamer initialization
if (len(args) == 3):
past_tracking_meta[0] = int(args[2])
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("filesrc", "file-source")
source = Gst.ElementFactory.make("udpsrc", "UDP-source")
source.set_property("port", PORT)
source.set_property("multicast-group", MULTI_GROUP)
if not source:
sys.stderr.write(" Unable to create Source \n")
# Since the data format in the input file is elementary h264 stream,
# we need a h264parser
print("Creating H264Parser \n")
h264parser = Gst.ElementFactory.make("h264parse", "h264-parser")
# h264parser = Gst.ElementFactory.make("mpeg4videoparse", "mpeg4-parser")
if not h264parser:
sys.stderr.write(" Unable to create h264 parser \n")
# Use nvdec_h264 for hardware accelerated decode on GPU
print("Creating Decoder \n")
decoder = Gst.ElementFactory.make("nvv4l2decoder", "nvv4l2-decoder")
decoder.set_property('enable-max-performance', 1)
if not decoder:
sys.stderr.write(" Unable to create Nvv4l2 Decoder \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")
tracker = Gst.ElementFactory.make("nvtracker", "tracker")
if not tracker:
sys.stderr.write(" Unable to create tracker \n")
sgie1 = Gst.ElementFactory.make("nvinfer", "secondary1-nvinference-engine")
if not sgie1:
sys.stderr.write(" Unable to make sgie1 \n")
sgie2 = Gst.ElementFactory.make("nvinfer", "secondary2-nvinference-engine")
if not sgie2:
sys.stderr.write(" Unable to make sgie2 \n")
sgie3 = Gst.ElementFactory.make("nvinfer", "secondary3-nvinference-engine")
if not sgie3:
sys.stderr.write(" Unable to make sgie3 \n")
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")
# Finally render the osd output
if is_aarch64():
# transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform")
transform = Gst.ElementFactory.make("queue", "queue")
print("Creating EGLSink \n")
# sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
sink = Gst.ElementFactory.make("nvoverlaysink", "nvvideo-renderer")
sink.set_property('sync', 0)
if not sink:
sys.stderr.write(" Unable to create egl sink \n")
print("Playing file %s " % args[1])
# source.set_property('location', args[1])
streammux.set_property('width', 640)
streammux.set_property('height', 640)
streammux.set_property('batch-size', 1)
streammux.set_property('batched-push-timeout', 4000000)
# Set properties of pgie
pgie.set_property('config-file-path', "config_infer_primary_yoloV5.txt")
# pgie.set_property('config-file-path', "config_infer_primary_yoloV7.txt")
# Set properties of tracker
config = configparser.ConfigParser()
config.read('tracker_config.txt')
config.sections()
for key in config['tracker']:
if key == 'tracker-width':
tracker_width = config.getint('tracker', key)
tracker.set_property('tracker-width', tracker_width)
if key == 'tracker-height':
tracker_height = config.getint('tracker', key)
tracker.set_property('tracker-height', tracker_height)
if key == 'gpu-id':
tracker_gpu_id = config.getint('tracker', key)
tracker.set_property('gpu_id', tracker_gpu_id)
if key == 'll-lib-file':
tracker_ll_lib_file = config.get('tracker', key)
tracker.set_property('ll-lib-file', tracker_ll_lib_file)
if key == 'll-config-file':
tracker_ll_config_file = config.get('tracker', key)
tracker.set_property('ll-config-file', tracker_ll_config_file)
if key == 'enable-batch-process':
tracker_enable_batch_process = config.getint('tracker', key)
tracker.set_property('enable_batch_process', tracker_enable_batch_process)
if key == 'enable-past-frame':
tracker_enable_past_frame = config.getint('tracker', key)
tracker.set_property('enable_past_frame', tracker_enable_past_frame)
if key == 'compute-hw':
tracker_enable_compute_hw = config.getint('tracker', key)
tracker.set_property('compute-hw', tracker_enable_compute_hw)
print("Adding elements to Pipeline \n")
pipeline.add(source)
pipeline.add(h264parser)
pipeline.add(decoder)
pipeline.add(streammux)
pipeline.add(pgie)
pipeline.add(tracker)
pipeline.add(nvvidconv)
pipeline.add(nvosd)
pipeline.add(sink)
if is_aarch64():
pipeline.add(transform)
# we link the elements together
# file-source -> h264-parser -> nvh264-decoder ->
# nvinfer -> nvvidconv -> nvosd -> video-renderer
print("Linking elements in the Pipeline \n")
source.link(h264parser)
h264parser.link(decoder)
sinkpad = streammux.get_request_pad("sink_0")
if not sinkpad:
sys.stderr.write(" Unable to get the sink pad of streammux \n")
srcpad = decoder.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(tracker)
tracker.link(nvvidconv)
nvvidconv.link(nvosd)
if is_aarch64():
nvosd.link(transform)
transform.link(sink)
else:
nvosd.link(sink)
# create and 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)
# 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)
print("Starting pipeline \n")
# start play back and listed to events
pipeline.set_state(Gst.State.PLAYING)
try:
loop.run()
except:
pass
# cleanup
pipeline.set_state(Gst.State.NULL)
if __name__ == '__main__':
sys.exit(main(sys.argv))
config_infer_primary_yoloV5.txt (729 Bytes)
