deepstream-yolo.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
import configparser
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst
from gi.repository import GLib
from ctypes import *
import time
import sys
import math
import platform
from common.is_aarch_64 import is_aarch64
from common.bus_call import bus_call
from common.FPS import GETFPS

import pyds

fps_streams={}

MAX_DISPLAY_LEN=64
PGIE_CLASS_ID_TOOTHBRUSH = 80
PGIE_CLASS_ID_HAIR_DRYER = 79
PGIE_CLASS_ID_TEDDY_BEAR = 78
PGIE_CLASS_ID_SCISSORS = 77
PGIE_CLASS_ID_VASE = 76
PGIE_CLASS_ID_CLOCK = 75
PGIE_CLASS_ID_BOOK = 74
PGIE_CLASS_ID_REFRIGERATOR = 73
PGIE_CLASS_ID_SINK = 72
PGIE_CLASS_ID_TOASTER = 71
PGIE_CLASS_ID_OVEN = 70
PGIE_CLASS_ID_MICROWAVE = 69
PGIE_CLASS_ID_CELL_PHONE = 68
PGIE_CLASS_ID_KEYBOARD = 67
PGIE_CLASS_ID_REMOTE = 66
PGIE_CLASS_ID_MOUSE = 65
PGIE_CLASS_ID_LAPTOP = 64
PGIE_CLASS_ID_TVMONITOR = 63
PGIE_CLASS_ID_TOILET = 62
PGIE_CLASS_ID_DININGTABLE= 61
PGIE_CLASS_ID_BED = 60
PGIE_CLASS_ID_POTTEDPLANT = 59
PGIE_CLASS_ID_SOFA = 58
PGIE_CLASS_ID_CHAIR = 57
PGIE_CLASS_ID_CAKE = 56
PGIE_CLASS_ID_DONUT = 55
PGIE_CLASS_ID_PIZZA = 54
PGIE_CLASS_ID_HOT_DOG = 53
PGIE_CLASS_ID_CARROT = 52
PGIE_CLASS_ID_BROCCOLI = 51
PGIE_CLASS_ID_ORANGE = 50
PGIE_CLASS_ID_SANDWICH = 49
PGIE_CLASS_ID_APPLE = 48
PGIE_CLASS_ID_BANANA = 47
PGIE_CLASS_ID_BOWL = 46
PGIE_CLASS_ID_SPOON = 45
PGIE_CLASS_ID_KNIFE = 44
PGIE_CLASS_ID_FORK = 43
PGIE_CLASS_ID_CUP = 42
PGIE_CLASS_ID_WINE_GLASS = 41
PGIE_CLASS_ID_BOTTLE = 40
PGIE_CLASS_ID_TENNIS_RACKET = 39
PGIE_CLASS_ID_SURFBOARD = 38
PGIE_CLASS_ID_SKATEBOARD = 37
PGIE_CLASS_ID_BASEBALL_GLOVE = 36
PGIE_CLASS_ID_BASEBALL_BAT = 35
PGIE_CLASS_ID_KITE = 34
PGIE_CLASS_ID_SPORTS_BALL = 33
PGIE_CLASS_ID_SNOWBOARD = 32
PGIE_CLASS_ID_SKIS = 31
PGIE_CLASS_ID_FRISBEE = 30
PGIE_CLASS_ID_SUITCASE = 29
PGIE_CLASS_ID_TIE = 28
PGIE_CLASS_ID_HANDBAG = 27
PGIE_CLASS_ID_UMBRELLA = 26
PGIE_CLASS_ID_BACKPACK = 25
PGIE_CLASS_ID_UMBRELLA = 24
PGIE_CLASS_ID_GIRAFFE = 23
PGIE_CLASS_ID_ZEBRA = 22
PGIE_CLASS_ID_BEAR = 21
PGIE_CLASS_ID_ELEPHANT = 20
PGIE_CLASS_ID_COW = 19
PGIE_CLASS_ID_SHEEP = 18
PGIE_CLASS_ID_HORSE = 17
PGIE_CLASS_ID_DOG = 16
PGIE_CLASS_ID_CAT = 15
PGIE_CLASS_ID_BIRD = 14
PGIE_CLASS_ID_BENCH = 13
PGIE_CLASS_ID_PARKING_METER = 12
PGIE_CLASS_ID_STOP_SIGN = 11
PGIE_CLASS_ID_FIRE_HYDRANT = 10
PGIE_CLASS_ID_TRAFFIC_LIGHT = 9
PGIE_CLASS_ID_BOAT = 8
PGIE_CLASS_ID_TRUCK = 7
PGIE_CLASS_ID_TRAIN = 6
PGIE_CLASS_ID_BUS = 5
PGIE_CLASS_ID_AEROPLANE = 4
PGIE_CLASS_ID_MOTORBIKE = 3
PGIE_CLASS_ID_VEHICLE = 2
PGIE_CLASS_ID_BICYCLE = 1
PGIE_CLASS_ID_PERSON = 0
MUXER_OUTPUT_WIDTH=1920
MUXER_OUTPUT_HEIGHT=1080
MUXER_BATCH_TIMEOUT_USEC=4000000
TILED_OUTPUT_WIDTH=1280
TILED_OUTPUT_HEIGHT=720
GST_CAPS_FEATURES_NVMM="memory:NVMM"
OSD_PROCESS_MODE= 0
OSD_DISPLAY_TEXT= 1
pgie_classes_str= ["Toothbrush", "Hair dryer", "Teddy bear","Scissors","Vase", "Clock", "Book","Refrigerator", "Sink", "Toaster","Oven","Microwave", "Cell phone", "Keyboard","Remote", "Mouse", "Laptop","Tvmonitor","Toilet", "Diningtable", "Bed","Pottedplant", "Sofa", "Chair","Cake","Donut", "Pizza", "Hot dog","Carrot", "Broccli", "Orange","Sandwich","Apple", "Banana", "Bowl","Spoon", "Knife", "Fork","Cup","Wine Glass", "Bottle", "Tennis racket","Surfboard", "Skateboard", "Baseball glove","Baseball bat","Kite", "Sports ball", "Snowboard","Skis", "Frisbee", "Suitcase","Tie","Handbag", "Umbrella", "Backpack","Giraffe", "Zebra", "Bear","Elephant","Cow", "Sheep", "Horse","Dog", "Cat", "Bird","Bench","Parking meter", "Stop sign", "Fire hydrant","Traffic light", "Boat", "Truck","Train","Bus", "Areoplane", "Motorbike","Car", "Bicycle", "Person"]

