lweingart/deepstream-test1-no-osd.py Secret

## deepstream-test1-no-osd.py
#!/usr/bin/env python3

################################################################################
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################

import sys
sys.path.append('../')
import gi
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst
from common.is_aarch_64 import is_aarch64
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


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.glist_get_nvds_frame_meta()
            # 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.glist_get_nvds_frame_meta(l_frame.data)
            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.glist_get_nvds_object_meta(l_obj.data)
                obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
            except StopIteration:
                break
            obj_counter[obj_meta.class_id] += 1
            obj_meta.rect_params.border_color.set(0.0, 0.0, 1.0, 0.0)
            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):
    # Check input arguments
    if len(args) != 2:
        sys.stderr.write("usage: %s <media file or uri>\n" % args[0])
        sys.exit(1)

    # Standard GStreamer initialization
    GObject.threads_init()
    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")
    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")
    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")
    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")

    # 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")

    # Finally render the osd output
    if is_aarch64():
        transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform")

    print("Creating EGLSink \n")
    sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
    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', 1920)
    streammux.set_property('height', 1080)
    streammux.set_property('batch-size', 1)
    streammux.set_property('batched-push-timeout', 4000000)
    pgie.set_property('config-file-path', "dstest1_pgie_config.txt")

    print("Adding elements to Pipeline \n")
    pipeline.add(source)
    pipeline.add(h264parser)
    pipeline.add(decoder)
    pipeline.add(streammux)
    pipeline.add(pgie)
    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(nvvidconv)
    #nvvidconv.link(nvosd)
    if is_aarch64():
        #nvosd.link(transform)
        transform.link(sink)
    #else:
        #nvosd.link(sink)

    # create an event loop and feed gstreamer bus mesages to it
    loop = GObject.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)

    # 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)

if __name__ == '__main__':
    sys.exit(main(sys.argv))

## gistfile1.txt
Creating Pipeline

Creating Source

Creating H264Parser

Creating Decoder

Creating EGLSink

Playing file /opt/nvidia/deepstream/deepstream-5.1/samples/streams/sample_720p.h264
Adding elements to Pipeline

Linking elements in the Pipeline

Starting pipeline


Using winsys: x11
Opening in BLOCKING MODE
Opening in BLOCKING MODE
0:00:04.768024748 14033     0x31067630 INFO                 nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1702> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
INFO: [Implicit Engine Info]: layers num: 3
0   INPUT  kFLOAT input_1         3x368x640
1   OUTPUT kFLOAT conv2d_bbox     16x23x40
2   OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40

0:00:04.768249070 14033     0x31067630 INFO                 nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1806> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
0:00:04.778853007 14033     0x31067630 INFO                 nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary-inference> [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
0:00:04.959465151 14033     0x5f90dc00 WARN                 nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-inference> error: Internal data stream error.
0:00:04.959852258 14033     0x5f90dc00 WARN                 nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-inference> error: streaming stopped, reason not-linked (-1)
Error: gst-stream-error-quark: Internal data stream error. (1): /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1984): gst_nvinfer_output_loop (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
streaming stopped, reason not-linked (-1)
	#!/usr/bin/env python3

	################################################################################
	# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
	#
	# Permission is hereby granted, free of charge, to any person obtaining a
	# copy of this software and associated documentation files (the "Software"),
	# to deal in the Software without restriction, including without limitation
	# the rights to use, copy, modify, merge, publish, distribute, sublicense,
	# and/or sell copies of the Software, and to permit persons to whom the
	# Software is furnished to do so, subject to the following conditions:
	#
	# The above copyright notice and this permission notice shall be included in
	# all copies or substantial portions of the Software.
	#
	# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
	# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
	# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
	# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
	# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
	# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
	# DEALINGS IN THE SOFTWARE.
	################################################################################

	import sys
	sys.path.append('../')
	import gi
	gi.require_version('Gst', '1.0')
	from gi.repository import GObject, Gst
	from common.is_aarch_64 import is_aarch64
	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


	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.glist_get_nvds_frame_meta()
	# 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.glist_get_nvds_frame_meta(l_frame.data)
	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.glist_get_nvds_object_meta(l_obj.data)
	obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
	except StopIteration:
	break
	obj_counter[obj_meta.class_id] += 1
	obj_meta.rect_params.border_color.set(0.0, 0.0, 1.0, 0.0)
	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):
	# Check input arguments
	if len(args) != 2:
	sys.stderr.write("usage: %s <media file or uri>\n" % args[0])
	sys.exit(1)

	# Standard GStreamer initialization
	GObject.threads_init()
	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")
	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")
	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")
	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")

	# 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")

	# Finally render the osd output
	if is_aarch64():
	transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform")

	print("Creating EGLSink \n")
	sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
	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', 1920)
	streammux.set_property('height', 1080)
	streammux.set_property('batch-size', 1)
	streammux.set_property('batched-push-timeout', 4000000)
	pgie.set_property('config-file-path', "dstest1_pgie_config.txt")

	print("Adding elements to Pipeline \n")
	pipeline.add(source)
	pipeline.add(h264parser)
	pipeline.add(decoder)
	pipeline.add(streammux)
	pipeline.add(pgie)
	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(nvvidconv)
	#nvvidconv.link(nvosd)
	if is_aarch64():
	#nvosd.link(transform)
	transform.link(sink)
	#else:
	#nvosd.link(sink)

	# create an event loop and feed gstreamer bus mesages to it
	loop = GObject.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)

	# 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)

	if __name__ == '__main__':
	sys.exit(main(sys.argv))
	Creating Pipeline

	Creating Source

	Creating H264Parser

	Creating Decoder

	Creating EGLSink

	Playing file /opt/nvidia/deepstream/deepstream-5.1/samples/streams/sample_720p.h264
	Adding elements to Pipeline

	Linking elements in the Pipeline

	Starting pipeline


	Using winsys: x11
	Opening in BLOCKING MODE
	Opening in BLOCKING MODE
	0:00:04.768024748 14033 0x31067630 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1702> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
	INFO: [Implicit Engine Info]: layers num: 3
	0 INPUT kFLOAT input_1 3x368x640
	1 OUTPUT kFLOAT conv2d_bbox 16x23x40
	2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40

	0:00:04.768249070 14033 0x31067630 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1806> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
	0:00:04.778853007 14033 0x31067630 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary-inference> [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully
	NvMMLiteOpen : Block : BlockType = 261
	NVMEDIA: Reading vendor.tegra.display-size : status: 6
	NvMMLiteBlockCreate : Block : BlockType = 261
	0:00:04.959465151 14033 0x5f90dc00 WARN nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-inference> error: Internal data stream error.
	0:00:04.959852258 14033 0x5f90dc00 WARN nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-inference> error: streaming stopped, reason not-linked (-1)
	Error: gst-stream-error-quark: Internal data stream error. (1): /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1984): gst_nvinfer_output_loop (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
	streaming stopped, reason not-linked (-1)