Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
GPU: A100
CUDA Version: 12.6
• DeepStream Version: 7.0
• TensorRT Version: 10.7.0.23-1+cuda12.6
• NVIDIA GPU Driver Version (valid for GPU only): 560.35.05
• Issue Type: questions
I am trying to reduce the FPS of incoming RTSP streams to my deepstream pipeline. I am using Gst-nvstreammux-new. I tried to set properties like overall-max-fps-n=8, overall-max-fps-d=1, sync-inputs=1. But still the FPS is not decreased. I think I am missing out something here as I am new to this framework.
The actual FPS are between 15 and I want to reduce it to 5.
I have attached the main code of building the pipeline.
def main(args, requested_pgie=None, config=None, disable_probe=False, op_ports=[554]):
global perf_data
perf_data = PERF_DATA(len(args))
number_sources=len(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()
is_live = False
if not pipeline:
sys.stderr.write(" Unable to create Pipeline \n")
print("Creating streamux \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")
pipeline.add(streammux)
for i in range(number_sources):
print("Creating source_bin ",i," \n ")
uri_name=args[i]
if uri_name.find("rtsp://") == 0 :
is_live = True
source_bin=create_source_bin(i, uri_name)
if not source_bin:
sys.stderr.write("Unable to create source bin \n")
pipeline.add(source_bin)
padname="sink_%u" %i
sinkpad= streammux.request_pad_simple(padname)
if not sinkpad:
sys.stderr.write("Unable to create sink pad bin \n")
srcpad=source_bin.get_static_pad("src")
if not srcpad:
sys.stderr.write("Unable to create src pad bin \n")
srcpad.link(sinkpad)
queue1=Gst.ElementFactory.make("queue","queue1")
queue2=Gst.ElementFactory.make("queue","queue2")
queue3=Gst.ElementFactory.make("queue","queue3")
queue4=Gst.ElementFactory.make("queue","queue4")
queue5=Gst.ElementFactory.make("queue","queue5")
queue6=Gst.ElementFactory.make("queue","queue6")
pipeline.add(queue1)
pipeline.add(queue2)
pipeline.add(queue3)
pipeline.add(queue4)
pipeline.add(queue5)
pipeline.add(queue6)
nvdslogger = None
print("Creating Pgie \n ")
if requested_pgie != None and (requested_pgie == 'nvinferserver' or requested_pgie == 'nvinferserver-grpc') :
pgie = Gst.ElementFactory.make("nvinferserver", "primary-inference")
elif requested_pgie != None and requested_pgie == 'nvinfer':
pgie = Gst.ElementFactory.make("nvinfer", "primary-inference")
else:
pgie = Gst.ElementFactory.make("nvinfer", "primary-inference")
if not pgie:
sys.stderr.write(" Unable to create pgie : %s\n" % requested_pgie)
if disable_probe:
# Use nvdslogger for perf measurement instead of probe function
print ("Creating nvdslogger \n")
nvdslogger = Gst.ElementFactory.make("nvdslogger", "nvdslogger")
print("Creating tracker \n ")
tracker = Gst.ElementFactory.make("nvtracker", "object-tracker")
if not tracker:
sys.stderr.write(" Unable to create tracker \n")
tracker.set_property("tracker-width", 640)
tracker.set_property("tracker-height", 384)
tracker.set_property("gpu-id", 0)
tracker.set_property("ll-lib-file", "../../../../lib/libnvds_nvmultiobjecttracker.so")
tracker.set_property("ll-config-file", "../../../../samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml")
tracker.set_property("compute-hw", 1)
tracker.set_property("display-tracking-id", 1)
print("Creating tiler \n ")
tiler=Gst.ElementFactory.make("nvmultistreamtiler", "nvtiler")
if not tiler:
sys.stderr.write(" Unable to create tiler \n")
print("Creating nvvidconv \n ")
nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor")
if not nvvidconv:
sys.stderr.write(" Unable to create nvvidconv \n")
print("Creating nvosd \n ")
nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay")
if not nvosd:
sys.stderr.write(" Unable to create nvosd \n")
nvosd.set_property('process-mode',OSD_PROCESS_MODE)
nvosd.set_property('display-text',OSD_DISPLAY_TEXT)
if file_loop:
if platform_info.is_integrated_gpu():
pass
# Set nvbuf-memory-type=4 for integrated gpu for file-loop (nvurisrcbin case)
# streammux.set_property('nvbuf-memory-type', 4)
else:
pass
# Set nvbuf-memory-type=2 for x86 for file-loop (nvurisrcbin case)
# streammux.set_property('nvbuf-memory-type', 2)
if no_display:
print("Creating Fakesink \n")