# tiler_sink_pad_buffer_probe  will extract metadata received on OSD sink pad
# and update params for drawing rectangle, object information etc.
def tiler_src_pad_buffer_probe(pad,info,u_data):
    frame_number=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

        '''
        print("Frame Number is ", frame_meta.frame_num)
        print("Source id is ", frame_meta.source_id)
        print("Batch id is ", frame_meta.batch_id)
        print("Source Frame Width ", frame_meta.source_frame_width)
        print("Source Frame Height ", frame_meta.source_frame_height)
        print("Num object meta ", frame_meta.num_obj_meta)
        '''
        frame_number=frame_meta.frame_num
        l_obj=frame_meta.obj_meta_list
        num_rects = frame_meta.num_obj_meta
        obj_counter = {
        PGIE_CLASS_ID_TOOTHBRUSH:0,
        PGIE_CLASS_ID_HAIR_DRYER:0,
        PGIE_CLASS_ID_TEDDY_BEAR:0,
        PGIE_CLASS_ID_SCISSORS:0,
        PGIE_CLASS_ID_VASE:0,
        PGIE_CLASS_ID_CLOCK:0,
        PGIE_CLASS_ID_BOOK:0,
        PGIE_CLASS_ID_REFRIGERATOR:0,
        PGIE_CLASS_ID_SINK:0,
        PGIE_CLASS_ID_TOASTER:0,
        PGIE_CLASS_ID_OVEN:0,
        PGIE_CLASS_ID_MICROWAVE:0,
        PGIE_CLASS_ID_CELL_PHONE:0,
        PGIE_CLASS_ID_KEYBOARD:0,
        PGIE_CLASS_ID_REMOTE:0,
        PGIE_CLASS_ID_MOUSE:0,
        PGIE_CLASS_ID_LAPTOP:0,
        PGIE_CLASS_ID_TVMONITOR:0,
        PGIE_CLASS_ID_TOILET:0,
        PGIE_CLASS_ID_DININGTABLE:0,
        PGIE_CLASS_ID_BED:0,
        PGIE_CLASS_ID_POTTEDPLANT:0,
        PGIE_CLASS_ID_SOFA:0,
        PGIE_CLASS_ID_CHAIR:0,
        PGIE_CLASS_ID_CAKE:0,
        PGIE_CLASS_ID_DONUT:0,
        PGIE_CLASS_ID_PIZZA:0,
        PGIE_CLASS_ID_HOT_DOG:0,
        PGIE_CLASS_ID_CARROT:0,
        PGIE_CLASS_ID_BROCCOLI:0,
        PGIE_CLASS_ID_ORANGE:0,
        PGIE_CLASS_ID_SANDWICH:0,
        PGIE_CLASS_ID_APPLE:0,
        PGIE_CLASS_ID_BANANA:0,
        PGIE_CLASS_ID_BOWL:0,
        PGIE_CLASS_ID_SPOON:0,
        PGIE_CLASS_ID_KNIFE:0,
        PGIE_CLASS_ID_FORK:0,
        PGIE_CLASS_ID_CUP:0,
        PGIE_CLASS_ID_WINE_GLASS:0,
        PGIE_CLASS_ID_BOTTLE:0,
        PGIE_CLASS_ID_TENNIS_RACKET:0,
        PGIE_CLASS_ID_SURFBOARD:0,
        PGIE_CLASS_ID_SKATEBOARD:0,
        PGIE_CLASS_ID_BASEBALL_GLOVE:0,
        PGIE_CLASS_ID_BASEBALL_BAT:0,
        PGIE_CLASS_ID_KITE:0,
        PGIE_CLASS_ID_SPORTS_BALL:0,
        PGIE_CLASS_ID_SNOWBOARD:0,
        PGIE_CLASS_ID_SKIS:0,
        PGIE_CLASS_ID_FRISBEE:0,
        PGIE_CLASS_ID_SUITCASE:0,
        PGIE_CLASS_ID_TIE:0,
        PGIE_CLASS_ID_HANDBAG:0,
        PGIE_CLASS_ID_UMBRELLA:0,
        PGIE_CLASS_ID_BACKPACK:0,
        PGIE_CLASS_ID_UMBRELLA:0,
