NVIDIA-GPU-Bootcamp-Training/ai/DeepStream_Perf_Lab/English/python/source_code/utils/deepstream-no-osd.py

# Import required libraries 
import sys
sys.path.append('../')
sys.path.append('../source_code')
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.bus_call import bus_call
from common.FPS import GETFPS
import pyds


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

MUXER_OUTPUT_WIDTH=1920
MUXER_OUTPUT_HEIGHT=1080

TILED_OUTPUT_WIDTH=1920
TILED_OUTPUT_HEIGHT=1080
OSD_PROCESS_MODE= 0
OSD_DISPLAY_TEXT= 0
pgie_classes_str= ["Vehicle", "TwoWheeler", "Person","RoadSign"]

################ Three Stream Pipeline ###########
# Define Input and output Stream information 
num_sources = 3 
INPUT_VIDEO_1 = '/opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_720p.h264'
INPUT_VIDEO_2 = '/opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_720p.h264'
INPUT_VIDEO_3 = '/opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_720p.h264'


## Make Element or Print Error and any other detail
def make_elm_or_print_err(factoryname, name, printedname, detail=""):
  print("Creating", printedname)
  elm = Gst.ElementFactory.make(factoryname, name)
  if not elm:
     sys.stderr.write("Unable to create " + printedname + " \n")
  if detail:
     sys.stderr.write(detail)
  return elm

# src_pad_buffer_probe  
def src_pad_buffer_probe(pad,info,u_data):
    #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
    }
    # Set frame_number & rectangles to draw as 0 
    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
            frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
        except StopIteration:
            break
        
        # Get frame number , number of rectables to draw and object metadata
        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
            # Increment Object class by 1     
            obj_counter[obj_meta.class_id] += 1
            try: 
                l_obj=l_obj.next
            except StopIteration:
                break
        
        print("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]))
        
        # FPS Probe      
        fps_streams_new["stream{0}".format(frame_meta.pad_index)].get_fps()

        try:
            l_frame=l_frame.next
        except StopIteration:
            break

    return Gst.PadProbeReturn.OK

# Define variables to be used later
fps_streams_new={}
# Initialise FPS
for i in range(0,num_sources):
        fps_streams_new["stream{0}".format(i)]=GETFPS(i)

# 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")
    
########### Create Elements required for the Pipeline ########### 

######### Defining Stream 1 
# Source element for reading from the file
source1 = make_elm_or_print_err("filesrc", "file-source-1",'file-source-1')
# Since the data format in the input file is elementary h264 stream,we need a h264parser
h264parser1 = make_elm_or_print_err("h264parse", "h264-parser-1","h264-parser-1")
# Use nvdec_h264 for hardware accelerated decode on GPU
decoder1 = make_elm_or_print_err("nvv4l2decoder", "nvv4l2-decoder-1","nvv4l2-decoder-1")
   
##########

########## Defining Stream 2 
# Source element for reading from the file
source2 = make_elm_or_print_err("filesrc", "file-source-2","file-source-2")
# Since the data format in the input file is elementary h264 stream, we need a h264parser
h264parser2 = make_elm_or_print_err("h264parse", "h264-parser-2", "h264-parser-2")
# Use nvdec_h264 for hardware accelerated decode on GPU
decoder2 = make_elm_or_print_err("nvv4l2decoder", "nvv4l2-decoder-2","nvv4l2-decoder-2")
########### 

########## Defining Stream 3
# Source element for reading from the file
source3 = make_elm_or_print_err("filesrc", "file-source-3","file-source-3")
# Since the data format in the input file is elementary h264 stream, we need a h264parser
h264parser3 = make_elm_or_print_err("h264parse", "h264-parser-3", "h264-parser-3")
# Use nvdec_h264 for hardware accelerated decode on GPU
decoder3 = make_elm_or_print_err("nvv4l2decoder", "nvv4l2-decoder-3","nvv4l2-decoder-3")
########### 
    
# Create nvstreammux instance to form batches from one or more sources.
streammux = make_elm_or_print_err("nvstreammux", "Stream-muxer","Stream-muxer") 
# Use nvinfer to run inferencing on decoder's output, behaviour of inferencing is set through config file
pgie = make_elm_or_print_err("nvinfer", "primary-inference" ,"pgie")
# Use nvtracker to give objects unique-ids
tracker = make_elm_or_print_err("nvtracker", "tracker",'tracker')
# Seconday inference for Finding Car Color
sgie1 = make_elm_or_print_err("nvinfer", "secondary1-nvinference-engine",'sgie1')
# Seconday inference for Finding Car Make
sgie2 = make_elm_or_print_err("nvinfer", "secondary2-nvinference-engine",'sgie2')
# # Seconday inference for Finding Car Type
sgie3 = make_elm_or_print_err("nvinfer", "secondary3-nvinference-engine",'sgie3')
# Create Sink for storing the output 
fakesink = make_elm_or_print_err("fakesink", "fakesink", "Sink")

