Test_3 python app for USB cameras

I am trying to modify the deepstream_sdk_v4.0.2_jetson/sources/python/apps/deepstream-test3/deepstream_test_3.py to adopt with multiple USB cameras. I tried to combine what I understood from https://devtalk.nvidia.com/default/topic/1066912/deepstream-sdk/deepstream-now-supports-python-/post/5408100/#5408100 (which is related to test_1) and https://devtalk.nvidia.com/default/topic/1061855/deepstream-sdk/how-to-run-deepstream-test3-with-usb-camera/post/5377948/#5377948 (which seems to be a working C version of test_3 for multiple USB cameras). But, clearly I am missing something and my code is not working!

Here is my code:

################################################################################
# Copyright (c) 2019, 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_VEHICLE = 0
PGIE_CLASS_ID_BICYCLE = 1
PGIE_CLASS_ID_PERSON = 2
PGIE_CLASS_ID_ROADSIGN = 3
MUXER_OUTPUT_WIDTH=1920
MUXER_OUTPUT_HEIGHT=80
MUXER_BATCH_TIMEOUT_USEC=4000000
TILED_OUTPUT_WIDTH=1920
TILED_OUTPUT_HEIGHT=1080
GST_CAPS_FEATURES_NVMM="memory:NVMM"
pgie_classes_str= ["Vehicle", "TwoWheeler", "Person","RoadSign"]

# 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.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)
        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_VEHICLE:0,
        PGIE_CLASS_ID_PERSON:0,
        PGIE_CLASS_ID_BICYCLE:0,
        PGIE_CLASS_ID_ROADSIGN:0
        }
        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)
            except StopIteration:
                break
            print(obj_meta.object_id)
            obj_counter[obj_meta.class_id] += 1
            try: 
                l_obj=l_obj.next
            except StopIteration:
                break

        # Get frame rate through this probe
        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)
    print("Creating Source \n ")
    source = Gst.ElementFactory.make("v4l2src", "usb-cam-source")
    if not source:
        sys.stderr.write(" Unable to create source \n")

caps_v4l2src = Gst.ElementFactory.make("capsfilter", "v4l2src_caps")
    if not caps_v4l2src:
        sys.stderr.write("Could not create caps_v4l2src")
    
        # videoconvert to make sure a superset of raw formats are supported
    vidconvsrc = Gst.ElementFactory.make("videoconvert", "convertor_src1")
    if not vidconvsrc:
        sys.stderr.write(" Unable to create videoconvert \n")

    # nvvideoconvert to convert incoming raw buffers to NVMM Mem (NvBufSurface API)
    nvvidconvsrc = Gst.ElementFactory.make("nvvideoconvert", "convertor_src2")
    if not nvvidconvsrc:
        sys.stderr.write(" Unable to create Nvvideoconvert \n")

    caps_vidconvsrc = Gst.ElementFactory.make("capsfilter", "nvmm_caps")
    if not caps_vidconvsrc:
        sys.stderr.write(" Unable to create capsfilter \n")

    caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw, framerate=15/1"))
    caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM)"))

    source.set_property('device', uri)

nbin.add(source)
    nbin.add(caps_v4l2src)
    nbin.add(vidconvsrc)
    nbin.add(nvvidconvsrc)
    nbin.add(caps_vidconvsrc)

source.link(caps_v4l2src)
    caps_v4l2src.link(vidconvsrc)
    vidconvsrc.link(nvvidconvsrc)
    nvvidconvsrc.link(caps_vidconvsrc)

# 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)

    srcpad = caps_vidconvsrc.get_static_pad("src")

    bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",srcpad))
    
    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()

    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]
        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)
        
    print("Creating Pgie \n ")
    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")

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")
    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")

    streammux.set_property('width', 1920)
    streammux.set_property('height', 1080)
    streammux.set_property('batch-size', number_sources)
    streammux.set_property('batched-push-timeout', 4000000)
    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)
    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)

#Set properties of tracker
    config = configparser.ConfigParser()
    config.read('dstest2_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)

print("Adding elements to Pipeline \n")
    pipeline.add(pgie)
    
    pipeline.add(tracker)

    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(pgie)

    pgie.link(tracker)

    tracker.link(tiler)
    tiler.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)
    tiler_src_pad=tracker.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))