sink = Gst.ElementFactory.make("fakesink", "fakesink")
sink.set_property('enable-last-sample', 0)
sink.set_property('sync', 0)
else:
sink = Gst.ElementFactory.make("nvrtspoutsinkbin", "nvrtspoutsinkbin")
sink.set_property('codec','h264')
sink.set_property('enc-type',1)
sink.set_property('rtsp-mount-point',f"/{STREAM_IDS[0]}")
sink.set_property('rtsp-port', int(op_ports[0]))
sink.set_property('bitrate',4000000)
if not sink:
sys.stderr.write(" Unable to create sink element \n")
if is_live:
print("At least one of the sources is live")
# streammux.set_property('live-source', 1)
# streammux.set_property('width', 1920)
# streammux.set_property('height', 1080)
streammux.set_property('batch-size', number_sources)
streammux.set_property('batched-push-timeout', MUXER_BATCH_TIMEOUT_USEC)
streammux.set_property('config-file-path', 'nvstreamux_fps.txt')
if requested_pgie == "nvinferserver" and config != None:
pgie.set_property('config-file-path', config)
elif requested_pgie == "nvinferserver-grpc" and config != None:
pgie.set_property('config-file-path', config)
elif requested_pgie == "nvinfer" and config != None:
pgie.set_property('config-file-path', config)
else:
pgie.set_property('config-file-path', "dstest3_pgie_config.txt")
pgie_batch_size=pgie.get_property("batch-size")
if pgie_batch_size != number_sources:
print("WARNING: Overriding infer-config batch-size",pgie_batch_size," with number of sources ", number_sources," \n")
pgie.set_property("batch-size",number_sources)
# pgie.set_property("operate-on-class-ids", f"{PGIE_CLASS_ID_PERSON}")
pgie.set_property("filter-out-class-ids", f"1,2,3")
tiler_rows=int(math.sqrt(number_sources))
tiler_columns=int(math.ceil((1.0*number_sources)/tiler_rows))
tiler.set_property("rows",tiler_rows)
tiler.set_property("columns",tiler_columns)
tiler.set_property("width", TILED_OUTPUT_WIDTH)
tiler.set_property("height", TILED_OUTPUT_HEIGHT)
if platform_info.is_integrated_gpu():
tiler.set_property("compute-hw", 2)
else:
tiler.set_property("compute-hw", 1)
sink.set_property("qos",0)
print("Adding elements to Pipeline \n")
pipeline.add(pgie)
pipeline.add(tracker)
if nvdslogger:
pipeline.add(nvdslogger)
pipeline.add(tiler)
pipeline.add(nvvidconv)
pipeline.add(nvosd)
pipeline.add(sink)
print("Linking elements in the Pipeline \n")
streammux.link(queue1)
queue1.link(pgie)
pgie.link(queue2)
queue2.link(tracker)
tracker.link(queue3)
if nvdslogger:
queue3.link(nvdslogger)
nvdslogger.link(tiler)
else:
queue3.link(tiler)
tiler.link(queue4)
queue4.link(nvvidconv)
nvvidconv.link(queue5)
queue5.link(nvosd)
nvosd.link(queue6)
queue6.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)
pgie_src_pad = pgie.get_static_pad("src")
if not pgie_src_pad:
sys.stderr.write(" Unable to get src pad \n")
else:
if not disable_probe:
pgie_src_pad.add_probe(Gst.PadProbeType.BUFFER, pgie_src_pad_buffer_probe, 0)
# perf callback function to print fps every 5 sec
GLib.timeout_add(5000, perf_data.perf_print_callback)
tracker_source_pad = tracker.get_static_pad("src")
if not tracker_source_pad:
sys.stderr.write(" Unable to get tracker src pad \n")
else:
if not disable_probe:
tracker_source_pad.add_probe(Gst.PadProbeType.BUFFER, tracker_probe)
nvosd_sink_pad = nvosd.get_static_pad("sink")
if not nvosd_sink_pad:
sys.stderr.write(" Unable to get sink pad \n")
else:
if not disable_probe:
nvosd_sink_pad.add_probe(Gst.PadProbeType.BUFFER, nvosd_sink_pad_buffer_probe, None)
# Enable latency measurement via probe if environment variable NVDS_ENABLE_LATENCY_MEASUREMENT=1 is set.
# To enable component level latency measurement, please set environment variable
# NVDS_ENABLE_COMPONENT_LATENCY_MEASUREMENT=1 in addition to the above.
if environ.get('NVDS_ENABLE_LATENCY_MEASUREMENT') == '1':
print ("Pipeline Latency Measurement enabled!\nPlease set env var NVDS_ENABLE_COMPONENT_LATENCY_MEASUREMENT=1 for Component Latency Measurement")
global measure_latency
measure_latency = True
# List the sources
print("Now playing...")
for i, source in enumerate(args):
print(i, ": ", source)
print("Starting pipeline \n")
# start play back and listed to events
pipeline.set_state(Gst.State.PLAYING)
try:
loop.run()
except:
pass
# cleanup
print("Exiting app\n")
pipeline.set_state(Gst.State.NULL)