############ Set properties for the Elements ############
# Set Input Video files 
source1.set_property('location', INPUT_VIDEO_1)
source2.set_property('location', INPUT_VIDEO_2)
source3.set_property('location', INPUT_VIDEO_3)
# Set Input Width , Height and Batch Size 
streammux.set_property('width', 1920)
streammux.set_property('height', 1080)
streammux.set_property('batch-size', 1)
# Timeout in microseconds to wait after the first buffer is available 
# to push the batch even if a complete batch is not formed.
streammux.set_property('batched-push-timeout', 4000000)
# Set configuration file for nvinfer 
# Set Congifuration file for nvinfer 
pgie.set_property('config-file-path', "../source_code/N1/dstest4_pgie_config.txt")
sgie1.set_property('config-file-path', "../source_code/N1/dstest4_sgie1_config.txt")
sgie2.set_property('config-file-path', "../source_code/N1/dstest4_sgie2_config.txt")
sgie3.set_property('config-file-path', "../source_code/N1/dstest4_sgie3_config.txt")
#Set properties of tracker from tracker_config
config = configparser.ConfigParser()
config.read('../source_code/N1/dstest4_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)
        
# Fake sink properties 
fakesink.set_property("sync", 0)
fakesink.set_property("async", 0)

########## Add and Link ELements in the Pipeline ########## 

print("Adding elements to Pipeline \n")
pipeline.add(source1)
pipeline.add(h264parser1)
pipeline.add(decoder1)
pipeline.add(source2)
pipeline.add(h264parser2)
pipeline.add(decoder2)
pipeline.add(source3)
pipeline.add(h264parser3)
pipeline.add(decoder3)
pipeline.add(streammux)
pipeline.add(pgie)
pipeline.add(tracker)
pipeline.add(sgie1)
pipeline.add(sgie2)
pipeline.add(sgie3)
pipeline.add(fakesink)

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

source1.link(h264parser1)
h264parser1.link(decoder1)


###### Create Sink pad and connect to decoder's source pad 
sinkpad1 = streammux.get_request_pad("sink_0")
if not sinkpad1:
    sys.stderr.write(" Unable to get the sink pad of streammux \n")
    
srcpad1 = decoder1.get_static_pad("src")
if not srcpad1:
    sys.stderr.write(" Unable to get source pad of decoder \n")
    
srcpad1.link(sinkpad1)

######

###### Create Sink pad and connect to decoder's source pad 
source2.link(h264parser2)
h264parser2.link(decoder2)

sinkpad2 = streammux.get_request_pad("sink_1")
if not sinkpad2:
    sys.stderr.write(" Unable to get the sink pad of streammux \n")
    
srcpad2 = decoder2.get_static_pad("src")
if not srcpad2:
    sys.stderr.write(" Unable to get source pad of decoder \n")
    
srcpad2.link(sinkpad2)

######

###### Create Sink pad and connect to decoder's source pad 
source3.link(h264parser3)
h264parser3.link(decoder3)

sinkpad3 = streammux.get_request_pad("sink_2")
if not sinkpad2:
    sys.stderr.write(" Unable to get the sink pad of streammux \n")
    
srcpad3 = decoder3.get_static_pad("src")
if not srcpad3:
    sys.stderr.write(" Unable to get source pad of decoder \n")
    
srcpad3.link(sinkpad3)

######

streammux.link(pgie)
pgie.link(tracker)
tracker.link(sgie1)
sgie1.link(sgie2)
sgie2.link(sgie3)
sgie3.link(fakesink)

# 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)

print("Added and Linked elements to pipeline")

src_pad=sgie3.get_static_pad("src")
if not src_pad:
    sys.stderr.write(" Unable to get src pad \n")
else:
    src_pad.add_probe(Gst.PadProbeType.BUFFER, src_pad_buffer_probe, 0)
    
# List the sources
print("Now playing...")
print("Starting pipeline \n")
# start play back and listed to events		
pipeline.set_state(Gst.State.PLAYING)
start_time = time.time()
try:
    loop.run()
except:
    pass
# cleanup
print("Exiting app\n")
pipeline.set_state(Gst.State.NULL)
print("--- %s seconds ---" % (time.time() - start_time))