And when I run

python3 deepstream_test_3.py /dev/video1

I get:

Creating Pipeline 
 
Creating streamux 
 
Creating source_bin  0  
 
Creating source bin
source-bin-00
Creating Source 
 
Traceback (most recent call last):
  File "deepstream_test_3.py", line 425, in <module>
    sys.exit(main(sys.argv))
  File "deepstream_test_3.py", line 277, in main
    source_bin=create_source_bin(i, uri_name)
  File "deepstream_test_3.py", line 236, in create_source_bin
    bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",srcpad))
TypeError: Expected a Gst.PadDirection, but got Pad

Obviously there is a problem in line 236, but my problem is more than that. Is my overall approach correct? What am I missing here? I am really confused.
Any help is appreciated.

information regarding the webcam:

nvidia@saeed:~/deepstream_sdk_v4.0.2_jetson/sources/python/apps/deepstream-test3$ v4l2-ctl --all -d /dev/video1
Driver Info (not using libv4l2):
	Driver name   : uvcvideo
	Card type     : UVC Camera (046d:0809)
	Bus info      : usb-3530000.xhci-2.4
	Driver version: 4.9.140
	Capabilities  : 0x84200001
		Video Capture
		Streaming
		Extended Pix Format
		Device Capabilities
	Device Caps   : 0x04200001
		Video Capture
		Streaming
		Extended Pix Format
Priority: 2
Video input : 0 (Camera 1: ok)
Format Video Capture:
	Width/Height      : 960/720
	Pixel Format      : 'YUYV'
	Field             : None
	Bytes per Line    : 1920
	Size Image        : 1382400
	Colorspace        : sRGB
	Transfer Function : Default (maps to sRGB)
	YCbCr/HSV Encoding: Default (maps to ITU-R 601)
	Quantization      : Default (maps to Limited Range)
	Flags             : 
Crop Capability Video Capture:
	Bounds      : Left 0, Top 0, Width 960, Height 720
	Default     : Left 0, Top 0, Width 960, Height 720
	Pixel Aspect: 1/1
Selection: crop_default, Left 0, Top 0, Width 960, Height 720
Selection: crop_bounds, Left 0, Top 0, Width 960, Height 720
Streaming Parameters Video Capture:
	Capabilities     : timeperframe
	Frames per second: 15.000 (15/1)
	Read buffers     : 0
                     brightness 0x00980900 (int)    : min=0 max=255 step=1 default=128 value=128
                       contrast 0x00980901 (int)    : min=0 max=255 step=1 default=32 value=32
                     saturation 0x00980902 (int)    : min=0 max=255 step=1 default=28 value=28
 white_balance_temperature_auto 0x0098090c (bool)   : default=1 value=1
                           gain 0x00980913 (int)    : min=0 max=255 step=1 default=0 value=0
           power_line_frequency 0x00980918 (menu)   : min=0 max=2 default=2 value=2
      white_balance_temperature 0x0098091a (int)    : min=0 max=10000 step=10 default=4000 value=0 flags=inactive
                      sharpness 0x0098091b (int)    : min=0 max=255 step=1 default=191 value=191
         backlight_compensation 0x0098091c (int)    : min=0 max=1 step=1 default=1 value=1
                  exposure_auto 0x009a0901 (menu)   : min=0 max=3 default=3 value=3
              exposure_absolute 0x009a0902 (int)    : min=1 max=10000 step=1 default=166 value=155 flags=inactive
         exposure_auto_priority 0x009a0903 (bool)   : default=0 value=1
                   pan_absolute 0x009a0908 (int)    : min=-36000 max=36000 step=3600 default=0 value=0
                  tilt_absolute 0x009a0909 (int)    : min=-36000 max=36000 step=3600 default=0 value=0

Hi,
You may change all resolutions in python code to 960x720 and try again.

The pipeline of your source should be

v4l2src ! video/x-raw,format=YUY2,width=960,height=720,framerate=15/1 ! videoconvert ! nvvideoconvert ! 'video/x-raw(memory:NVMM),format=NV12'
1 Like

Worked for me. Thanks.

Hi, where did you change this width and height in the code?

Where should I change/add this in the python code?