        PGIE_CLASS_ID_GIRAFFE:0,
        PGIE_CLASS_ID_ZEBRA:0,
        PGIE_CLASS_ID_BEAR:0,
        PGIE_CLASS_ID_ELEPHANT:0,
        PGIE_CLASS_ID_COW:0,
        PGIE_CLASS_ID_SHEEP:0,
        PGIE_CLASS_ID_HORSE:0,
        PGIE_CLASS_ID_DOG:0,
        PGIE_CLASS_ID_CAT:0,
        PGIE_CLASS_ID_BIRD:0,
        PGIE_CLASS_ID_BENCH:0,
        PGIE_CLASS_ID_PARKING_METER:0,
        PGIE_CLASS_ID_STOP_SIGN:0,
        PGIE_CLASS_ID_FIRE_HYDRANT:0,
        PGIE_CLASS_ID_TRAFFIC_LIGHT:0,
        PGIE_CLASS_ID_BOAT:0,
        PGIE_CLASS_ID_TRUCK:0,
        PGIE_CLASS_ID_TRAIN:0,
        PGIE_CLASS_ID_BUS:0,
        PGIE_CLASS_ID_AEROPLANE:0,
        PGIE_CLASS_ID_MOTORBIKE:0,
        PGIE_CLASS_ID_VEHICLE:0,
        PGIE_CLASS_ID_BICYCLE:0,
        PGIE_CLASS_ID_PERSON:0
        }
        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={} Bird_count={} Person_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_BIRD], 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)
        fps_streams["stream{0}".format(frame_meta.pad_index)].get_fps()
        try:
            l_frame=l_frame.next
        except StopIteration:
            break

    return Gst.PadProbeReturn.OK



def cb_newpad(decodebin, decoder_src_pad,data):
    print("In cb_newpad\n")
    caps=decoder_src_pad.get_current_caps()
    gststruct=caps.get_structure(0)
    gstname=gststruct.get_name()
    source_bin=data
    features=caps.get_features(0)

    # Need to check if the pad created by the decodebin is for video and not
    # audio.
    print("gstname=",gstname)
    if(gstname.find("video")!=-1):
        # Link the decodebin pad only if decodebin has picked nvidia
        # decoder plugin nvdec_*. We do this by checking if the pad caps contain
        # NVMM memory features.
        print("features=",features)
        if features.contains("memory:NVMM"):
            # Get the source bin ghost pad
            bin_ghost_pad=source_bin.get_static_pad("src")
            if not bin_ghost_pad.set_target(decoder_src_pad):
                sys.stderr.write("Failed to link decoder src pad to source bin ghost pad\n")
        else:
            sys.stderr.write(" Error: Decodebin did not pick nvidia decoder plugin.\n")

def decodebin_child_added(child_proxy,Object,name,user_data):
    print("Decodebin child added:", name, "\n")
    if(name.find("decodebin") != -1):
        Object.connect("child-added",decodebin_child_added,user_data)   
    if(is_aarch64() and name.find("nvv4l2decoder") != -1):
        print("Seting bufapi_version\n")
        Object.set_property("bufapi-version",True)

def create_source_bin(index,uri):
    print("Creating source bin")

    # Create a source GstBin to abstract this bin's content from the rest of the
    # pipeline
    bin_name="source-bin-%02d" %index
    print(bin_name)
    nbin=Gst.Bin.new(bin_name)
    if not nbin:
        sys.stderr.write(" Unable to create source bin \n")

    # Source element for reading from the uri.
    # We will use decodebin and let it figure out the container format of the
    # stream and the codec and plug the appropriate demux and decode plugins.
    uri_decode_bin=Gst.ElementFactory.make("uridecodebin", "uri-decode-bin")
    if not uri_decode_bin:
        sys.stderr.write(" Unable to create uri decode bin \n")
    # We set the input uri to the source element
    uri_decode_bin.set_property("uri",uri)
    # Connect to the "pad-added" signal of the decodebin which generates a
    # callback once a new pad for raw data has beed created by the decodebin
    uri_decode_bin.connect("pad-added",cb_newpad,nbin)
    uri_decode_bin.connect("child-added",decodebin_child_added,nbin)

    # We need to create a ghost pad for the source bin which will act as a proxy
    # for the video decoder src pad. The ghost pad will not have a target right
    # now. Once the decode bin creates the video decoder and generates the
    # cb_newpad callback, we will set the ghost pad target to the video decoder
    # src pad.
    Gst.Bin.add(nbin,uri_decode_bin)
    bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",Gst.PadDirection.SRC))
    if not bin_pad:
        sys.stderr.write(" Failed to add ghost pad in source bin \n")
        return None
    return nbin

def main(args):
    # Check input arguments
    if len(args) < 2:
        sys.stderr.write("usage: %s <uri1> [uri2] ... [uriN]\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
    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()
    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+1]
        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.get_request_pad(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")
    pipeline.add(queue1)
    pipeline.add(queue2)
    pipeline.add(queue3)
    pipeline.add(queue4)
    pipeline.add(queue5)
    print("Creating Pgie \n ")
    pgie = Gst.ElementFactory.make("nvinfer", "primary-inference")
    if not pgie:
        sys.stderr.write(" Unable to create pgie \n")
    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(is_aarch64()):
        print("Creating transform \n ")
        transform=Gst.ElementFactory.make("nvegltransform", "nvegl-transform")
        if not transform:
            sys.stderr.write(" Unable to create transform \n")

    print("Creating EGLSink \n")
    sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
    if not sink:
        sys.stderr.write(" Unable to create egl sink \n")

    if is_live:
        print("Atleast 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', 4000000)

    #Set properties of pgie
    pgie.set_property('config-file-path', "../DeepStream-Configs/DeepStream-Yolo/config_infer_primary_yoloV5.txt")
    # pgie.set_property('config-file-path', "../DeepStream-Configs/DeepStream-Yolo/config_infer_primary_yoloV8.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)
    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)
    sink.set_property("qos",0)

    print("Adding elements to Pipeline \n")
    pipeline.add(pgie)
    pipeline.add(tiler)
    pipeline.add(nvvidconv)
    pipeline.add(nvosd)
    if is_aarch64():
        pipeline.add(transform)
    pipeline.add(sink)

    print("Linking elements in the Pipeline \n")
    streammux.link(queue1)
    queue1.link(pgie)
    pgie.link(queue2)
    queue2.link(tiler)
    tiler.link(queue3)
    queue3.link(nvvidconv)
    nvvidconv.link(queue4)
    queue4.link(nvosd)
    if is_aarch64():
        nvosd.link(queue5)
        queue5.link(transform)
        transform.link(sink)
    else:
        nvosd.link(queue5)
        queue5.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)
    tiler_src_pad=pgie.get_static_pad("src")
    if not tiler_src_pad:
        sys.stderr.write(" Unable to get src pad \n")
    else:
        tiler_src_pad.add_probe(Gst.PadProbeType.BUFFER, tiler_src_pad_buffer_probe, 0)

    # List the sources
    print("Now playing...")
    for i, source in enumerate(args):
        if (i != 0):
            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)

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